Job DescriptionJob DescriptionDescription: About Us eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. This position is contingent upon contract award Responsibilities: Designing, developing, and maintaining scalable data pipelines that ingest, reconcile, and validate Medicaid program data from MESH and connected CMS systems including T-MSIS, MBES, MacFin, SPoTT, and CMCS DataConnect Building and operating data ingestion workflows that support mixed-modality content - spreadsheets (Excel, CSV), documents (PDF, Word), API feeds, and enterprise data services - with full lineage and audit traceability Implementing the data layer that powers the Master Detailed Budget Table (MDBT) modernization, including parsing legacy and modern MDBT formats, normalizing line items (e.g., MMIS 2A/B, 4A/B, 5A/B/C), and validating total computable, state share, and federal share calculations Developing API services to facilitate bidirectional data integration between MESH (Salesforce) and external systems, including standardized integrations with T-MSIS for compliance and Data Quality Assessment status Building data processing workflows on AWS (S3, Glue, EMR, Athena, RDS/Redshift) and, where applicable, Databricks, Spark, and Hive for big-data processing Creating data products that feed Power BI dashboards and Salesforce reports, ensuring consistent definitions, refresh schedules, snapshot management, and data-quality indicators Implementing automated data quality, validation, and reconciliation jobs that flag funding decreases, mismatched FFP rates, missing submissions, and other anomalies Supporting AI/ML pipelines for the MESH platform - including features for AI-assisted submission analysis, predictive analytics, and anomaly detection - by providing curated, governed training and inference data Writing unit and integration tests for all data processing code and partnering with DevOps engineers on CI, CD, and IaC (GitHub Actions, Terraform) so pipelines deploy reliably Performing code reviews, contributing to data-engineering standards, and mentoring less experienced engineers on pipeline design, performance optimization, and observability Maintaining data security and privacy controls for data at rest and in transit (FIPS 140 validated encryption, KMS-managed keys, least-privilege access) consistent with CMS ARS 5.1 and FedRAMP Moderate baselines Documenting data dictionaries, lineage, calculation logic, and pipeline runbooks in CMS-approved tools (Confluence, GitHub) to support transparency, audit, and contract transition activities Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation 10+ years of hands-on software development experience; 4+ years of data pipeline experience using Python, Java, and cloud technologies Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline Strong understanding of AWS data services including S3, Redshift, RDS, EMR, AWS Glue, AWS Glue DataBrew, Athena, QuickSight, and Amazon SNS Experience with Spark and Hive for big-data processing Experience building job workflows on Databricks or comparable platforms Familiarity with workflow orchestration tools such as Airflow, Luigi, or Azkaban Experienced in data governance processes to ingest (batch and stream), curate, and share data with upstream and downstream consumers Strong skills with relational, NoSQL, and SQL databases including Postgres and Cassandra Familiarity with DevOps methodologies, including CI/CD pipelines (GitHub Actions) and IaC (Terraform) Experience with Agile methodology and test-driven development Desired Qualifications: Federal Government contracting work experience, particularly with CMS, MACBIS, or other HHS programs Experience working with Medicaid, MMIS, T-MSIS, APD/MDBT, or other CMS data sets Experience integrating data with Salesforce via REST/SOAP APIs, Bulk API, and Salesforce Connect Familiarity with Power BI semantic models, datamarts, and Microsoft Fabric / DataConnect equivalents Experience supporting AI/ML feature engineering and feature stores AWS Data Analytics or AWS Solutions Architect certification Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity: eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status
06/08/2026
Full time
Job DescriptionJob DescriptionDescription: About Us eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. This position is contingent upon contract award Responsibilities: Designing, developing, and maintaining scalable data pipelines that ingest, reconcile, and validate Medicaid program data from MESH and connected CMS systems including T-MSIS, MBES, MacFin, SPoTT, and CMCS DataConnect Building and operating data ingestion workflows that support mixed-modality content - spreadsheets (Excel, CSV), documents (PDF, Word), API feeds, and enterprise data services - with full lineage and audit traceability Implementing the data layer that powers the Master Detailed Budget Table (MDBT) modernization, including parsing legacy and modern MDBT formats, normalizing line items (e.g., MMIS 2A/B, 4A/B, 5A/B/C), and validating total computable, state share, and federal share calculations Developing API services to facilitate bidirectional data integration between MESH (Salesforce) and external systems, including standardized integrations with T-MSIS for compliance and Data Quality Assessment status Building data processing workflows on AWS (S3, Glue, EMR, Athena, RDS/Redshift) and, where applicable, Databricks, Spark, and Hive for big-data processing Creating data products that feed Power BI dashboards and Salesforce reports, ensuring consistent definitions, refresh schedules, snapshot management, and data-quality indicators Implementing automated data quality, validation, and reconciliation jobs that flag funding decreases, mismatched FFP rates, missing submissions, and other anomalies Supporting AI/ML pipelines for the MESH platform - including features for AI-assisted submission analysis, predictive analytics, and anomaly detection - by providing curated, governed training and inference data Writing unit and integration tests for all data processing code and partnering with DevOps engineers on CI, CD, and IaC (GitHub Actions, Terraform) so pipelines deploy reliably Performing code reviews, contributing to data-engineering standards, and mentoring less experienced engineers on pipeline design, performance optimization, and observability Maintaining data security and privacy controls for data at rest and in transit (FIPS 140 validated encryption, KMS-managed keys, least-privilege access) consistent with CMS ARS 5.1 and FedRAMP Moderate baselines Documenting data dictionaries, lineage, calculation logic, and pipeline runbooks in CMS-approved tools (Confluence, GitHub) to support transparency, audit, and contract transition activities Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation 10+ years of hands-on software development experience; 4+ years of data pipeline experience using Python, Java, and cloud technologies Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline Strong understanding of AWS data services including S3, Redshift, RDS, EMR, AWS Glue, AWS Glue DataBrew, Athena, QuickSight, and Amazon SNS Experience with Spark and Hive for big-data processing Experience building job workflows on Databricks or comparable platforms Familiarity with workflow orchestration tools such as Airflow, Luigi, or Azkaban Experienced in data governance processes to ingest (batch and stream), curate, and share data with upstream and downstream consumers Strong skills with relational, NoSQL, and SQL databases including Postgres and Cassandra Familiarity with DevOps methodologies, including CI/CD pipelines (GitHub Actions) and IaC (Terraform) Experience with Agile methodology and test-driven development Desired Qualifications: Federal Government contracting work experience, particularly with CMS, MACBIS, or other HHS programs Experience working with Medicaid, MMIS, T-MSIS, APD/MDBT, or other CMS data sets Experience integrating data with Salesforce via REST/SOAP APIs, Bulk API, and Salesforce Connect Familiarity with Power BI semantic models, datamarts, and Microsoft Fabric / DataConnect equivalents Experience supporting AI/ML feature engineering and feature stores AWS Data Analytics or AWS Solutions Architect certification Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity: eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status
Job DescriptionJob DescriptionDescription: About Us eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. This position is contingent upon contract award Responsibilities: Designing, developing, and maintaining scalable data pipelines that ingest, reconcile, and validate Medicaid program data from MESH and connected CMS systems including T-MSIS, MBES, MacFin, SPoTT, and CMCS DataConnect Building and operating data ingestion workflows that support mixed-modality content - spreadsheets (Excel, CSV), documents (PDF, Word), API feeds, and enterprise data services - with full lineage and audit traceability Implementing the data layer that powers the Master Detailed Budget Table (MDBT) modernization, including parsing legacy and modern MDBT formats, normalizing line items (e.g., MMIS 2A/B, 4A/B, 5A/B/C), and validating total computable, state share, and federal share calculations Developing API services to facilitate bidirectional data integration between MESH (Salesforce) and external systems, including standardized integrations with T-MSIS for compliance and Data Quality Assessment status Building data processing workflows on AWS (S3, Glue, EMR, Athena, RDS/Redshift) and, where applicable, Databricks, Spark, and Hive for big-data processing Creating data products that feed Power BI dashboards and Salesforce reports, ensuring consistent definitions, refresh schedules, snapshot management, and data-quality indicators Implementing automated data quality, validation, and reconciliation jobs that flag funding decreases, mismatched FFP rates, missing submissions, and other anomalies Supporting AI/ML pipelines for the MESH platform - including features for AI-assisted submission analysis, predictive analytics, and anomaly detection - by providing curated, governed training and inference data Writing unit and integration tests for all data processing code and partnering with DevOps engineers on CI, CD, and IaC (GitHub Actions, Terraform) so pipelines deploy reliably Performing code reviews, contributing to data-engineering standards, and mentoring less experienced engineers on pipeline design, performance optimization, and observability Maintaining data security and privacy controls for data at rest and in transit (FIPS 140 validated encryption, KMS-managed keys, least-privilege access) consistent with CMS ARS 5.1 and FedRAMP Moderate baselines Documenting data dictionaries, lineage, calculation logic, and pipeline runbooks in CMS-approved tools (Confluence, GitHub) to support transparency, audit, and contract transition activities Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation 10+ years of hands-on software development experience; 4+ years of data pipeline experience using Python, Java, and cloud technologies Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline Strong understanding of AWS data services including S3, Redshift, RDS, EMR, AWS Glue, AWS Glue DataBrew, Athena, QuickSight, and Amazon SNS Experience with Spark and Hive for big-data processing Experience building job workflows on Databricks or comparable platforms Familiarity with workflow orchestration tools such as Airflow, Luigi, or Azkaban Experienced in data governance processes to ingest (batch and stream), curate, and share data with upstream and downstream consumers Strong skills with relational, NoSQL, and SQL databases including Postgres and Cassandra Familiarity with DevOps methodologies, including CI/CD pipelines (GitHub Actions) and IaC (Terraform) Experience with Agile methodology and test-driven development Desired Qualifications: Federal Government contracting work experience, particularly with CMS, MACBIS, or other HHS programs Experience working with Medicaid, MMIS, T-MSIS, APD/MDBT, or other CMS data sets Experience integrating data with Salesforce via REST/SOAP APIs, Bulk API, and Salesforce Connect Familiarity with Power BI semantic models, datamarts, and Microsoft Fabric / DataConnect equivalents Experience supporting AI/ML feature engineering and feature stores AWS Data Analytics or AWS Solutions Architect certification Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity: eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status
06/08/2026
Full time
Job DescriptionJob DescriptionDescription: About Us eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. This position is contingent upon contract award Responsibilities: Designing, developing, and maintaining scalable data pipelines that ingest, reconcile, and validate Medicaid program data from MESH and connected CMS systems including T-MSIS, MBES, MacFin, SPoTT, and CMCS DataConnect Building and operating data ingestion workflows that support mixed-modality content - spreadsheets (Excel, CSV), documents (PDF, Word), API feeds, and enterprise data services - with full lineage and audit traceability Implementing the data layer that powers the Master Detailed Budget Table (MDBT) modernization, including parsing legacy and modern MDBT formats, normalizing line items (e.g., MMIS 2A/B, 4A/B, 5A/B/C), and validating total computable, state share, and federal share calculations Developing API services to facilitate bidirectional data integration between MESH (Salesforce) and external systems, including standardized integrations with T-MSIS for compliance and Data Quality Assessment status Building data processing workflows on AWS (S3, Glue, EMR, Athena, RDS/Redshift) and, where applicable, Databricks, Spark, and Hive for big-data processing Creating data products that feed Power BI dashboards and Salesforce reports, ensuring consistent definitions, refresh schedules, snapshot management, and data-quality indicators Implementing automated data quality, validation, and reconciliation jobs that flag funding decreases, mismatched FFP rates, missing submissions, and other anomalies Supporting AI/ML pipelines for the MESH platform - including features for AI-assisted submission analysis, predictive analytics, and anomaly detection - by providing curated, governed training and inference data Writing unit and integration tests for all data processing code and partnering with DevOps engineers on CI, CD, and IaC (GitHub Actions, Terraform) so pipelines deploy reliably Performing code reviews, contributing to data-engineering standards, and mentoring less experienced engineers on pipeline design, performance optimization, and observability Maintaining data security and privacy controls for data at rest and in transit (FIPS 140 validated encryption, KMS-managed keys, least-privilege access) consistent with CMS ARS 5.1 and FedRAMP Moderate baselines Documenting data dictionaries, lineage, calculation logic, and pipeline runbooks in CMS-approved tools (Confluence, GitHub) to support transparency, audit, and contract transition activities Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation 10+ years of hands-on software development experience; 4+ years of data pipeline experience using Python, Java, and cloud technologies Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or other related scientific or technical discipline Strong understanding of AWS data services including S3, Redshift, RDS, EMR, AWS Glue, AWS Glue DataBrew, Athena, QuickSight, and Amazon SNS Experience with Spark and Hive for big-data processing Experience building job workflows on Databricks or comparable platforms Familiarity with workflow orchestration tools such as Airflow, Luigi, or Azkaban Experienced in data governance processes to ingest (batch and stream), curate, and share data with upstream and downstream consumers Strong skills with relational, NoSQL, and SQL databases including Postgres and Cassandra Familiarity with DevOps methodologies, including CI/CD pipelines (GitHub Actions) and IaC (Terraform) Experience with Agile methodology and test-driven development Desired Qualifications: Federal Government contracting work experience, particularly with CMS, MACBIS, or other HHS programs Experience working with Medicaid, MMIS, T-MSIS, APD/MDBT, or other CMS data sets Experience integrating data with Salesforce via REST/SOAP APIs, Bulk API, and Salesforce Connect Familiarity with Power BI semantic models, datamarts, and Microsoft Fabric / DataConnect equivalents Experience supporting AI/ML feature engineering and feature stores AWS Data Analytics or AWS Solutions Architect certification Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: eSimplicity offers a comprehensive benefits package, including medical, dental, and vision coverage, 401(k) retirement benefits, paid time off, paid holidays, life and disability insurance, and additional wellness and employee support programs. Eligibility may vary based on employment status and applicable plan terms. Reasonable Accommodation: eSimplicity is committed to providing reasonable accommodations to qualified individuals with disabilities during the application and hiring process. Applicants who need assistance or an accommodation should contact Human Resources. Equal Employment Opportunity: eSimplicity is an Equal Opportunity Employer, including disability and protected veteran status. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, disability, or any other legally protected status
Job DescriptionJob DescriptionCompany Description BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence. Job Description We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a critical part in building scalable, reliable, and business-ready data solutions that enable enterprise analytics and reporting across the organization. The ideal candidate brings strong hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments. What You'll Do Design, build, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting use cases Lead automation efforts across ingestion, transformation, orchestration, and operational monitoring workflows Develop and maintain ingestion frameworks for structured and semi-structured healthcare data sources Build and expand semantic data layers within GCP and BigQuery to support consistent, trusted business reporting and analytics consumption Design scalable ELT/ETL workflows leveraging modern cloud-native architecture patterns Partner closely with architects, analytics teams, and business stakeholders to translate data requirements into scalable technical solutions Optimize BigQuery performance, partitioning, and cost management strategies Implement engineering best practices for testing, observability, reliability, and deployment automation Support data governance, data quality, and metadata management initiatives across the platform Mentor junior engineers and provide technical leadership across delivery teams Qualifications Required Skills Strong expertise in Google Cloud Platform (GCP), particularly: BigQuery Cloud Storage Cloud Composer / orchestration tooling Dataflow or modern ingestion frameworks Experience designing and building scalable data ingestion and pipeline automation frameworks Strong understanding of semantic layer development and dimensional modeling concepts Advanced SQL and Python development skills Experience with ETL/ELT pipeline design and orchestration Familiarity with CI/CD, infrastructure automation, and cloud engineering best practices Strong understanding of data quality, observability, and operational reliability principles Preferred Experience Experience working with healthcare data ecosystems and regulated enterprise environments Familiarity with healthcare data standards or payer/provider analytics platforms Experience supporting enterprise BI and analytics initiatives Exposure to dbt, Looker, or semantic modeling frameworks is a plus Required Experience 7+ years of experience in data engineering or cloud data platform development Proven experience delivering enterprise-scale cloud data solutions in GCP environments Experience leading technical workstreams or mentoring engineering teams Consulting or client-facing experience strongly preferred What Makes You Successful You are passionate about building scalable and maintainable cloud-native data solutions You balance hands-on engineering execution with technical leadership and collaboration You communicate effectively with both technical and business stakeholders You thrive in fast-paced, delivery-focused environments You bring strong ownership, curiosity, and continuous improvement mindset to your work Additional Information The starting pay range for this role is $150k - $160k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
06/08/2026
Full time
Job DescriptionJob DescriptionCompany Description BLEND360 is an acclaimed, forward-thinking Data, Digital Marketing, & AI Solutions Company, dedicated to fueling remarkable outcomes for our Fortune 500 clients. Our trajectory is one of continuous expansion, emerging at the crossroads of cutting-edge analytics, data proficiency, technology, and digital marketing excellence. Job Description We are seeking a Lead Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a critical part in building scalable, reliable, and business-ready data solutions that enable enterprise analytics and reporting across the organization. The ideal candidate brings strong hands-on engineering expertise, deep knowledge of cloud-native data platforms, and experience leading technical implementation efforts in complex enterprise healthcare environments. What You'll Do Design, build, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting use cases Lead automation efforts across ingestion, transformation, orchestration, and operational monitoring workflows Develop and maintain ingestion frameworks for structured and semi-structured healthcare data sources Build and expand semantic data layers within GCP and BigQuery to support consistent, trusted business reporting and analytics consumption Design scalable ELT/ETL workflows leveraging modern cloud-native architecture patterns Partner closely with architects, analytics teams, and business stakeholders to translate data requirements into scalable technical solutions Optimize BigQuery performance, partitioning, and cost management strategies Implement engineering best practices for testing, observability, reliability, and deployment automation Support data governance, data quality, and metadata management initiatives across the platform Mentor junior engineers and provide technical leadership across delivery teams Qualifications Required Skills Strong expertise in Google Cloud Platform (GCP), particularly: BigQuery Cloud Storage Cloud Composer / orchestration tooling Dataflow or modern ingestion frameworks Experience designing and building scalable data ingestion and pipeline automation frameworks Strong understanding of semantic layer development and dimensional modeling concepts Advanced SQL and Python development skills Experience with ETL/ELT pipeline design and orchestration Familiarity with CI/CD, infrastructure automation, and cloud engineering best practices Strong understanding of data quality, observability, and operational reliability principles Preferred Experience Experience working with healthcare data ecosystems and regulated enterprise environments Familiarity with healthcare data standards or payer/provider analytics platforms Experience supporting enterprise BI and analytics initiatives Exposure to dbt, Looker, or semantic modeling frameworks is a plus Required Experience 7+ years of experience in data engineering or cloud data platform development Proven experience delivering enterprise-scale cloud data solutions in GCP environments Experience leading technical workstreams or mentoring engineering teams Consulting or client-facing experience strongly preferred What Makes You Successful You are passionate about building scalable and maintainable cloud-native data solutions You balance hands-on engineering execution with technical leadership and collaboration You communicate effectively with both technical and business stakeholders You thrive in fast-paced, delivery-focused environments You bring strong ownership, curiosity, and continuous improvement mindset to your work Additional Information The starting pay range for this role is $150k - $160k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
Job DescriptionJob Description Data Engineer (Healthcare Data Pipelines) Contract US Citizen Remote Contract (1 year+) 100% Remote Due to our government client requirements, we can only consider US Citizens for this position. Will need to be able to obtain and maintain a Public Trust Clearance. NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED. Description We're seeking a Data Engineer (Healthcare Data Pipelines) to support our client on a CMS program, focused on building and maintaining data pipelines and production analytics systems. This is a great fit for someone who enjoys structured workflows, automation, and data quality at scale. Responsibilities Will be responsible for developing code based on requirements, developing visualizations and interating base don client feedback. Build and maintain ETL/data pipelines (Python + SQL) Support weekly/monthly production data workflows Ensure data quality and reliability across systems Work in an Agile environment (Jira/Confluence) Requirements Strong Python + SQL + ETL experience GitHub Experience with complex data (healthcare claims experience; Medicaid experience highly desired) Desired Enterprise-CMCS GitHub Databricks (Specifically DataConnect Databricks) BI tools (QuickSight or other BI tools for developing visualizations) Jira and Confluence An understanding of data ingestion and data processing, data linking, and software application lifecycle Familiarity with Agile development and work management. Please Note: Only those individuals selected for an interview will be contacted. No calls, inquiries, or Third-Party Vendors please. We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. (The ACI Group is unable to sponsor H1B Visas). $1000 Referral Bonus - . Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.
06/08/2026
Full time
Job DescriptionJob Description Data Engineer (Healthcare Data Pipelines) Contract US Citizen Remote Contract (1 year+) 100% Remote Due to our government client requirements, we can only consider US Citizens for this position. Will need to be able to obtain and maintain a Public Trust Clearance. NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED. Description We're seeking a Data Engineer (Healthcare Data Pipelines) to support our client on a CMS program, focused on building and maintaining data pipelines and production analytics systems. This is a great fit for someone who enjoys structured workflows, automation, and data quality at scale. Responsibilities Will be responsible for developing code based on requirements, developing visualizations and interating base don client feedback. Build and maintain ETL/data pipelines (Python + SQL) Support weekly/monthly production data workflows Ensure data quality and reliability across systems Work in an Agile environment (Jira/Confluence) Requirements Strong Python + SQL + ETL experience GitHub Experience with complex data (healthcare claims experience; Medicaid experience highly desired) Desired Enterprise-CMCS GitHub Databricks (Specifically DataConnect Databricks) BI tools (QuickSight or other BI tools for developing visualizations) Jira and Confluence An understanding of data ingestion and data processing, data linking, and software application lifecycle Familiarity with Agile development and work management. Please Note: Only those individuals selected for an interview will be contacted. No calls, inquiries, or Third-Party Vendors please. We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. (The ACI Group is unable to sponsor H1B Visas). $1000 Referral Bonus - . Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.
Job DescriptionJob Description Data Engineer (Healthcare Data Pipelines) Contract US Citizen Remote Contract (1 year+) 100% Remote Due to our government client requirements, we can only consider US Citizens for this position. Will need to be able to obtain and maintain a Public Trust Clearance. NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED. Description We're seeking a Data Engineer (Healthcare Data Pipelines) to support our client on a CMS program, focused on building and maintaining data pipelines and production analytics systems. This is a great fit for someone who enjoys structured workflows, automation, and data quality at scale. Responsibilities Will be responsible for developing code based on requirements, developing visualizations and interating base don client feedback. Build and maintain ETL/data pipelines (Python + SQL) Support weekly/monthly production data workflows Ensure data quality and reliability across systems Work in an Agile environment (Jira/Confluence) Requirements Strong Python + SQL + ETL experience GitHub Experience with complex data (healthcare claims experience; Medicaid experience highly desired) Desired Enterprise-CMCS GitHub Databricks (Specifically DataConnect Databricks) BI tools (QuickSight or other BI tools for developing visualizations) Jira and Confluence An understanding of data ingestion and data processing, data linking, and software application lifecycle Familiarity with Agile development and work management. Please Note: Only those individuals selected for an interview will be contacted. No calls, inquiries, or Third-Party Vendors please. We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. (The ACI Group is unable to sponsor H1B Visas). $1000 Referral Bonus - . Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.
06/08/2026
Full time
Job DescriptionJob Description Data Engineer (Healthcare Data Pipelines) Contract US Citizen Remote Contract (1 year+) 100% Remote Due to our government client requirements, we can only consider US Citizens for this position. Will need to be able to obtain and maintain a Public Trust Clearance. NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED. Description We're seeking a Data Engineer (Healthcare Data Pipelines) to support our client on a CMS program, focused on building and maintaining data pipelines and production analytics systems. This is a great fit for someone who enjoys structured workflows, automation, and data quality at scale. Responsibilities Will be responsible for developing code based on requirements, developing visualizations and interating base don client feedback. Build and maintain ETL/data pipelines (Python + SQL) Support weekly/monthly production data workflows Ensure data quality and reliability across systems Work in an Agile environment (Jira/Confluence) Requirements Strong Python + SQL + ETL experience GitHub Experience with complex data (healthcare claims experience; Medicaid experience highly desired) Desired Enterprise-CMCS GitHub Databricks (Specifically DataConnect Databricks) BI tools (QuickSight or other BI tools for developing visualizations) Jira and Confluence An understanding of data ingestion and data processing, data linking, and software application lifecycle Familiarity with Agile development and work management. Please Note: Only those individuals selected for an interview will be contacted. No calls, inquiries, or Third-Party Vendors please. We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. (The ACI Group is unable to sponsor H1B Visas). $1000 Referral Bonus - . Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.
Job DescriptionJob Description Overview Senior Database EngineerLocation: On-Site at Customer Location (Annapolis Junction, MD) Clearance Required: TS/SCI with Poly Are you ready to take your database engineering expertise to the next level and support mission-critical operations? BigBear.ai is seeking a Senior Database Engineer to join our team and assist in meeting the needs of our government customer. In this role, you'll work onsite at the assigned customer location, ensuring optimized database performance and delivering solutions that directly impact national security. If you're passionate about database management, agile development, and building scalable solutions, we want to hear from you! Responsibilities Optimize Performance: Monitor databases and related systems to ensure they are running efficiently and effectively. Support Agile Development: Participate in agile activities, including release planning, sprint planning, and retrospectives, to incorporate lessons learned into engineering processes. Model Data: Design local schemas, tables, data types, indexes, procedures, and functions to support mission needs. Collaborate with Developers: Work closely with developers throughout the application development lifecycle to build features that deliver value to our customers. Qualifications Experience: Bachelor's Degree and 10+ years of database experience. Clearance: TS/SCI with Poly (required). Technical Expertise: Proficiency in database technologies such as MongoDB or MariaDB, including: Deployment and management of the database itself. Debugging and resolving optimization issues. Scaling databases to meet performance demands. Experience with Django or Flask frameworks. Familiarity with REST endpoints and microservices.
06/08/2026
Full time
Job DescriptionJob Description Overview Senior Database EngineerLocation: On-Site at Customer Location (Annapolis Junction, MD) Clearance Required: TS/SCI with Poly Are you ready to take your database engineering expertise to the next level and support mission-critical operations? BigBear.ai is seeking a Senior Database Engineer to join our team and assist in meeting the needs of our government customer. In this role, you'll work onsite at the assigned customer location, ensuring optimized database performance and delivering solutions that directly impact national security. If you're passionate about database management, agile development, and building scalable solutions, we want to hear from you! Responsibilities Optimize Performance: Monitor databases and related systems to ensure they are running efficiently and effectively. Support Agile Development: Participate in agile activities, including release planning, sprint planning, and retrospectives, to incorporate lessons learned into engineering processes. Model Data: Design local schemas, tables, data types, indexes, procedures, and functions to support mission needs. Collaborate with Developers: Work closely with developers throughout the application development lifecycle to build features that deliver value to our customers. Qualifications Experience: Bachelor's Degree and 10+ years of database experience. Clearance: TS/SCI with Poly (required). Technical Expertise: Proficiency in database technologies such as MongoDB or MariaDB, including: Deployment and management of the database itself. Debugging and resolving optimization issues. Scaling databases to meet performance demands. Experience with Django or Flask frameworks. Familiarity with REST endpoints and microservices.
Job DescriptionJob Description Perks and Benefits 100% Paid Healthcare 10% 401k in every paycheck 100% Fully Vested! NOTE - Our positions require a Top Secret clearance, as well as the favorable completion of a polygraph. Applicants must be authorized to work in the U.S. We are unable to sponsor an employment Visa. What You'll Be Doing (We don't love the bullet points, but we love the work!) In this Data focused Software Engineering role, you'll orchestrate complex operational data flows including data storage, data transport, data management, data security, data compliance, and knowledge store management. Additional tasking shall include working with the mission customer to perform exploratory data analysis on raw data to clean, enrich, transform and convert the raw data into the required formats. You'll get to be responsible for devising methods to tame messy raw inputs, and improve the reliability, compliance, and movement of mission-critical data across systems.Required Skills Experience using the Linux CLI and Tools Experience writing scripts using Bash/Python Experience designing and implementing Java solutions Experience with Apache NiFi system administration Experience using Apache NiFi canvas to process and distribute data Experience creating, managing, and troubleshooting complex operational data flows Experience with the Atlassian Tool Suite (JIRA, Confluence) Desired Skills Experience with Corporate data flow processes and tools Experience with Corporate data security and compliance procedures and policies Demonstrated ability to design, develop, and maintain Perl scripts and applications Fluent in sarcasm, kindness, and the occasional office banter Powered by JazzHR n93e7bd9YB
06/08/2026
Full time
Job DescriptionJob Description Perks and Benefits 100% Paid Healthcare 10% 401k in every paycheck 100% Fully Vested! NOTE - Our positions require a Top Secret clearance, as well as the favorable completion of a polygraph. Applicants must be authorized to work in the U.S. We are unable to sponsor an employment Visa. What You'll Be Doing (We don't love the bullet points, but we love the work!) In this Data focused Software Engineering role, you'll orchestrate complex operational data flows including data storage, data transport, data management, data security, data compliance, and knowledge store management. Additional tasking shall include working with the mission customer to perform exploratory data analysis on raw data to clean, enrich, transform and convert the raw data into the required formats. You'll get to be responsible for devising methods to tame messy raw inputs, and improve the reliability, compliance, and movement of mission-critical data across systems.Required Skills Experience using the Linux CLI and Tools Experience writing scripts using Bash/Python Experience designing and implementing Java solutions Experience with Apache NiFi system administration Experience using Apache NiFi canvas to process and distribute data Experience creating, managing, and troubleshooting complex operational data flows Experience with the Atlassian Tool Suite (JIRA, Confluence) Desired Skills Experience with Corporate data flow processes and tools Experience with Corporate data security and compliance procedures and policies Demonstrated ability to design, develop, and maintain Perl scripts and applications Fluent in sarcasm, kindness, and the occasional office banter Powered by JazzHR n93e7bd9YB
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
06/08/2026
Full time
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
06/08/2026
Full time
Job DescriptionJob DescriptionDescription: About Us: eSimplicity is a modern digital services company that partners with government agencies to improve the lives and protect the well-being of all Americans, from veterans and service members to children, families, and seniors. Our engineers, designers, and strategists cut through complexity to create intuitive products and services that equip federal agencies with solutions to courageously transform today for a better tomorrow. Responsibilities: Responsible for developing, expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure optimal data delivery architecture is consistent throughout ongoing projects. Creates new pipeline and maintains existing pipeline, updates Extract, Transform, Load (ETL) process, creates new ETL feature , builds PoCs with Redshift Spectrum, Databricks, AWS EMR, SageMaker, etc.; Implements, with support of project data specialists, large dataset engineering: data augmentation, data quality analysis, data analytics (anomalies and trends), data profiling, data algorithms, and (measure/develop) data maturity models and develop data strategy recommendations. Operate large-scale data processing pipelines and resolve business and technical issues pertaining to the processing and data quality. Assemble large, complex sets of data that meet non-functional and functional business requirements Identify, design, and implement internal process improvements including re-designing data infrastructure for greater scalability, optimizing data delivery, and automating manual processes Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using AWS and SQL technologies Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition? Working with stakeholders including data, design, product and government stakeholders and assisting them with data-related technical issues Write unit and integration tests for all data processing code. Work with DevOps engineers on CI, CD, and IaC. Read specs and translate them into code and design documents. Perform code reviews and develop processes for improving code quality. Perform other duties as assigned. Requirements: Required Qualifications: All candidates must pass public trust clearance through the U.S. Federal Government. This requires candidates to either be U.S. citizens or pass clearance through the Foreign National Government System which will require that candidates have lived within the United States for at least 3 out of the previous 5 years, have a valid and non-expired passport from their country of birth and appropriate VISA/work permit documentation. Minimum of 8 years of experience as a Data Engineer or in hands-on software development, including at least 4 years using Python, Java, and cloud technologies for building and maintaining data pipelines. Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related scientific or technical discipline required. OR In lieu of a degree, candidates may qualify with 10 years of general information technology experience, including at least 8 years of specialized experience. Expert data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. Self-sufficient and comfortable supporting the data needs of multiple teams, systems, and products. Experienced in designing data architecture for shared services, scalability, and performance Experienced in designing data services including API, meta data, and data catalogue. Experienced in data governance process to ingest (batch, stream), curate, and share data with upstream and downstream data users. Ability to build and optimize data sets, 'big data' data pipelines and architectures? Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions? Excellent analytic skills associated with working on unstructured datasets? Ability to build processes that support data transformation, workload management, data structures, dependency and metadata Demonstrated understanding and experience using software and tools including big data tools like Spark and Hadoop; relational databases including MySQL and Postgres; workflow management and pipeline tools such as Apache Airflow, and AWS Step Function; AWS cloud services including Redshift, RDS, EMR and EC2; stream-processing systems like Spark-Streaming and Storm; and object function/object-oriented scripting languages including Scala, Java and Python.? Flexible and willing to accept a change in priorities as necessary. Ability to work in a fast-paced, team-oriented environment Experience with Agile methodology, using test-driven development. Experience with GitHub and Atlassian Jira/Confluence. Excellent command of written and spoken English. Desired Qualifications: Federal Government contracting work experience. Databricks Certification, Google's Certified Professional-Data-Engineer certification, IBM Certified Data Engineer - Big Data certification, CCP Data Engineer for Cloudera Centers for Medicare and Medicaid Services (CMS) or Health Care Industry experience Experience with healthcare quality data including Medicaid and CHIP provider data, beneficiary data, claims data, and quality measure data. Working Environment: eSimplicity supports a remote work environment operating within the Eastern time zone so we can work with and respond to our government clients. Expected hours are 9:00 AM to 5:00 PM Eastern unless otherwise directed by your manager. Occasional travel for training and project meetings. It is estimated to be less than 5% per year. Benefits: We offer highly competitive salaries and full healthcare benefits. Equal Employment Opportunity: eSimplicity is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, gender, age, status as a protected veteran, sexual orientation, gender identity, or status as a qualified individual with a disability.
Job DescriptionJob DescriptionCompany Description At Blend360, we help organizations transform complex data into actionable insights through modern cloud platforms, advanced analytics, and AI-driven solutions. We partner with leading enterprises across healthcare, telecommunications, financial services, and retail to build scalable, high-impact data ecosystems that drive smarter business decisions. Job Description We are seeking a Senior Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, pipeline automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a key part in designing and delivering scalable, reliable, and business-ready data solutions that support enterprise analytics, operational reporting, and data-driven decision-making. The ideal candidate brings strong hands-on engineering expertise, deep experience with cloud-native data platforms, and a passion for building modern, scalable data architectures in complex enterprise healthcare environments. What You'll Do Design, develop, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting initiatives Build and automate ingestion frameworks for structured and semi-structured healthcare data sources Develop and expand semantic data layers in GCP and BigQuery to support trusted, consistent analytics consumption across business teams Design and implement scalable ELT/ETL workflows using modern cloud-native architecture patterns Automate orchestration, monitoring, and operational processes across the data platform Partner with architects, analytics teams, and business stakeholders to translate requirements into scalable technical solutions Optimize BigQuery performance, partitioning, and query efficiency to improve scalability and cost management Implement engineering best practices for testing, observability, reliability, deployment automation, and operational support Contribute to data governance, metadata management, and data quality initiatives across the platform Mentor junior engineers and contribute to a collaborative, high-performing engineering culture Qualifications Strong expertise in Google Cloud Platform (GCP), including: BigQuery Cloud Storage Cloud Composer or orchestration tooling Dataflow or modern ingestion frameworks Experience designing and building scalable data ingestion and pipeline automation solutions Strong understanding of semantic layer development and dimensional modeling concepts Advanced SQL and Python development skills Experience with ELT/ETL pipeline design, orchestration, and optimization Familiarity with CI/CD pipelines, infrastructure automation, and cloud engineering best practices Strong understanding of data quality, observability, and operational reliability principles Preferred Experience Experience working within healthcare data ecosystems and regulated enterprise environments Familiarity with healthcare analytics platforms, payer/provider data models, or healthcare interoperability standards Experience supporting enterprise BI and analytics initiatives Exposure to dbt, Looker, or semantic modeling frameworks is a plus Required Experience 5+ years of experience in data engineering or cloud data platform development Proven experience delivering enterprise-scale cloud data solutions within GCP environments Experience contributing to large-scale data modernization or analytics transformation initiatives Consulting or client-facing delivery experience strongly preferred What Makes You Successful You are passionate about building scalable, maintainable, and high-performing cloud-native data solutions You thrive in collaborative, fast-paced delivery environments You balance strong technical execution with effective communication and stakeholder collaboration You bring a mindset of ownership, curiosity, and continuous improvement to your work You enjoy solving complex data challenges and driving measurable business impact through technology Additional Information The starting pay range for this role is $115k - $125k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
06/08/2026
Full time
Job DescriptionJob DescriptionCompany Description At Blend360, we help organizations transform complex data into actionable insights through modern cloud platforms, advanced analytics, and AI-driven solutions. We partner with leading enterprises across healthcare, telecommunications, financial services, and retail to build scalable, high-impact data ecosystems that drive smarter business decisions. Job Description We are seeking a Senior Data Engineer to support a large-scale healthcare data platform initiative focused on modernizing data ingestion, pipeline automation, and semantic layer capabilities within Google Cloud Platform (GCP). This role will play a key part in designing and delivering scalable, reliable, and business-ready data solutions that support enterprise analytics, operational reporting, and data-driven decision-making. The ideal candidate brings strong hands-on engineering expertise, deep experience with cloud-native data platforms, and a passion for building modern, scalable data architectures in complex enterprise healthcare environments. What You'll Do Design, develop, and optimize scalable data pipelines supporting enterprise healthcare analytics and reporting initiatives Build and automate ingestion frameworks for structured and semi-structured healthcare data sources Develop and expand semantic data layers in GCP and BigQuery to support trusted, consistent analytics consumption across business teams Design and implement scalable ELT/ETL workflows using modern cloud-native architecture patterns Automate orchestration, monitoring, and operational processes across the data platform Partner with architects, analytics teams, and business stakeholders to translate requirements into scalable technical solutions Optimize BigQuery performance, partitioning, and query efficiency to improve scalability and cost management Implement engineering best practices for testing, observability, reliability, deployment automation, and operational support Contribute to data governance, metadata management, and data quality initiatives across the platform Mentor junior engineers and contribute to a collaborative, high-performing engineering culture Qualifications Strong expertise in Google Cloud Platform (GCP), including: BigQuery Cloud Storage Cloud Composer or orchestration tooling Dataflow or modern ingestion frameworks Experience designing and building scalable data ingestion and pipeline automation solutions Strong understanding of semantic layer development and dimensional modeling concepts Advanced SQL and Python development skills Experience with ELT/ETL pipeline design, orchestration, and optimization Familiarity with CI/CD pipelines, infrastructure automation, and cloud engineering best practices Strong understanding of data quality, observability, and operational reliability principles Preferred Experience Experience working within healthcare data ecosystems and regulated enterprise environments Familiarity with healthcare analytics platforms, payer/provider data models, or healthcare interoperability standards Experience supporting enterprise BI and analytics initiatives Exposure to dbt, Looker, or semantic modeling frameworks is a plus Required Experience 5+ years of experience in data engineering or cloud data platform development Proven experience delivering enterprise-scale cloud data solutions within GCP environments Experience contributing to large-scale data modernization or analytics transformation initiatives Consulting or client-facing delivery experience strongly preferred What Makes You Successful You are passionate about building scalable, maintainable, and high-performing cloud-native data solutions You thrive in collaborative, fast-paced delivery environments You balance strong technical execution with effective communication and stakeholder collaboration You bring a mindset of ownership, curiosity, and continuous improvement to your work You enjoy solving complex data challenges and driving measurable business impact through technology Additional Information The starting pay range for this role is $115k - $125k. Actual compensation within the range will be dependent on several factors including but not limited to relevant experience, skills, certifications, training, and location. It is not typical for an individual to be hired at or near the top of the range and determining factors for compensation are considered for each individual circumstance. BLEND360 also offers a competitive benefits program to meet the health and financial well-being of our team and their families. You can look forward to a range of benefits including medical, dental, vision, 401K, PTO, paid holidays, commuter benefits, spending accounts, life insurance, disability coverage, and EAPs.
Job DescriptionJob DescriptionJob Title: Data Engineer Company: BLN24 About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client's end-state, and then seamlessly integrating within each Agency's organization to improve and enhance strategic and technical operations and deployments. Position Overview: BLN24 is seeking a Data Engineer to support the design and development of a data integrity and quality monitoring application. This role focuses on supporting data pipelines, validation frameworks, and user-facing tools that enable stakeholders to assess, validate, and act on data quality issues. The Data Engineer will contribute to both backend data processing and frontend application logic, ensuring that data is accurate, traceable, and usable within a web-based decision-support environment. The ideal candidate combines strong engineering skills with an understanding of data quality, metrics, and user workflows. Key Responsibilities: Design and implement data pipelines to ingest, transform, and prepare data for quality validation and analysis. Develop logic to assess data integrity, completeness, and correctness across datasets. Build and support a web-based application using Dash and Mantine components to enable users to explore and validate data. Implement data validation rules, anomaly detection checks, and quality metrics. Translate business and analytical requirements into structured data models, fields, and transformations. Develop features that allow users to filter, review, and take action on flagged data issues. Ensure traceability of data through transformation steps, supporting auditability and reproducibility. Collaborate with stakeholders to understand workflows and design intuitive data review experiences. Optimize performance of queries and backend processes supporting the application. Support deployment and integration of application components within cloud environments. Contribute to documentation of data logic, validation rules, and system behavior. Required Qualifications: 2-4+ years of experience in data engineering, analytics engineering, or similar roles. Strong proficiency in Python and SQL for data transformation and analysis. Experience building data-driven applications (e.g., Dash or similar frameworks). Familiarity with data quality concepts such as validation, completeness, and anomaly detection. Understanding of data modeling and structuring datasets for analytics use cases. Ability to translate analytical needs into technical implementations. Experience working in Agile environments and collaborating with cross-functional teams. Preferred Qualifications: Experience with Dash Mantine Components or similar UI libraries. Familiarity with cloud platforms (AWS or similar). Experience with data lineage, traceability, or audit frameworks. Experience supporting decision-support tools or operational analytics applications. What BLN24 brings to the Game: BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of - physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans. You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability. Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home. BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. Powered by JazzHR HmMI6eucwI
06/08/2026
Full time
Job DescriptionJob DescriptionJob Title: Data Engineer Company: BLN24 About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client's end-state, and then seamlessly integrating within each Agency's organization to improve and enhance strategic and technical operations and deployments. Position Overview: BLN24 is seeking a Data Engineer to support the design and development of a data integrity and quality monitoring application. This role focuses on supporting data pipelines, validation frameworks, and user-facing tools that enable stakeholders to assess, validate, and act on data quality issues. The Data Engineer will contribute to both backend data processing and frontend application logic, ensuring that data is accurate, traceable, and usable within a web-based decision-support environment. The ideal candidate combines strong engineering skills with an understanding of data quality, metrics, and user workflows. Key Responsibilities: Design and implement data pipelines to ingest, transform, and prepare data for quality validation and analysis. Develop logic to assess data integrity, completeness, and correctness across datasets. Build and support a web-based application using Dash and Mantine components to enable users to explore and validate data. Implement data validation rules, anomaly detection checks, and quality metrics. Translate business and analytical requirements into structured data models, fields, and transformations. Develop features that allow users to filter, review, and take action on flagged data issues. Ensure traceability of data through transformation steps, supporting auditability and reproducibility. Collaborate with stakeholders to understand workflows and design intuitive data review experiences. Optimize performance of queries and backend processes supporting the application. Support deployment and integration of application components within cloud environments. Contribute to documentation of data logic, validation rules, and system behavior. Required Qualifications: 2-4+ years of experience in data engineering, analytics engineering, or similar roles. Strong proficiency in Python and SQL for data transformation and analysis. Experience building data-driven applications (e.g., Dash or similar frameworks). Familiarity with data quality concepts such as validation, completeness, and anomaly detection. Understanding of data modeling and structuring datasets for analytics use cases. Ability to translate analytical needs into technical implementations. Experience working in Agile environments and collaborating with cross-functional teams. Preferred Qualifications: Experience with Dash Mantine Components or similar UI libraries. Familiarity with cloud platforms (AWS or similar). Experience with data lineage, traceability, or audit frameworks. Experience supporting decision-support tools or operational analytics applications. What BLN24 brings to the Game: BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of - physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans. You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability. Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home. BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. Powered by JazzHR HmMI6eucwI
Job DescriptionJob DescriptionBuild to something to be proud of. Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country. Description Captivation Software is looking for a mid level software engineer who will performing as a Cloud-Based Analytics Developer to join our team. As part of our organization, you will be responsible for developing and maintaining high-performance analytic solutions that process heavy volumes of data. This is an excellent opportunity for someone experienced in data analytics writing, and a passion for big data and distributed computing. RequirementsSecurity Clearance: Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen Minimum Qualifications: Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required Bachelor's degree in Computer Science or related discipline from an accredited college or university is required Four (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor's degree. Required Skills: Spark MapReduce SQL/NoSQL Pandas/Numpy/SciPy This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms. Benefits Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience) Up to 20% 401k contribution (No Matching Required and Vested from Day 1) Above Market Hourly Rates $3,600 HSA Contribution 6 Weeks Paid Time Off Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D
06/08/2026
Full time
Job DescriptionJob DescriptionBuild to something to be proud of. Captivation has built a reputation on providing customers exactly what is needed in a timely manner. Our team of engineers take pride in what they develop and constantly innovate to provide the best solution. Captivation is looking for software developers who can get stuff done while making a difference in support of the mission to protect our country. Description Captivation Software is looking for a mid level software engineer who will performing as a Cloud-Based Analytics Developer to join our team. As part of our organization, you will be responsible for developing and maintaining high-performance analytic solutions that process heavy volumes of data. This is an excellent opportunity for someone experienced in data analytics writing, and a passion for big data and distributed computing. RequirementsSecurity Clearance: Must currently hold a Top Secret/SCI U.S. Government security clearance with a favorable Polygraph, therefore all candidates must be a U.S. citizen Minimum Qualifications: Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and complexity is required Bachelor's degree in Computer Science or related discipline from an accredited college or university is required Four (4) years of SWE experience on projects with similar software processes may be substituted for a bachelor's degree. Required Skills: Spark MapReduce SQL/NoSQL Pandas/Numpy/SciPy This position is open for direct hires only. We will not consider candidates from third party staffing/recruiting firms. Benefits Annual Salary: $130,000 - $270,000 (Depends on the Years of Experience) Up to 20% 401k contribution (No Matching Required and Vested from Day 1) Above Market Hourly Rates $3,600 HSA Contribution 6 Weeks Paid Time Off Company Paid Employee Medical/Dental/Vision Insurance/Life Insurance/Short-Term & Long-Term Disability/AD&D
Job DescriptionJob DescriptionJob Title: Data Engineer Company: BLN24 About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client's end-state, and then seamlessly integrating within each Agency's organization to improve and enhance strategic and technical operations and deployments. Position Overview: BLN24 is seeking a Data Engineer to support the design and development of a data integrity and quality monitoring application. This role focuses on supporting data pipelines, validation frameworks, and user-facing tools that enable stakeholders to assess, validate, and act on data quality issues. The Data Engineer will contribute to both backend data processing and frontend application logic, ensuring that data is accurate, traceable, and usable within a web-based decision-support environment. The ideal candidate combines strong engineering skills with an understanding of data quality, metrics, and user workflows. Key Responsibilities: Design and implement data pipelines to ingest, transform, and prepare data for quality validation and analysis. Develop logic to assess data integrity, completeness, and correctness across datasets. Build and support a web-based application using Dash and Mantine components to enable users to explore and validate data. Implement data validation rules, anomaly detection checks, and quality metrics. Translate business and analytical requirements into structured data models, fields, and transformations. Develop features that allow users to filter, review, and take action on flagged data issues. Ensure traceability of data through transformation steps, supporting auditability and reproducibility. Collaborate with stakeholders to understand workflows and design intuitive data review experiences. Optimize performance of queries and backend processes supporting the application. Support deployment and integration of application components within cloud environments. Contribute to documentation of data logic, validation rules, and system behavior. Required Qualifications: 2-4+ years of experience in data engineering, analytics engineering, or similar roles. Strong proficiency in Python and SQL for data transformation and analysis. Experience building data-driven applications (e.g., Dash or similar frameworks). Familiarity with data quality concepts such as validation, completeness, and anomaly detection. Understanding of data modeling and structuring datasets for analytics use cases. Ability to translate analytical needs into technical implementations. Experience working in Agile environments and collaborating with cross-functional teams. Preferred Qualifications: Experience with Dash Mantine Components or similar UI libraries. Familiarity with cloud platforms (AWS or similar). Experience with data lineage, traceability, or audit frameworks. Experience supporting decision-support tools or operational analytics applications. What BLN24 brings to the Game: BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of - physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans. You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability. Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home. BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. Powered by JazzHR HmMI6eucwI
06/08/2026
Full time
Job DescriptionJob DescriptionJob Title: Data Engineer Company: BLN24 About Us: We find strength in teamwork-a better you is a better us BLN24 is an award-winning Management Consulting Firm that supports the U.S. Federal Government in successfully achieving their mission and goals. Our service and solutions delivery start with understanding each client's end-state, and then seamlessly integrating within each Agency's organization to improve and enhance strategic and technical operations and deployments. Position Overview: BLN24 is seeking a Data Engineer to support the design and development of a data integrity and quality monitoring application. This role focuses on supporting data pipelines, validation frameworks, and user-facing tools that enable stakeholders to assess, validate, and act on data quality issues. The Data Engineer will contribute to both backend data processing and frontend application logic, ensuring that data is accurate, traceable, and usable within a web-based decision-support environment. The ideal candidate combines strong engineering skills with an understanding of data quality, metrics, and user workflows. Key Responsibilities: Design and implement data pipelines to ingest, transform, and prepare data for quality validation and analysis. Develop logic to assess data integrity, completeness, and correctness across datasets. Build and support a web-based application using Dash and Mantine components to enable users to explore and validate data. Implement data validation rules, anomaly detection checks, and quality metrics. Translate business and analytical requirements into structured data models, fields, and transformations. Develop features that allow users to filter, review, and take action on flagged data issues. Ensure traceability of data through transformation steps, supporting auditability and reproducibility. Collaborate with stakeholders to understand workflows and design intuitive data review experiences. Optimize performance of queries and backend processes supporting the application. Support deployment and integration of application components within cloud environments. Contribute to documentation of data logic, validation rules, and system behavior. Required Qualifications: 2-4+ years of experience in data engineering, analytics engineering, or similar roles. Strong proficiency in Python and SQL for data transformation and analysis. Experience building data-driven applications (e.g., Dash or similar frameworks). Familiarity with data quality concepts such as validation, completeness, and anomaly detection. Understanding of data modeling and structuring datasets for analytics use cases. Ability to translate analytical needs into technical implementations. Experience working in Agile environments and collaborating with cross-functional teams. Preferred Qualifications: Experience with Dash Mantine Components or similar UI libraries. Familiarity with cloud platforms (AWS or similar). Experience with data lineage, traceability, or audit frameworks. Experience supporting decision-support tools or operational analytics applications. What BLN24 brings to the Game: BLN24 benefits are game changing. We like our team to play hard and that means they need to be taken care of - physically, financially, and emotionally. We make sure to keep them in the game by giving them access to generous medical, dental, and vision plans. You can join one of the fastest growing companies headquartered in the Washington DC Metro Area. We give you the opportunity to work in different sectors, so you have the chance at variety while maintaining stability. Flexibility at BLN24 allows each individual the opportunity to balance quality work and their personal lives. Depending on projects, we allow remote working opportunities so you can always be in the game no matter where you call home. BLN24 is an Equal Opportunity Employer. We believe people are our strength and understand diverse talents are key to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. In accordance with applicable law, we make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as any mental health or physical disability needs. Powered by JazzHR HmMI6eucwI
Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
06/08/2026
Full time
Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
06/08/2026
Full time
Job DescriptionJob Description Data Platform Engineer (Python) - Senior - Palantir Foundry / Jupyter Platform Support Location: Washington D.C. (Remote Eligible) Level: Senior Clearance: Must be able to attain and maintain a minimum DoW Secret Clearance Candidates must have the above clearance level and, at a minimum, be able to maintain this clearance during their employment with Montcure. Montcure, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB) founded with a vision to revolutionize consulting and advisory services through innovative, data-driven solutions. The Montcure team recognizes the unique challenges faced by organizations and governments in today's rapidly evolving business environment. Job Summary The Senior Data Platform Engineer will support development and operation of a modern data environment supporting Navy financial management and audit artifact traceability initiatives. The role focuses on building and maintaining data pipelines, ingestion workflows, and transformation processes within Palantir Foundry and the Jupyter data platform environment. The engineer will work alongside ontology engineers and platforms lead to ingest, transform, and manage datasets that support artifact traceability, audit response reporting, and operational data applications. Key Responsibilities Data Pipeline Development: Develop and maintain Python-based data pipelines and transformation workflows within Palantir Foundry and the Jupyter platform. Build ingestion pipelines integrating financial management, logistics, property, and other enterprise datasets. Implement transformation logic to prepare raw datasets for curated data layers and ontology population. Data Platform Operations: Support dataset lifecycle management including refresh schedules, validation checks, and pipeline monitoring. Troubleshoot pipeline failures and assist in maintaining platform data reliability and stability. Maintain dataset lineage awareness and support platform data integrity practices. Data Integration and Support: Assist with integrating enterprise system data into the platform environment. Collaborate with ontology engineers to ensure pipelines populate ontology objects and platform data structures correctly. Document pipelines and transformation logic to support maintainability of the platform. Required Qualifications Education: Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical field (or equivalent experience). Experience: 4-7 years experience in data engineering or platform engineering roles. Experience developing Python-based data pipelines Experience building ETL/ELT pipelines and data transformation workflows Experience working with enterprise data platforms such as Palantir Foundry, Databricks, AWS data platforms, or similar distributed data environments Experience integrating datasets from enterprise systems (ERP, financial systems, logistics systems, etc.) preferred Skills: Strong Python development skills for data processing and pipeline development Experience with SQL and data transformation frameworks Familiarity with distributed data platforms and large-scale data environments Strong troubleshooting and problem-solving skills in data pipeline operations Ability to collaborate with platform engineers, ontology engineers, and functional stakeholders Status: Contingency - This work is contingent upon award. Salary Range: $90-$115k per year Montcure, LLC is an Equal Opportunity Employer. Montcure, LLC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.
Job DescriptionJob Description Data Engineer / Analytics Programmer (Healthcare Data) Contract US Citizen Remote Contract (1 year+) 100% Remote Due to our government client requirements, we can only consider US Citizens for this position. Will need to be able to obtain and maintain a Public Trust Clearance. NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED. Description We're supporting our client on a CMS-focused healthcare analytics program and are seeking a hands-on Data Engineer/Analytics Programmer to join their Ad Hoc Analytics team. This role is ideal for someone who enjoys working with new, complex datasets and building analytic solutions from the ground up. Responsibilities Use Python and SQL to process and analyze complex healthcare data Work with new and evolving data sources and turn them into analytic datasets Perform data transformation and linking across multiple sources Develop visualizations and analytic outputs Support ad hoc data requests in a collaborative, fast-paced environment Requirements Strong Python + SQL GitHub Experience with complex data (healthcare claims experience; Medicaid experience highly desired) Desired Enterprise-CMCS GitHub Databricks (Specifically DataConnect Databricks) BI tools (QuickSight or other BI tools for developing visualizations) Jira and Confluence An understanding of data ingestion and data processing, data linking, and software application lifecycle Familiarity with Agile development and work management. Please Note: Only those individuals selected for an interview will be contacted. No calls, inquiries, or Third-Party Vendors please. We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. (The ACI Group is unable to sponsor H1B Visas). $1000 Referral Bonus - . Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.
06/08/2026
Full time
Job DescriptionJob Description Data Engineer / Analytics Programmer (Healthcare Data) Contract US Citizen Remote Contract (1 year+) 100% Remote Due to our government client requirements, we can only consider US Citizens for this position. Will need to be able to obtain and maintain a Public Trust Clearance. NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED. Description We're supporting our client on a CMS-focused healthcare analytics program and are seeking a hands-on Data Engineer/Analytics Programmer to join their Ad Hoc Analytics team. This role is ideal for someone who enjoys working with new, complex datasets and building analytic solutions from the ground up. Responsibilities Use Python and SQL to process and analyze complex healthcare data Work with new and evolving data sources and turn them into analytic datasets Perform data transformation and linking across multiple sources Develop visualizations and analytic outputs Support ad hoc data requests in a collaborative, fast-paced environment Requirements Strong Python + SQL GitHub Experience with complex data (healthcare claims experience; Medicaid experience highly desired) Desired Enterprise-CMCS GitHub Databricks (Specifically DataConnect Databricks) BI tools (QuickSight or other BI tools for developing visualizations) Jira and Confluence An understanding of data ingestion and data processing, data linking, and software application lifecycle Familiarity with Agile development and work management. Please Note: Only those individuals selected for an interview will be contacted. No calls, inquiries, or Third-Party Vendors please. We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. (The ACI Group is unable to sponsor H1B Visas). $1000 Referral Bonus - . Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.
Job DescriptionJob Description Are you a Senior Database Administrator / Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then being dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission-focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Senior Database Administrator / Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Description: You will with support large scale or enterprise level database services. Duties: Practice/Technical Director provides technology and industry leadership on large and/or more complex IT engagements. Technical Director leads enterprise wide solution engagements for high quality, integrated solutions within constraints of time and budget. Develops an integrated and robust solution based on customer needs combining GOTS, COTS, IaaS, PaaS, SaaS, and third party components. Provides subject matter experience to assist customer through difficult business decisions. Designs, configures and implements all aspects of the full stack architecture delivering innovative solutions by combining Oracle best practices, knowledge in IT product offerings, and business acumen. Recommends enhancements to meet complex customer needs. Key Requirements: To be considered for this position you must have the following: Possess an active or rein-statable TS/SCI with Polygraph security clearance. U.S. Citizenship. 10 + years experience administering to, and engineering solutions with Oracle's database (10 - current). Extensive experience with database design and modeling; as well as, the collection and interpretation of customer requirements relevant to database migration, troubleshooting, performance observation and tuning. Significant experience with the production and deployment of RAC, RMAN backup & recovery. Experience with Oracle Exadata, DB security, Data Guard and / or DB Vault, Oracle Enterprise Manager Cloud Control, label security, and data migration. BS in CS or related course of study, or equivalent year's experience. Must be an independent worker with strong communications skills. Location: Annapolis Junction, MD Salary Range: The salary range for this full-time position is $170,000 to $260,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: Medical, Dental, and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR gIHcXRRtTk
06/08/2026
Full time
Job DescriptionJob Description Are you a Senior Database Administrator / Engineer who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then being dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission-focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Senior Database Administrator / Engineer on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Description: You will with support large scale or enterprise level database services. Duties: Practice/Technical Director provides technology and industry leadership on large and/or more complex IT engagements. Technical Director leads enterprise wide solution engagements for high quality, integrated solutions within constraints of time and budget. Develops an integrated and robust solution based on customer needs combining GOTS, COTS, IaaS, PaaS, SaaS, and third party components. Provides subject matter experience to assist customer through difficult business decisions. Designs, configures and implements all aspects of the full stack architecture delivering innovative solutions by combining Oracle best practices, knowledge in IT product offerings, and business acumen. Recommends enhancements to meet complex customer needs. Key Requirements: To be considered for this position you must have the following: Possess an active or rein-statable TS/SCI with Polygraph security clearance. U.S. Citizenship. 10 + years experience administering to, and engineering solutions with Oracle's database (10 - current). Extensive experience with database design and modeling; as well as, the collection and interpretation of customer requirements relevant to database migration, troubleshooting, performance observation and tuning. Significant experience with the production and deployment of RAC, RMAN backup & recovery. Experience with Oracle Exadata, DB security, Data Guard and / or DB Vault, Oracle Enterprise Manager Cloud Control, label security, and data migration. BS in CS or related course of study, or equivalent year's experience. Must be an independent worker with strong communications skills. Location: Annapolis Junction, MD Salary Range: The salary range for this full-time position is $170,000 to $260,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: Medical, Dental, and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR gIHcXRRtTk
Job DescriptionJob Description Data Engineer / Analytics Programmer (Healthcare Data) Contract US Citizen Remote Contract (1 year+) 100% Remote Due to our government client requirements, we can only consider US Citizens for this position. Will need to be able to obtain and maintain a Public Trust Clearance. NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED. Description We're supporting our client on a CMS-focused healthcare analytics program and are seeking a hands-on Data Engineer/Analytics Programmer to join their Ad Hoc Analytics team. This role is ideal for someone who enjoys working with new, complex datasets and building analytic solutions from the ground up. Responsibilities Use Python and SQL to process and analyze complex healthcare data Work with new and evolving data sources and turn them into analytic datasets Perform data transformation and linking across multiple sources Develop visualizations and analytic outputs Support ad hoc data requests in a collaborative, fast-paced environment Requirements Strong Python + SQL GitHub Experience with complex data (healthcare claims experience; Medicaid experience highly desired) Desired Enterprise-CMCS GitHub Databricks (Specifically DataConnect Databricks) BI tools (QuickSight or other BI tools for developing visualizations) Jira and Confluence An understanding of data ingestion and data processing, data linking, and software application lifecycle Familiarity with Agile development and work management. Please Note: Only those individuals selected for an interview will be contacted. No calls, inquiries, or Third-Party Vendors please. We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. (The ACI Group is unable to sponsor H1B Visas). $1000 Referral Bonus - . Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.
06/08/2026
Full time
Job DescriptionJob Description Data Engineer / Analytics Programmer (Healthcare Data) Contract US Citizen Remote Contract (1 year+) 100% Remote Due to our government client requirements, we can only consider US Citizens for this position. Will need to be able to obtain and maintain a Public Trust Clearance. NO THIRD PARTY RECRUITERS PLEASE! CANDIDATES MUST BE SELF-REPRESENTED. Description We're supporting our client on a CMS-focused healthcare analytics program and are seeking a hands-on Data Engineer/Analytics Programmer to join their Ad Hoc Analytics team. This role is ideal for someone who enjoys working with new, complex datasets and building analytic solutions from the ground up. Responsibilities Use Python and SQL to process and analyze complex healthcare data Work with new and evolving data sources and turn them into analytic datasets Perform data transformation and linking across multiple sources Develop visualizations and analytic outputs Support ad hoc data requests in a collaborative, fast-paced environment Requirements Strong Python + SQL GitHub Experience with complex data (healthcare claims experience; Medicaid experience highly desired) Desired Enterprise-CMCS GitHub Databricks (Specifically DataConnect Databricks) BI tools (QuickSight or other BI tools for developing visualizations) Jira and Confluence An understanding of data ingestion and data processing, data linking, and software application lifecycle Familiarity with Agile development and work management. Please Note: Only those individuals selected for an interview will be contacted. No calls, inquiries, or Third-Party Vendors please. We are an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences. (The ACI Group is unable to sponsor H1B Visas). $1000 Referral Bonus - . Since 1988, The ACI Group, a Baltimore-based staffing firm, has been committed to hiring the industry's leading professionals, and presenting exciting career opportunities. We have access to varied types of contract, permanent and contract-to-perm positions and offer a choice of employment options including a full benefits package.
Job DescriptionJob Description This is a remote position. Job Title: Senior Data Engineer Location: Remote Duration: Full-Time NEED IRS MBI Clearance. Lead data migration analyst and data migration efforts. They shall oversee the preparation of complex data queries; Extraction, Transformation, and Load (ETL), data cleansing; prepare complex data analysis including trends, links, patterns, and an anomaly analysis. This role requires strategic planning, leadership, and collaboration with different teams to seamlessly transition data between new and legacy systems. This role involves providing technical guidance and expertise in developing and optimizing the outcome of transitioning data sets within project timelines as required by the government. Responsibilities: •Provide data migration planning, strategy, assessment and analysis support to IT AD and delivery partners •Provide data migration testing and validation support designing and executing comprehensive testing strategies •Provide data migration execution and support to IT AD, business partners, stakeholder management, security and compliance support to IT AD and delivery partners •Provide continuous improvement of data migration activities to IT AD and business partners •Optimize data migration activities to resolve performance concerns •Identify areas for business process improvement and reengineering which will alter the data set and impact data migration Skill Requirements: 10+ years of experience in data engineering, and data architecture •Expert knowledge in Informatica and RDBMS Familiarity with AWS, Java and Pega, Salesforce, MuleSoft •Certified in a RDBMS technology such as Oracle, PostgreSQL, or MS SQL required •Strong understanding of software development processes, standards and best practices •Proven experience in IT management roles, preferably as a contractor •Proven experience with complex and nested SQL queries as well as strong statistics and technical writing skills •Ability to work within contract deadlines and deliverables •A Bachelor of Science (BS) in computer science (CS) field is preferred
06/08/2026
Full time
Job DescriptionJob Description This is a remote position. Job Title: Senior Data Engineer Location: Remote Duration: Full-Time NEED IRS MBI Clearance. Lead data migration analyst and data migration efforts. They shall oversee the preparation of complex data queries; Extraction, Transformation, and Load (ETL), data cleansing; prepare complex data analysis including trends, links, patterns, and an anomaly analysis. This role requires strategic planning, leadership, and collaboration with different teams to seamlessly transition data between new and legacy systems. This role involves providing technical guidance and expertise in developing and optimizing the outcome of transitioning data sets within project timelines as required by the government. Responsibilities: •Provide data migration planning, strategy, assessment and analysis support to IT AD and delivery partners •Provide data migration testing and validation support designing and executing comprehensive testing strategies •Provide data migration execution and support to IT AD, business partners, stakeholder management, security and compliance support to IT AD and delivery partners •Provide continuous improvement of data migration activities to IT AD and business partners •Optimize data migration activities to resolve performance concerns •Identify areas for business process improvement and reengineering which will alter the data set and impact data migration Skill Requirements: 10+ years of experience in data engineering, and data architecture •Expert knowledge in Informatica and RDBMS Familiarity with AWS, Java and Pega, Salesforce, MuleSoft •Certified in a RDBMS technology such as Oracle, PostgreSQL, or MS SQL required •Strong understanding of software development processes, standards and best practices •Proven experience in IT management roles, preferably as a contractor •Proven experience with complex and nested SQL queries as well as strong statistics and technical writing skills •Ability to work within contract deadlines and deliverables •A Bachelor of Science (BS) in computer science (CS) field is preferred
Job DescriptionJob Description This is a remote position. Job Title: Senior Data Engineer Location: Remote Duration: Full-Time NEED IRS MBI Clearance. Lead data migration analyst and data migration efforts. They shall oversee the preparation of complex data queries; Extraction, Transformation, and Load (ETL), data cleansing; prepare complex data analysis including trends, links, patterns, and an anomaly analysis. This role requires strategic planning, leadership, and collaboration with different teams to seamlessly transition data between new and legacy systems. This role involves providing technical guidance and expertise in developing and optimizing the outcome of transitioning data sets within project timelines as required by the government. Responsibilities: •Provide data migration planning, strategy, assessment and analysis support to IT AD and delivery partners •Provide data migration testing and validation support designing and executing comprehensive testing strategies •Provide data migration execution and support to IT AD, business partners, stakeholder management, security and compliance support to IT AD and delivery partners •Provide continuous improvement of data migration activities to IT AD and business partners •Optimize data migration activities to resolve performance concerns •Identify areas for business process improvement and reengineering which will alter the data set and impact data migration Skill Requirements: 10+ years of experience in data engineering, and data architecture •Expert knowledge in Informatica and RDBMS Familiarity with AWS, Java and Pega, Salesforce, MuleSoft •Certified in a RDBMS technology such as Oracle, PostgreSQL, or MS SQL required •Strong understanding of software development processes, standards and best practices •Proven experience in IT management roles, preferably as a contractor •Proven experience with complex and nested SQL queries as well as strong statistics and technical writing skills •Ability to work within contract deadlines and deliverables •A Bachelor of Science (BS) in computer science (CS) field is preferred
06/08/2026
Full time
Job DescriptionJob Description This is a remote position. Job Title: Senior Data Engineer Location: Remote Duration: Full-Time NEED IRS MBI Clearance. Lead data migration analyst and data migration efforts. They shall oversee the preparation of complex data queries; Extraction, Transformation, and Load (ETL), data cleansing; prepare complex data analysis including trends, links, patterns, and an anomaly analysis. This role requires strategic planning, leadership, and collaboration with different teams to seamlessly transition data between new and legacy systems. This role involves providing technical guidance and expertise in developing and optimizing the outcome of transitioning data sets within project timelines as required by the government. Responsibilities: •Provide data migration planning, strategy, assessment and analysis support to IT AD and delivery partners •Provide data migration testing and validation support designing and executing comprehensive testing strategies •Provide data migration execution and support to IT AD, business partners, stakeholder management, security and compliance support to IT AD and delivery partners •Provide continuous improvement of data migration activities to IT AD and business partners •Optimize data migration activities to resolve performance concerns •Identify areas for business process improvement and reengineering which will alter the data set and impact data migration Skill Requirements: 10+ years of experience in data engineering, and data architecture •Expert knowledge in Informatica and RDBMS Familiarity with AWS, Java and Pega, Salesforce, MuleSoft •Certified in a RDBMS technology such as Oracle, PostgreSQL, or MS SQL required •Strong understanding of software development processes, standards and best practices •Proven experience in IT management roles, preferably as a contractor •Proven experience with complex and nested SQL queries as well as strong statistics and technical writing skills •Ability to work within contract deadlines and deliverables •A Bachelor of Science (BS) in computer science (CS) field is preferred
Job DescriptionJob DescriptionLentech is hiring a Senior Database Engineer Responsibilities: Provides technical expertise for database design, development, implementation, information storage and retrieval, data flow and analysis. Develops relational and/or Object-Oriented databases, database parser software, and database loading software. Projects long-range requirements for database administration and design. Responsible for developing a database structure that fits into the overallarchitecture of the system under development and has to make trades among data volumes, numberof users, logical and physical distribution, response times, retention rules, security and domain controls. The DBE works primarily at the front end of the lifecycle-requirements through system acceptance testing and Initial Operational Capability (IOC). Develops requirements from a projects inception to its conclusion for a particular business and Information Technology (IT) subject matter area (i.e., simple to complex systems). Assist with recommendations for, and analysis and evaluation of systems improvements, optimization, development, and/or maintenance efforts. Translates a set of requirements and data into a usable document by creating or recreating ad hoc queries, scripts, andmacros; updates existing queries, creates new ones to manipulate data into a master file; and builds complex systems using queries, tables, Open Database Connectivity and database storage and retrieval using Cloud methodologies. Required: Active and current TS.SCI w FSP through MD Ten (10) years of experience as a DBE Extensive experience with installation and patching associated with Oracle Database, Oracle Enterprise Manager, and Oracle Data Guard Linux OS, Linux Commands, Bash Scripting Education: Bachelors degree in a technical discipline from an accredited college or university is required. Five (5) years of DBE experience may be substituted for a bachelors degree. Information Assurance Technical (IAT) Level II is required (CCNA Security CySA+ GICSP GSEC Security+ CE CND SSCP) About Lentech, Inc. Lentech, Inc., provides technology-enabled IT Solutions and Mission Technical Solutions to civil, defense and intelligence customers. Through our accumulated years of experience, industry expertise, and strategic partnerships, Lentech has built mission-critical solutions for our federal and commercial customers. Lentech's clients achieve full life-cycle support and cost-effective managed services supporting enterprise computing and applications initiatives for Government agencies. Lentech's Mission Technical Solutions Division is focused on providing engineering, operations, I&T and technical services to civil and defense customers primarily in the aerospace fields. Lentech, Inc. is a performance-based company providing employees with challenging and interesting work, competitive pay and benefits, and opportunities to learn and grow. We focus on providing an environment of fun, sharing, collaboration and connection. Our culture is team oriented, non-hierarchical and entrepreneurial. It gives people a chance to participate and be a factor in the company's growth and success. Lentech, Inc. is an Equal Employment Opportunity (EEO) employer and considers all qualified applicants for employment without regard to race, color, religion, gender identification, national origin, sexual orientation, age, marital status, disability, protected veteran status, or any other factor prohibited by applicable law. We are proud of the diversity of our staff and seek diversity in our applicants.Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our team members value the flexibility at Lentech that allows them to balance quality work and their personal lives. The range shown below is the national average for the position. The proposed salary range for this position is: $160,000 -$190,000 Powered by JazzHR k8k1lnPczs
06/08/2026
Full time
Job DescriptionJob DescriptionLentech is hiring a Senior Database Engineer Responsibilities: Provides technical expertise for database design, development, implementation, information storage and retrieval, data flow and analysis. Develops relational and/or Object-Oriented databases, database parser software, and database loading software. Projects long-range requirements for database administration and design. Responsible for developing a database structure that fits into the overallarchitecture of the system under development and has to make trades among data volumes, numberof users, logical and physical distribution, response times, retention rules, security and domain controls. The DBE works primarily at the front end of the lifecycle-requirements through system acceptance testing and Initial Operational Capability (IOC). Develops requirements from a projects inception to its conclusion for a particular business and Information Technology (IT) subject matter area (i.e., simple to complex systems). Assist with recommendations for, and analysis and evaluation of systems improvements, optimization, development, and/or maintenance efforts. Translates a set of requirements and data into a usable document by creating or recreating ad hoc queries, scripts, andmacros; updates existing queries, creates new ones to manipulate data into a master file; and builds complex systems using queries, tables, Open Database Connectivity and database storage and retrieval using Cloud methodologies. Required: Active and current TS.SCI w FSP through MD Ten (10) years of experience as a DBE Extensive experience with installation and patching associated with Oracle Database, Oracle Enterprise Manager, and Oracle Data Guard Linux OS, Linux Commands, Bash Scripting Education: Bachelors degree in a technical discipline from an accredited college or university is required. Five (5) years of DBE experience may be substituted for a bachelors degree. Information Assurance Technical (IAT) Level II is required (CCNA Security CySA+ GICSP GSEC Security+ CE CND SSCP) About Lentech, Inc. Lentech, Inc., provides technology-enabled IT Solutions and Mission Technical Solutions to civil, defense and intelligence customers. Through our accumulated years of experience, industry expertise, and strategic partnerships, Lentech has built mission-critical solutions for our federal and commercial customers. Lentech's clients achieve full life-cycle support and cost-effective managed services supporting enterprise computing and applications initiatives for Government agencies. Lentech's Mission Technical Solutions Division is focused on providing engineering, operations, I&T and technical services to civil and defense customers primarily in the aerospace fields. Lentech, Inc. is a performance-based company providing employees with challenging and interesting work, competitive pay and benefits, and opportunities to learn and grow. We focus on providing an environment of fun, sharing, collaboration and connection. Our culture is team oriented, non-hierarchical and entrepreneurial. It gives people a chance to participate and be a factor in the company's growth and success. Lentech, Inc. is an Equal Employment Opportunity (EEO) employer and considers all qualified applicants for employment without regard to race, color, religion, gender identification, national origin, sexual orientation, age, marital status, disability, protected veteran status, or any other factor prohibited by applicable law. We are proud of the diversity of our staff and seek diversity in our applicants.Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our team members value the flexibility at Lentech that allows them to balance quality work and their personal lives. The range shown below is the national average for the position. The proposed salary range for this position is: $160,000 -$190,000 Powered by JazzHR k8k1lnPczs
Job DescriptionJob Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you a Data Scientist who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission-focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Data Scientist on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Requirements: To be considered for this position you must have the following: Possess an active or rein-statable TS/SCI with Polygraph security clearance. (This position requires in-scope poly, within 7 years). U.S. Citizenship. 5+ years of experience and a Bachelor's Degree in Computer Science or a related discipline. Possess software development skills Work well independently as well as on a team. Strong communication skills. Key Skills: Programming Languages: Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization. Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential. Machine Learning: Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes. Data Wrangling: The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis. Database Management: Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases. Data Visualization: Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders. Location: Annapolis Junction, Maryland (Partial Telework of 16 hours per week is expected) Note: Telework granted for this position does not become available until after the individual has been in the position for a period of time, has acclimated to tasking/duties, and has meaningful work that can be done remotely. Telework can also be removed at any time. Salary Range: The salary range for this full-time position is $115,000 to $190,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: Medical, Dental, and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR vIOKg0D9UW
06/08/2026
Full time
Job DescriptionJob Description An active or rein-statable TS/SCI with Polygraph security clearance is REQUIRED. Please do not apply if you currently do not possess this level of clearance. Are you a Data Scientist who is ready for a new challenge that will launch your career to the next level? Tired of being treated like a company drone? Tired of promised adventures during the hiring phase, then dropped off on a remote contract and never seen or heard from the mothership again? Our engineers were certainly tired of the same. At GliaCell our slogan is "We make It happen". We will immerse you in the latest technologies. We will develop and support your own personalized training program to continue your individual growth. We will provide you with work that matters with our mission-focused customers, and surround you with a family of brilliant engineers. Culture isn't something you need to talk about if it just exists. If this sounds interesting to you, then we'd like to have a discussion regarding your next adventure! If you want to be a drone, this isn't the place for you. We Make It Happen! GliaCell Technologies focuses on Software & System Engineering in Enterprise and Cyber Security solution spaces. We excel at delivering stable and reliable software solutions using Agile Software Development principles. These provide us the capability to deliver a quick turn-around using interactive applications and the integration of industry standard software stacks. GliaCell's Enterprise capabilities include Full-Stack Application Development, Big Data, Cloud Technologies, Analytics, Machine Learning, AI, and DevOps Containerization. We also provide customer solutions in the areas of CND, CNE, and CNO by providing our customers with assessments and solutions in Threat Mitigation, Vulnerability Exposure, Penetration Testing, Threat Hunting, and Preventing Advanced Persistent Threat. We Offer: Long term job security Competitive salaries & bonus opportunities Challenging work you are passionate about Ability to work with some amazingly talented people Job Description: GliaCell is seeking a Data Scientist on one of our subcontracts. This is a full-time position offering the opportunity to support a U.S. Government customer. The mission is to provide technical expertise that assists in sustaining critical mission-related software and systems to a large government contract. Key Requirements: To be considered for this position you must have the following: Possess an active or rein-statable TS/SCI with Polygraph security clearance. (This position requires in-scope poly, within 7 years). U.S. Citizenship. 5+ years of experience and a Bachelor's Degree in Computer Science or a related discipline. Possess software development skills Work well independently as well as on a team. Strong communication skills. Key Skills: Programming Languages: Proficiency in programming languages such as Python and R is crucial for data manipulation, analysis, and implementing algorithms. Python is favored for its simplicity and extensive libraries (like NumPy and pandas), while R is preferred for statistical analysis and data visualization. Statistical Analysis: A strong foundation in statistics and probability is necessary for analyzing data accurately and making informed decisions. Understanding concepts like regression analysis, hypothesis testing, and statistical distributions is essential. Machine Learning: Knowledge of machine learning algorithms and frameworks (such as TensorFlow and Scikit-Learn) is vital for building predictive models and automating decision-making processes. Data Wrangling: The ability to clean and organize complex datasets is critical. Data wrangling involves transforming raw data into a usable format, which is often time-consuming but necessary for effective analysis. Database Management: Familiarity with SQL and database management systems (like PostgreSQL and MongoDB) is essential for extracting and manipulating data stored in relational databases. Data Visualization: Skills in data visualization tools (such as Tableau and Matplotlib) help communicate findings effectively. Creating charts, graphs, and dashboards is crucial for making data understandable to stakeholders. Location: Annapolis Junction, Maryland (Partial Telework of 16 hours per week is expected) Note: Telework granted for this position does not become available until after the individual has been in the position for a period of time, has acclimated to tasking/duties, and has meaningful work that can be done remotely. Telework can also be removed at any time. Salary Range: The salary range for this full-time position is $115,000 to $190,000. Our salary ranges are determined by position, level, skills, professional experience, relevant education and certifications. The range displayed on each job posting reflects the minimum and maximum target salaries for this position across our projects. Within the range, your salary is determined by your individual benefits package selection. Your recruiter can share more about the specific salary range for your preferred position during the hiring process. Benefits: Medical, Dental, and Vision Coverage for Employee and Dependents Up to 25 Days of Paid Time Off Up to 40 hours of PTO Carryover 11 Federal Government Holidays Work From Home Opportunities 401K Company Contribution, Fully Vested Day 1 Discretionary, Certification, and Sign-On Bonus Potential Employee Referral Bonus Program Annual Professional Development 100% Premium Covered for Life & Disability Insurances Additional Voluntary Life Insurance Coverage Available Employee Assistance Program Travel Protection Program Financial Planning Assistance Bereavement and Jury Duty Leave Monthly Team and Family Events Technology Budget Global Entry Annual Swag Budget Learn more about GliaCell Technologies: To apply for this position, respond to this job posting and attach an updated resume for us to review. GliaCell Technologies, LLC is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Powered by JazzHR vIOKg0D9UW
Job DescriptionJob Description ️ RECRUITMENT FRAUD ALERT: Please be aware that fraudulent job offers are being sent from . This domain is NOT affiliated with HelioCampus. All legitimate communication will come exclusively from @. Who We Are: HelioCampus was founded with the purpose of helping college & university leaders navigate today's growing pressures. As one of EdTech's most steadily growing companies, our roots in higher ed ground us in the critical nature of this work. What We Do: We help our clients navigate today's high stakes with data and Institutional Performance Management practices. Together with our clients, we chart a path to sustainability by borrowing practices from the most successful businesses. How We Do It: We approach our work with a "we're on it" attitude that the higher ed community has come to know and expect from our team. We're data geeks to our core, committed to simplifying the toughest challenges and operating with transparency. Our most successful team members are change agents who love a challenge. How You'll Help: As a Data Engineer II, you will be a key architect in building and maintaining our specialized higher education data warehouse. You will ensure that institutional data is reliable, high-performing, and delivered in a timely manner, directly enabling university leaders to make informed, strategic decisions. What You Will Do: Develop: Design, build, and deploy robust ETL/ELT solutions using SQL and Python. Test & Deploy: Perform comprehensive unit testing and participate in code reviews to ensure data integrity and system reliability. Analyze: Monitor and evaluate pipeline performance trends to proactively prevent bottlenecks and system failures. Troubleshoot: Diagnose and resolve complex ETL issues in real-time, identifying root causes to prevent recurrence. Collaborate: Work closely with analysts and senior engineers to expand reporting models that meet evolving university goals. You Will Be a Good Fit For This Role If You Have: Previous experience in the Higher Education or EdTech sector. 3+ years of professional experience specifically in ETL/SQL development and data engineering. Expertise in SQL: Strong proficiency in developing complex queries, analyzing data, and managing system integrations. Data Architecture Knowledge: A solid understanding of data warehouse concepts, structures, and dimensional modeling. Coding Proficiency: Experience with at least one object-oriented programming language (Python, Java, etc.). An Analytical Mindset: The ability to think on your fly and approach technical challenges with a solution-oriented focus. Autonomy: A drive to explore technical hurdles and find solutions with minimal supervision in a fast-paced environment. Nice To Have's Include: Experience with AWS tools (Redshift, S3, Glue) or other major Cloud Service Platforms. Exposure to NoSQL data transformation approaches. Proficiency in translating complex business requirements into technical SQL specifications. Projects You Will Work On: Higher Ed Data Warehouse Expansion: Scaling our core warehouse to accommodate new data sources and institutional partners. KPI Modeling: Refining and expanding reporting models to track student learning outcomes and financial sustainability. Pipeline Modernization: Optimizing existing ETL processes to leverage modern cloud-native features for faster processing. Location: HelioCampus has two locations, Bethesda, MD and Chapel Hill, NC. This specific role is primarily remote, with occasional travel to an office or client site. Compensation and Benefits: HelioCampus offers employees a competitive salary along with paid time off, healthcare, vision, dental, 401(k) w/ company match, parental leave, remote work flexibility, home office perks, and a fun, collaborative work environment. What Sets Us Apart: 1. Commitment to Higher Education: We believe that serving higher ed makes the world a better place. This drives our desire to deliver high-quality products and services to help higher education institutions serve their students and communities. 2. Flexibility to Fit Your Life: HelioCampus employees enjoy the autonomy, freedom, and trust of a remote-first working environment. We embrace an "on it" mentality both in and out of the workplace, and employees are supported in pursuing personal and professional passions. 3. A Community of Bright Minds with Big Hearts: HelioCampus hires curious and talented practitioners who bring a diversity of thought and genuine care for one another and our clients to work every day. Our team members are more than a job description and are encouraged to show up as their full and authentic selves. What We Believe: HelioCampus is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Disclaimer: The list of responsibilities described above is not comprehensive. Other tasks not mentioned here may be required. Changing business conditions may trigger changes to job responsibilities. This job description is not an employment contract. Physical Qualifications: This position requires the following physical qualifications to support a productive remote work environment. We are dedicated to providing reasonable accommodations for individuals with disabilities to perform the essential functions of this role. If you require accommodations, please discuss this during the application process. Vision: Sufficient visual acuity to read documents, view computer screens, and engage in tasks that require attention to detail. Hearing: Ability to communicate effectively in person (as applicable) and via phone or video conferencing, ensuring clear understanding of verbal instructions. Fine Motor Skills: Proficient use of hands for typing, using a mouse, and managing office equipment such as printers and scanners. Lifting: Occasional lifting of up to 10 pounds (e.g., office supplies or equipment).
06/08/2026
Full time
Job DescriptionJob Description ️ RECRUITMENT FRAUD ALERT: Please be aware that fraudulent job offers are being sent from . This domain is NOT affiliated with HelioCampus. All legitimate communication will come exclusively from @. Who We Are: HelioCampus was founded with the purpose of helping college & university leaders navigate today's growing pressures. As one of EdTech's most steadily growing companies, our roots in higher ed ground us in the critical nature of this work. What We Do: We help our clients navigate today's high stakes with data and Institutional Performance Management practices. Together with our clients, we chart a path to sustainability by borrowing practices from the most successful businesses. How We Do It: We approach our work with a "we're on it" attitude that the higher ed community has come to know and expect from our team. We're data geeks to our core, committed to simplifying the toughest challenges and operating with transparency. Our most successful team members are change agents who love a challenge. How You'll Help: As a Data Engineer II, you will be a key architect in building and maintaining our specialized higher education data warehouse. You will ensure that institutional data is reliable, high-performing, and delivered in a timely manner, directly enabling university leaders to make informed, strategic decisions. What You Will Do: Develop: Design, build, and deploy robust ETL/ELT solutions using SQL and Python. Test & Deploy: Perform comprehensive unit testing and participate in code reviews to ensure data integrity and system reliability. Analyze: Monitor and evaluate pipeline performance trends to proactively prevent bottlenecks and system failures. Troubleshoot: Diagnose and resolve complex ETL issues in real-time, identifying root causes to prevent recurrence. Collaborate: Work closely with analysts and senior engineers to expand reporting models that meet evolving university goals. You Will Be a Good Fit For This Role If You Have: Previous experience in the Higher Education or EdTech sector. 3+ years of professional experience specifically in ETL/SQL development and data engineering. Expertise in SQL: Strong proficiency in developing complex queries, analyzing data, and managing system integrations. Data Architecture Knowledge: A solid understanding of data warehouse concepts, structures, and dimensional modeling. Coding Proficiency: Experience with at least one object-oriented programming language (Python, Java, etc.). An Analytical Mindset: The ability to think on your fly and approach technical challenges with a solution-oriented focus. Autonomy: A drive to explore technical hurdles and find solutions with minimal supervision in a fast-paced environment. Nice To Have's Include: Experience with AWS tools (Redshift, S3, Glue) or other major Cloud Service Platforms. Exposure to NoSQL data transformation approaches. Proficiency in translating complex business requirements into technical SQL specifications. Projects You Will Work On: Higher Ed Data Warehouse Expansion: Scaling our core warehouse to accommodate new data sources and institutional partners. KPI Modeling: Refining and expanding reporting models to track student learning outcomes and financial sustainability. Pipeline Modernization: Optimizing existing ETL processes to leverage modern cloud-native features for faster processing. Location: HelioCampus has two locations, Bethesda, MD and Chapel Hill, NC. This specific role is primarily remote, with occasional travel to an office or client site. Compensation and Benefits: HelioCampus offers employees a competitive salary along with paid time off, healthcare, vision, dental, 401(k) w/ company match, parental leave, remote work flexibility, home office perks, and a fun, collaborative work environment. What Sets Us Apart: 1. Commitment to Higher Education: We believe that serving higher ed makes the world a better place. This drives our desire to deliver high-quality products and services to help higher education institutions serve their students and communities. 2. Flexibility to Fit Your Life: HelioCampus employees enjoy the autonomy, freedom, and trust of a remote-first working environment. We embrace an "on it" mentality both in and out of the workplace, and employees are supported in pursuing personal and professional passions. 3. A Community of Bright Minds with Big Hearts: HelioCampus hires curious and talented practitioners who bring a diversity of thought and genuine care for one another and our clients to work every day. Our team members are more than a job description and are encouraged to show up as their full and authentic selves. What We Believe: HelioCampus is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Disclaimer: The list of responsibilities described above is not comprehensive. Other tasks not mentioned here may be required. Changing business conditions may trigger changes to job responsibilities. This job description is not an employment contract. Physical Qualifications: This position requires the following physical qualifications to support a productive remote work environment. We are dedicated to providing reasonable accommodations for individuals with disabilities to perform the essential functions of this role. If you require accommodations, please discuss this during the application process. Vision: Sufficient visual acuity to read documents, view computer screens, and engage in tasks that require attention to detail. Hearing: Ability to communicate effectively in person (as applicable) and via phone or video conferencing, ensuring clear understanding of verbal instructions. Fine Motor Skills: Proficient use of hands for typing, using a mouse, and managing office equipment such as printers and scanners. Lifting: Occasional lifting of up to 10 pounds (e.g., office supplies or equipment).
Job DescriptionJob Description ️ RECRUITMENT FRAUD ALERT: Please be aware that fraudulent job offers are being sent from . This domain is NOT affiliated with HelioCampus. All legitimate communication will come exclusively from @. Who We Are: HelioCampus was founded with the purpose of helping college & university leaders navigate today's growing pressures. As one of EdTech's most steadily growing companies, our roots in higher ed ground us in the critical nature of this work. What We Do: We help our clients navigate today's high stakes with data and Institutional Performance Management practices. Together with our clients, we chart a path to sustainability by borrowing practices from the most successful businesses. How We Do It: We approach our work with a "we're on it" attitude that the higher ed community has come to know and expect from our team. We're data geeks to our core, committed to simplifying the toughest challenges and operating with transparency. Our most successful team members are change agents who love a challenge. How You'll Help: As a Data Engineer II, you will be a key architect in building and maintaining our specialized higher education data warehouse. You will ensure that institutional data is reliable, high-performing, and delivered in a timely manner, directly enabling university leaders to make informed, strategic decisions. What You Will Do: Develop: Design, build, and deploy robust ETL/ELT solutions using SQL and Python. Test & Deploy: Perform comprehensive unit testing and participate in code reviews to ensure data integrity and system reliability. Analyze: Monitor and evaluate pipeline performance trends to proactively prevent bottlenecks and system failures. Troubleshoot: Diagnose and resolve complex ETL issues in real-time, identifying root causes to prevent recurrence. Collaborate: Work closely with analysts and senior engineers to expand reporting models that meet evolving university goals. You Will Be a Good Fit For This Role If You Have: Previous experience in the Higher Education or EdTech sector. 3+ years of professional experience specifically in ETL/SQL development and data engineering. Expertise in SQL: Strong proficiency in developing complex queries, analyzing data, and managing system integrations. Data Architecture Knowledge: A solid understanding of data warehouse concepts, structures, and dimensional modeling. Coding Proficiency: Experience with at least one object-oriented programming language (Python, Java, etc.). An Analytical Mindset: The ability to think on your fly and approach technical challenges with a solution-oriented focus. Autonomy: A drive to explore technical hurdles and find solutions with minimal supervision in a fast-paced environment. Nice To Have's Include: Experience with AWS tools (Redshift, S3, Glue) or other major Cloud Service Platforms. Exposure to NoSQL data transformation approaches. Proficiency in translating complex business requirements into technical SQL specifications. Projects You Will Work On: Higher Ed Data Warehouse Expansion: Scaling our core warehouse to accommodate new data sources and institutional partners. KPI Modeling: Refining and expanding reporting models to track student learning outcomes and financial sustainability. Pipeline Modernization: Optimizing existing ETL processes to leverage modern cloud-native features for faster processing. Location: HelioCampus has two locations, Bethesda, MD and Chapel Hill, NC. This specific role is primarily remote, with occasional travel to an office or client site. Compensation and Benefits: HelioCampus offers employees a competitive salary along with paid time off, healthcare, vision, dental, 401(k) w/ company match, parental leave, remote work flexibility, home office perks, and a fun, collaborative work environment. What Sets Us Apart: 1. Commitment to Higher Education: We believe that serving higher ed makes the world a better place. This drives our desire to deliver high-quality products and services to help higher education institutions serve their students and communities. 2. Flexibility to Fit Your Life: HelioCampus employees enjoy the autonomy, freedom, and trust of a remote-first working environment. We embrace an "on it" mentality both in and out of the workplace, and employees are supported in pursuing personal and professional passions. 3. A Community of Bright Minds with Big Hearts: HelioCampus hires curious and talented practitioners who bring a diversity of thought and genuine care for one another and our clients to work every day. Our team members are more than a job description and are encouraged to show up as their full and authentic selves. What We Believe: HelioCampus is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Disclaimer: The list of responsibilities described above is not comprehensive. Other tasks not mentioned here may be required. Changing business conditions may trigger changes to job responsibilities. This job description is not an employment contract. Physical Qualifications: This position requires the following physical qualifications to support a productive remote work environment. We are dedicated to providing reasonable accommodations for individuals with disabilities to perform the essential functions of this role. If you require accommodations, please discuss this during the application process. Vision: Sufficient visual acuity to read documents, view computer screens, and engage in tasks that require attention to detail. Hearing: Ability to communicate effectively in person (as applicable) and via phone or video conferencing, ensuring clear understanding of verbal instructions. Fine Motor Skills: Proficient use of hands for typing, using a mouse, and managing office equipment such as printers and scanners. Lifting: Occasional lifting of up to 10 pounds (e.g., office supplies or equipment).
06/08/2026
Full time
Job DescriptionJob Description ️ RECRUITMENT FRAUD ALERT: Please be aware that fraudulent job offers are being sent from . This domain is NOT affiliated with HelioCampus. All legitimate communication will come exclusively from @. Who We Are: HelioCampus was founded with the purpose of helping college & university leaders navigate today's growing pressures. As one of EdTech's most steadily growing companies, our roots in higher ed ground us in the critical nature of this work. What We Do: We help our clients navigate today's high stakes with data and Institutional Performance Management practices. Together with our clients, we chart a path to sustainability by borrowing practices from the most successful businesses. How We Do It: We approach our work with a "we're on it" attitude that the higher ed community has come to know and expect from our team. We're data geeks to our core, committed to simplifying the toughest challenges and operating with transparency. Our most successful team members are change agents who love a challenge. How You'll Help: As a Data Engineer II, you will be a key architect in building and maintaining our specialized higher education data warehouse. You will ensure that institutional data is reliable, high-performing, and delivered in a timely manner, directly enabling university leaders to make informed, strategic decisions. What You Will Do: Develop: Design, build, and deploy robust ETL/ELT solutions using SQL and Python. Test & Deploy: Perform comprehensive unit testing and participate in code reviews to ensure data integrity and system reliability. Analyze: Monitor and evaluate pipeline performance trends to proactively prevent bottlenecks and system failures. Troubleshoot: Diagnose and resolve complex ETL issues in real-time, identifying root causes to prevent recurrence. Collaborate: Work closely with analysts and senior engineers to expand reporting models that meet evolving university goals. You Will Be a Good Fit For This Role If You Have: Previous experience in the Higher Education or EdTech sector. 3+ years of professional experience specifically in ETL/SQL development and data engineering. Expertise in SQL: Strong proficiency in developing complex queries, analyzing data, and managing system integrations. Data Architecture Knowledge: A solid understanding of data warehouse concepts, structures, and dimensional modeling. Coding Proficiency: Experience with at least one object-oriented programming language (Python, Java, etc.). An Analytical Mindset: The ability to think on your fly and approach technical challenges with a solution-oriented focus. Autonomy: A drive to explore technical hurdles and find solutions with minimal supervision in a fast-paced environment. Nice To Have's Include: Experience with AWS tools (Redshift, S3, Glue) or other major Cloud Service Platforms. Exposure to NoSQL data transformation approaches. Proficiency in translating complex business requirements into technical SQL specifications. Projects You Will Work On: Higher Ed Data Warehouse Expansion: Scaling our core warehouse to accommodate new data sources and institutional partners. KPI Modeling: Refining and expanding reporting models to track student learning outcomes and financial sustainability. Pipeline Modernization: Optimizing existing ETL processes to leverage modern cloud-native features for faster processing. Location: HelioCampus has two locations, Bethesda, MD and Chapel Hill, NC. This specific role is primarily remote, with occasional travel to an office or client site. Compensation and Benefits: HelioCampus offers employees a competitive salary along with paid time off, healthcare, vision, dental, 401(k) w/ company match, parental leave, remote work flexibility, home office perks, and a fun, collaborative work environment. What Sets Us Apart: 1. Commitment to Higher Education: We believe that serving higher ed makes the world a better place. This drives our desire to deliver high-quality products and services to help higher education institutions serve their students and communities. 2. Flexibility to Fit Your Life: HelioCampus employees enjoy the autonomy, freedom, and trust of a remote-first working environment. We embrace an "on it" mentality both in and out of the workplace, and employees are supported in pursuing personal and professional passions. 3. A Community of Bright Minds with Big Hearts: HelioCampus hires curious and talented practitioners who bring a diversity of thought and genuine care for one another and our clients to work every day. Our team members are more than a job description and are encouraged to show up as their full and authentic selves. What We Believe: HelioCampus is an equal opportunity employer, and all qualified candidates will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Disclaimer: The list of responsibilities described above is not comprehensive. Other tasks not mentioned here may be required. Changing business conditions may trigger changes to job responsibilities. This job description is not an employment contract. Physical Qualifications: This position requires the following physical qualifications to support a productive remote work environment. We are dedicated to providing reasonable accommodations for individuals with disabilities to perform the essential functions of this role. If you require accommodations, please discuss this during the application process. Vision: Sufficient visual acuity to read documents, view computer screens, and engage in tasks that require attention to detail. Hearing: Ability to communicate effectively in person (as applicable) and via phone or video conferencing, ensuring clear understanding of verbal instructions. Fine Motor Skills: Proficient use of hands for typing, using a mouse, and managing office equipment such as printers and scanners. Lifting: Occasional lifting of up to 10 pounds (e.g., office supplies or equipment).
Job DescriptionJob DescriptionDescription: NOTE: This opportunity is open to W2, 1099 or C2C (no third parties, please). The candidate MUST be authorized to work in the U.S. without sponsorship and able to complete/pass/hold at minimum a public trust investigation. This is a remote opportunity; candidate must be based in the U.S.; have resided in the US for at least 3 years in the past 5 years; ET time zone work schedule. Daily Responsibilities Play a critical role in ingesting, transforming, and managing data using AWS Cloud Services and Python Programming. Will work directly with senior data engineers o product owners to deliver data products in a collaborative and agile environment. Able to integrate code into a cloud production environment. Work with on-prem database and warehouse solutions such as Oracle or SQL Server or cloud based solutions. Collaborate on data engineering coding principles, standards, designs, frameworks, and chaos testing. Develop data engineering solutions using Python and/or Java. Seek to continuously develop deep AWS engineering skills that optimize code quality and performance. Build data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design and maintain data models within and implement data quality checks and validation processes to ensure data accuracy and integrity. Ensure data security and compliance with government regulations and industry standards. Optimize data pipelines and queries for efficient data processing and retrieval. Work closely with business analysts, data scientists, and other stakeholders to understand data requirements and deliver data solutions that meet business needs. Participate in Agile development sprints including design, development, unit testing and peer review. Prepare comprehensive documentation for data pipelines, data models, and data processes. Requirements: Must be authorized to work in the U.S. without sponsorship. Must have resided in the U.S. for at least 3 years within the past 5 years. Must complete/pass/hold at minimum a Public Trust background investigation. 7+ years of progressive professional experience. 5+ years of experience in data engineering, with a focus on data integration, data transformation, and data warehousing. 5+ years cloud development (AWS Cloud) for data processing including experience with ETL processes, including experience with AWS Glue, AWS Data Brew, NoSQL server, SQL Server query experience, AWS Informatica for Relational Database Service (RDS) and the cloud. 4+ years of data bricks experience. Experience in designing and developing Data Pipelines for Data Ingestion or Transformation using AWS technologies. Python programming experience. Experience with data cleansing, profiling, and domain-specific data quality assessment. Experience working in an Agile development environment, with an understanding of Agile principles and practices. Experience working in code repositories (i.e., GitHub) to support CI/CD. Excellent verbal and written communication skills for expressing technical software requirements and designs. Federal and/or healthcare industry experience is a PLUS. Bachelor's degree in computer science, Information Sciences, or related IT discipline. Additional related professional experience can be substituted for a bachelor's degree. Our Comprehensive Employee Benefits Package Includes: 401(k) Retirement Plan (Employer Match) Health Insurance Plans (Medical, Rx, Dental, and Vision - Open Access) Long Term and Short-Term Disability (Company Paid Benefit) Life Insurance (Company Paid Benefit) Employee Assistance Program (EAP) Generous Paid Time Off (PTO) Paid Holidays Voluntary Life and AD&D Insurance Discount Programs for Consumer Products and Wellness Services Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
06/08/2026
Full time
Job DescriptionJob DescriptionDescription: NOTE: This opportunity is open to W2, 1099 or C2C (no third parties, please). The candidate MUST be authorized to work in the U.S. without sponsorship and able to complete/pass/hold at minimum a public trust investigation. This is a remote opportunity; candidate must be based in the U.S.; have resided in the US for at least 3 years in the past 5 years; ET time zone work schedule. Daily Responsibilities Play a critical role in ingesting, transforming, and managing data using AWS Cloud Services and Python Programming. Will work directly with senior data engineers o product owners to deliver data products in a collaborative and agile environment. Able to integrate code into a cloud production environment. Work with on-prem database and warehouse solutions such as Oracle or SQL Server or cloud based solutions. Collaborate on data engineering coding principles, standards, designs, frameworks, and chaos testing. Develop data engineering solutions using Python and/or Java. Seek to continuously develop deep AWS engineering skills that optimize code quality and performance. Build data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design and maintain data models within and implement data quality checks and validation processes to ensure data accuracy and integrity. Ensure data security and compliance with government regulations and industry standards. Optimize data pipelines and queries for efficient data processing and retrieval. Work closely with business analysts, data scientists, and other stakeholders to understand data requirements and deliver data solutions that meet business needs. Participate in Agile development sprints including design, development, unit testing and peer review. Prepare comprehensive documentation for data pipelines, data models, and data processes. Requirements: Must be authorized to work in the U.S. without sponsorship. Must have resided in the U.S. for at least 3 years within the past 5 years. Must complete/pass/hold at minimum a Public Trust background investigation. 7+ years of progressive professional experience. 5+ years of experience in data engineering, with a focus on data integration, data transformation, and data warehousing. 5+ years cloud development (AWS Cloud) for data processing including experience with ETL processes, including experience with AWS Glue, AWS Data Brew, NoSQL server, SQL Server query experience, AWS Informatica for Relational Database Service (RDS) and the cloud. 4+ years of data bricks experience. Experience in designing and developing Data Pipelines for Data Ingestion or Transformation using AWS technologies. Python programming experience. Experience with data cleansing, profiling, and domain-specific data quality assessment. Experience working in an Agile development environment, with an understanding of Agile principles and practices. Experience working in code repositories (i.e., GitHub) to support CI/CD. Excellent verbal and written communication skills for expressing technical software requirements and designs. Federal and/or healthcare industry experience is a PLUS. Bachelor's degree in computer science, Information Sciences, or related IT discipline. Additional related professional experience can be substituted for a bachelor's degree. Our Comprehensive Employee Benefits Package Includes: 401(k) Retirement Plan (Employer Match) Health Insurance Plans (Medical, Rx, Dental, and Vision - Open Access) Long Term and Short-Term Disability (Company Paid Benefit) Life Insurance (Company Paid Benefit) Employee Assistance Program (EAP) Generous Paid Time Off (PTO) Paid Holidays Voluntary Life and AD&D Insurance Discount Programs for Consumer Products and Wellness Services Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
Job DescriptionJob DescriptionDescription: NOTE: This opportunity is open to W2, 1099 or C2C (no third parties, please). The candidate MUST be authorized to work in the U.S. without sponsorship and able to complete/pass/hold at minimum a public trust investigation. This is a remote opportunity; candidate must be based in the U.S.; have resided in the US for at least 3 years in the past 5 years; ET time zone work schedule. Daily Responsibilities Play a critical role in ingesting, transforming, and managing data using AWS Cloud Services and Python Programming. Will work directly with senior data engineers o product owners to deliver data products in a collaborative and agile environment. Able to integrate code into a cloud production environment. Work with on-prem database and warehouse solutions such as Oracle or SQL Server or cloud based solutions. Collaborate on data engineering coding principles, standards, designs, frameworks, and chaos testing. Develop data engineering solutions using Python and/or Java. Seek to continuously develop deep AWS engineering skills that optimize code quality and performance. Build data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design and maintain data models within and implement data quality checks and validation processes to ensure data accuracy and integrity. Ensure data security and compliance with government regulations and industry standards. Optimize data pipelines and queries for efficient data processing and retrieval. Work closely with business analysts, data scientists, and other stakeholders to understand data requirements and deliver data solutions that meet business needs. Participate in Agile development sprints including design, development, unit testing and peer review. Prepare comprehensive documentation for data pipelines, data models, and data processes. Requirements: Must be authorized to work in the U.S. without sponsorship. Must have resided in the U.S. for at least 3 years within the past 5 years. Must complete/pass/hold at minimum a Public Trust background investigation. 7+ years of progressive professional experience. 5+ years of experience in data engineering, with a focus on data integration, data transformation, and data warehousing. 5+ years cloud development (AWS Cloud) for data processing including experience with ETL processes, including experience with AWS Glue, AWS Data Brew, NoSQL server, SQL Server query experience, AWS Informatica for Relational Database Service (RDS) and the cloud. 4+ years of data bricks experience. Experience in designing and developing Data Pipelines for Data Ingestion or Transformation using AWS technologies. Python programming experience. Experience with data cleansing, profiling, and domain-specific data quality assessment. Experience working in an Agile development environment, with an understanding of Agile principles and practices. Experience working in code repositories (i.e., GitHub) to support CI/CD. Excellent verbal and written communication skills for expressing technical software requirements and designs. Federal and/or healthcare industry experience is a PLUS. Bachelor's degree in computer science, Information Sciences, or related IT discipline. Additional related professional experience can be substituted for a bachelor's degree. Our Comprehensive Employee Benefits Package Includes: 401(k) Retirement Plan (Employer Match) Health Insurance Plans (Medical, Rx, Dental, and Vision - Open Access) Long Term and Short-Term Disability (Company Paid Benefit) Life Insurance (Company Paid Benefit) Employee Assistance Program (EAP) Generous Paid Time Off (PTO) Paid Holidays Voluntary Life and AD&D Insurance Discount Programs for Consumer Products and Wellness Services Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
06/08/2026
Full time
Job DescriptionJob DescriptionDescription: NOTE: This opportunity is open to W2, 1099 or C2C (no third parties, please). The candidate MUST be authorized to work in the U.S. without sponsorship and able to complete/pass/hold at minimum a public trust investigation. This is a remote opportunity; candidate must be based in the U.S.; have resided in the US for at least 3 years in the past 5 years; ET time zone work schedule. Daily Responsibilities Play a critical role in ingesting, transforming, and managing data using AWS Cloud Services and Python Programming. Will work directly with senior data engineers o product owners to deliver data products in a collaborative and agile environment. Able to integrate code into a cloud production environment. Work with on-prem database and warehouse solutions such as Oracle or SQL Server or cloud based solutions. Collaborate on data engineering coding principles, standards, designs, frameworks, and chaos testing. Develop data engineering solutions using Python and/or Java. Seek to continuously develop deep AWS engineering skills that optimize code quality and performance. Build data pipelines and other custom automated solutions to speed the ingestion, analysis, and visualization of large volumes of data. Develop data transformation pipelines to clean, enrich, and structure the ingested data for storage in AWS Redshift platform services and storage services. Integrate data from disparate sources to enable seamless data access and analysis within the data management environment. Design and maintain data models within and implement data quality checks and validation processes to ensure data accuracy and integrity. Ensure data security and compliance with government regulations and industry standards. Optimize data pipelines and queries for efficient data processing and retrieval. Work closely with business analysts, data scientists, and other stakeholders to understand data requirements and deliver data solutions that meet business needs. Participate in Agile development sprints including design, development, unit testing and peer review. Prepare comprehensive documentation for data pipelines, data models, and data processes. Requirements: Must be authorized to work in the U.S. without sponsorship. Must have resided in the U.S. for at least 3 years within the past 5 years. Must complete/pass/hold at minimum a Public Trust background investigation. 7+ years of progressive professional experience. 5+ years of experience in data engineering, with a focus on data integration, data transformation, and data warehousing. 5+ years cloud development (AWS Cloud) for data processing including experience with ETL processes, including experience with AWS Glue, AWS Data Brew, NoSQL server, SQL Server query experience, AWS Informatica for Relational Database Service (RDS) and the cloud. 4+ years of data bricks experience. Experience in designing and developing Data Pipelines for Data Ingestion or Transformation using AWS technologies. Python programming experience. Experience with data cleansing, profiling, and domain-specific data quality assessment. Experience working in an Agile development environment, with an understanding of Agile principles and practices. Experience working in code repositories (i.e., GitHub) to support CI/CD. Excellent verbal and written communication skills for expressing technical software requirements and designs. Federal and/or healthcare industry experience is a PLUS. Bachelor's degree in computer science, Information Sciences, or related IT discipline. Additional related professional experience can be substituted for a bachelor's degree. Our Comprehensive Employee Benefits Package Includes: 401(k) Retirement Plan (Employer Match) Health Insurance Plans (Medical, Rx, Dental, and Vision - Open Access) Long Term and Short-Term Disability (Company Paid Benefit) Life Insurance (Company Paid Benefit) Employee Assistance Program (EAP) Generous Paid Time Off (PTO) Paid Holidays Voluntary Life and AD&D Insurance Discount Programs for Consumer Products and Wellness Services Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.
Job DescriptionJob Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Data Engineer - Cyber Risk & Security Data Platforms Location: Remote Terms: Full-time Clearance: Qualified candidates must be US citizens and have the ability to obtain and maintain a Public Trust is required Travel: 0% Project Description This position supports Revolutional's customer, the Department of Veterans Affairs (VA), as part of the Cybersecurity Transformation Program (CTP). The program is modernizing cybersecurity capabilities through data-driven platforms, cloud infrastructure, and integrated analytics pipelines. A key focus is enabling secure, scalable data infrastructure that supports cyber risk awareness, assessment, and response. The core challenge: building and maintaining reliable data pipelines and systems that support real-time security insights while ensuring data quality, integrity, and protection. Position Description As a Data Engineer at Revolutional, you will operate as a hands-on developer responsible for building, maintaining, and optimizing data pipelines and data services that support cybersecurity operations. This is an individual contributor role where you will be writing code, developing pipelines, integrating APIs, and troubleshooting data systems daily. You will work across cloud environments and security-focused data platforms to ensure data is accurate, reliable, and usable for downstream analytics and risk management. You are expected to go beyond basic data movement while owning data quality, pipeline reliability, and secure data handling in a production environment. Responsibilities Design, develop, and maintain ETL/ELT pipelines for secure data ingestion, transformation, and reporting Build and manage REST APIs and data ingestion services across systems Write production-grade code using Python and/or SQL to support data processing and automation Implement data validation, monitoring, and alerting to ensure data quality and reliability Identify and resolve schema changes, data inconsistencies, and pipeline failures Work with structured and unstructured data across multiple sources Leverage cloud platforms (AWS, Azure) for storage, compute, and data services Deploy and manage data workloads in containerized environments (Docker, Kubernetes) Support integration of data pipelines into broader DevSecOps and automation workflows Contribute to security-focused data initiatives, including data protection and risk analysis support Collaborate with engineering and security teams to support operational and analytical use cases Technical Environment Cloud platforms (AWS, Azure) Containerized environments (Docker, Kubernetes) ETL/ELT pipelines and orchestration frameworks REST APIs and data ingestion services Data validation, monitoring, and alerting tools Cybersecurity data platforms and analytics environments DevSecOps and automation-driven delivery pipelines What You Bring (Requirements) Baseline Requirements Bachelor's degree (or equivalent experience) 3-7+ years of experience in data engineering or related hands-on development roles Ability to obtain and maintain a Public Trust clearance U.S. citizenship required Technical Capabilities Strong programming skills in Python and/or SQL Experience building and maintaining ETL/ELT pipelines Experience developing and managing REST APIs and data ingestion processes Experience designing data models, schemas, and lifecycle management approaches Experience working with cloud platforms (AWS, Azure) Experience with containerization technologies (Docker, Kubernetes) Experience implementing data quality frameworks (validation, monitoring, alerting) Core Strengths Strong ownership mindset for pipeline reliability and data quality Hands-on problem solver who can debug and fix issues independently Ability to work in fast-moving environments with evolving requirements Strong attention to detail in data accuracy and validation Effective collaboration with engineering and security teams Nice to Have (Differentiators) Experience supporting Department of Veterans Affairs or similar federal programs Experience working with cybersecurity data or risk analytics platforms Exposure to AI/ML-enabled data workflows or automation use cases Experience with streaming or near real-time data pipelines Experience working in DevSecOps or Agile environments _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact .
06/08/2026
Full time
Job DescriptionJob Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Data Engineer - Cyber Risk & Security Data Platforms Location: Remote Terms: Full-time Clearance: Qualified candidates must be US citizens and have the ability to obtain and maintain a Public Trust is required Travel: 0% Project Description This position supports Revolutional's customer, the Department of Veterans Affairs (VA), as part of the Cybersecurity Transformation Program (CTP). The program is modernizing cybersecurity capabilities through data-driven platforms, cloud infrastructure, and integrated analytics pipelines. A key focus is enabling secure, scalable data infrastructure that supports cyber risk awareness, assessment, and response. The core challenge: building and maintaining reliable data pipelines and systems that support real-time security insights while ensuring data quality, integrity, and protection. Position Description As a Data Engineer at Revolutional, you will operate as a hands-on developer responsible for building, maintaining, and optimizing data pipelines and data services that support cybersecurity operations. This is an individual contributor role where you will be writing code, developing pipelines, integrating APIs, and troubleshooting data systems daily. You will work across cloud environments and security-focused data platforms to ensure data is accurate, reliable, and usable for downstream analytics and risk management. You are expected to go beyond basic data movement while owning data quality, pipeline reliability, and secure data handling in a production environment. Responsibilities Design, develop, and maintain ETL/ELT pipelines for secure data ingestion, transformation, and reporting Build and manage REST APIs and data ingestion services across systems Write production-grade code using Python and/or SQL to support data processing and automation Implement data validation, monitoring, and alerting to ensure data quality and reliability Identify and resolve schema changes, data inconsistencies, and pipeline failures Work with structured and unstructured data across multiple sources Leverage cloud platforms (AWS, Azure) for storage, compute, and data services Deploy and manage data workloads in containerized environments (Docker, Kubernetes) Support integration of data pipelines into broader DevSecOps and automation workflows Contribute to security-focused data initiatives, including data protection and risk analysis support Collaborate with engineering and security teams to support operational and analytical use cases Technical Environment Cloud platforms (AWS, Azure) Containerized environments (Docker, Kubernetes) ETL/ELT pipelines and orchestration frameworks REST APIs and data ingestion services Data validation, monitoring, and alerting tools Cybersecurity data platforms and analytics environments DevSecOps and automation-driven delivery pipelines What You Bring (Requirements) Baseline Requirements Bachelor's degree (or equivalent experience) 3-7+ years of experience in data engineering or related hands-on development roles Ability to obtain and maintain a Public Trust clearance U.S. citizenship required Technical Capabilities Strong programming skills in Python and/or SQL Experience building and maintaining ETL/ELT pipelines Experience developing and managing REST APIs and data ingestion processes Experience designing data models, schemas, and lifecycle management approaches Experience working with cloud platforms (AWS, Azure) Experience with containerization technologies (Docker, Kubernetes) Experience implementing data quality frameworks (validation, monitoring, alerting) Core Strengths Strong ownership mindset for pipeline reliability and data quality Hands-on problem solver who can debug and fix issues independently Ability to work in fast-moving environments with evolving requirements Strong attention to detail in data accuracy and validation Effective collaboration with engineering and security teams Nice to Have (Differentiators) Experience supporting Department of Veterans Affairs or similar federal programs Experience working with cybersecurity data or risk analytics platforms Exposure to AI/ML-enabled data workflows or automation use cases Experience with streaming or near real-time data pipelines Experience working in DevSecOps or Agile environments _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact .
Job DescriptionJob Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Data Engineer - Cyber Risk & Security Data Platforms Location: Remote Terms: Full-time Clearance: Qualified candidates must be US citizens and have the ability to obtain and maintain a Public Trust is required Travel: 0% Project Description This position supports Revolutional's customer, the Department of Veterans Affairs (VA), as part of the Cybersecurity Transformation Program (CTP). The program is modernizing cybersecurity capabilities through data-driven platforms, cloud infrastructure, and integrated analytics pipelines. A key focus is enabling secure, scalable data infrastructure that supports cyber risk awareness, assessment, and response. The core challenge: building and maintaining reliable data pipelines and systems that support real-time security insights while ensuring data quality, integrity, and protection. Position Description As a Data Engineer at Revolutional, you will operate as a hands-on developer responsible for building, maintaining, and optimizing data pipelines and data services that support cybersecurity operations. This is an individual contributor role where you will be writing code, developing pipelines, integrating APIs, and troubleshooting data systems daily. You will work across cloud environments and security-focused data platforms to ensure data is accurate, reliable, and usable for downstream analytics and risk management. You are expected to go beyond basic data movement while owning data quality, pipeline reliability, and secure data handling in a production environment. Responsibilities Design, develop, and maintain ETL/ELT pipelines for secure data ingestion, transformation, and reporting Build and manage REST APIs and data ingestion services across systems Write production-grade code using Python and/or SQL to support data processing and automation Implement data validation, monitoring, and alerting to ensure data quality and reliability Identify and resolve schema changes, data inconsistencies, and pipeline failures Work with structured and unstructured data across multiple sources Leverage cloud platforms (AWS, Azure) for storage, compute, and data services Deploy and manage data workloads in containerized environments (Docker, Kubernetes) Support integration of data pipelines into broader DevSecOps and automation workflows Contribute to security-focused data initiatives, including data protection and risk analysis support Collaborate with engineering and security teams to support operational and analytical use cases Technical Environment Cloud platforms (AWS, Azure) Containerized environments (Docker, Kubernetes) ETL/ELT pipelines and orchestration frameworks REST APIs and data ingestion services Data validation, monitoring, and alerting tools Cybersecurity data platforms and analytics environments DevSecOps and automation-driven delivery pipelines What You Bring (Requirements) Baseline Requirements Bachelor's degree (or equivalent experience) 3-7+ years of experience in data engineering or related hands-on development roles Ability to obtain and maintain a Public Trust clearance U.S. citizenship required Technical Capabilities Strong programming skills in Python and/or SQL Experience building and maintaining ETL/ELT pipelines Experience developing and managing REST APIs and data ingestion processes Experience designing data models, schemas, and lifecycle management approaches Experience working with cloud platforms (AWS, Azure) Experience with containerization technologies (Docker, Kubernetes) Experience implementing data quality frameworks (validation, monitoring, alerting) Core Strengths Strong ownership mindset for pipeline reliability and data quality Hands-on problem solver who can debug and fix issues independently Ability to work in fast-moving environments with evolving requirements Strong attention to detail in data accuracy and validation Effective collaboration with engineering and security teams Nice to Have (Differentiators) Experience supporting Department of Veterans Affairs or similar federal programs Experience working with cybersecurity data or risk analytics platforms Exposure to AI/ML-enabled data workflows or automation use cases Experience with streaming or near real-time data pipelines Experience working in DevSecOps or Agile environments _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact .
06/08/2026
Full time
Job DescriptionJob Description Revolutional delivers advanced technology solutions and mission support to federal agencies across civilian, health, and national security environments. We apply modern capabilities, including AI/ML, cloud, cybersecurity, and IT modernization to solve complex challenges, enable faster and more secure operations, and drive measurable mission outcomes. We are redefining how federal technology gets built and delivered by operating with a product mindset, prioritizing speed, ownership, and execution over bureaucracy. Data Engineer - Cyber Risk & Security Data Platforms Location: Remote Terms: Full-time Clearance: Qualified candidates must be US citizens and have the ability to obtain and maintain a Public Trust is required Travel: 0% Project Description This position supports Revolutional's customer, the Department of Veterans Affairs (VA), as part of the Cybersecurity Transformation Program (CTP). The program is modernizing cybersecurity capabilities through data-driven platforms, cloud infrastructure, and integrated analytics pipelines. A key focus is enabling secure, scalable data infrastructure that supports cyber risk awareness, assessment, and response. The core challenge: building and maintaining reliable data pipelines and systems that support real-time security insights while ensuring data quality, integrity, and protection. Position Description As a Data Engineer at Revolutional, you will operate as a hands-on developer responsible for building, maintaining, and optimizing data pipelines and data services that support cybersecurity operations. This is an individual contributor role where you will be writing code, developing pipelines, integrating APIs, and troubleshooting data systems daily. You will work across cloud environments and security-focused data platforms to ensure data is accurate, reliable, and usable for downstream analytics and risk management. You are expected to go beyond basic data movement while owning data quality, pipeline reliability, and secure data handling in a production environment. Responsibilities Design, develop, and maintain ETL/ELT pipelines for secure data ingestion, transformation, and reporting Build and manage REST APIs and data ingestion services across systems Write production-grade code using Python and/or SQL to support data processing and automation Implement data validation, monitoring, and alerting to ensure data quality and reliability Identify and resolve schema changes, data inconsistencies, and pipeline failures Work with structured and unstructured data across multiple sources Leverage cloud platforms (AWS, Azure) for storage, compute, and data services Deploy and manage data workloads in containerized environments (Docker, Kubernetes) Support integration of data pipelines into broader DevSecOps and automation workflows Contribute to security-focused data initiatives, including data protection and risk analysis support Collaborate with engineering and security teams to support operational and analytical use cases Technical Environment Cloud platforms (AWS, Azure) Containerized environments (Docker, Kubernetes) ETL/ELT pipelines and orchestration frameworks REST APIs and data ingestion services Data validation, monitoring, and alerting tools Cybersecurity data platforms and analytics environments DevSecOps and automation-driven delivery pipelines What You Bring (Requirements) Baseline Requirements Bachelor's degree (or equivalent experience) 3-7+ years of experience in data engineering or related hands-on development roles Ability to obtain and maintain a Public Trust clearance U.S. citizenship required Technical Capabilities Strong programming skills in Python and/or SQL Experience building and maintaining ETL/ELT pipelines Experience developing and managing REST APIs and data ingestion processes Experience designing data models, schemas, and lifecycle management approaches Experience working with cloud platforms (AWS, Azure) Experience with containerization technologies (Docker, Kubernetes) Experience implementing data quality frameworks (validation, monitoring, alerting) Core Strengths Strong ownership mindset for pipeline reliability and data quality Hands-on problem solver who can debug and fix issues independently Ability to work in fast-moving environments with evolving requirements Strong attention to detail in data accuracy and validation Effective collaboration with engineering and security teams Nice to Have (Differentiators) Experience supporting Department of Veterans Affairs or similar federal programs Experience working with cybersecurity data or risk analytics platforms Exposure to AI/ML-enabled data workflows or automation use cases Experience with streaming or near real-time data pipelines Experience working in DevSecOps or Agile environments _ Here at Revolutional we are pleased to have been repeatedly recognized for our outstanding work culture, the innovative work we do, and the employees on our team who make a difference each day. Some of these recognitions include: Recognized as a Top 20 "Best Place to Work in Virginia" Recipient of Department of Labor's HireVets Gold Medallion Great Place to Work Certification for five years running A Virginia Chamber of Commerce Fantastic 50 company A Northern Virginia Technology Council Tech 100 company Inc. 5000 list of fastest growing companies for eleven years Two-time SBA SBIR Tibbett's Award winner Virginia Values Veterans (V3) Certification We recognize that every bit of our success is the result of our teams of hard-working, motivated, and innovative professionals who are proud to call themselves part of the Revolutional family! In addition to competitive compensation, a family-focused culture, and a dynamic, productive work environment, we offer all full-time employees a variety of benefits including, but not limited to Traditional and HSA- eligible medical insurance plans 100% employer-paid dental and vision insurance options 100% employer-sponsored STD, LTD, and life insurance 5% 401(k) company matching Flexible-schedules and teleworking options Paid holidays and PTO Accrual Plans Paid Parental Leave Professional development and career growth opportunities Team and company-wide events, recognition, and appreciation and so much more! Check out our Revolutional LinkedIn to find out a little more about who we are and if we are the right next step for your career! Revolutional is an Equal Opportunity Employer providing equal employment opportunity to all employees and applicants for employment without regard to race, color, religion, national origin, age, gender, gender identity, sexual orientation, disability, or genetics. Revolutional does and will take affirmative action to employ and advance in employment individuals with disabilities and protected veterans. To perform the above job successfully, an individual must possess the knowledge, skills, and abilities listed; meet the education and work experience required; and must be able to perform each essential duty and responsibility satisfactorily. Other duties in addition to those listed may be assigned as necessary to meet business needs. Reasonable accommodation will be made to enable an applicant with a disability to successfully apply for and/or perform the essential duties of the job. If you are in need of an accommodation, please contact .
Job DescriptionJob Description Information Technology Senior Consultant Level 5 Columbia, MD TS/SCI with FULL SCOPE POLYGRAPH REQUIRED FOR CONSIDERATION FOR THIS POSITION Details: Performs as a consultant in highly specialized, leading edge information technologies and methodologies; Provides highly technical and specialized guidance concerning automated solutions to complex information processing problems; Performs elaborate analyses and studies; Prepares reports and gives presentations. Manages the project work as defined by the government. Leads medium to large complex projects and major phases of very large projects. Provides highly technical and specialized guidance and solutions to complex IT problems. • Develop and manage software tools in support of Enterprise Management on the Enterprise IT Operations (EITO) MASH Project • Develop and deploy openstack components to support customer requirements. • Upgrade current regions to remain inside the supported release list (called SLURP upgrade) • Provide technical support to operations team as needed to support existing infrastructure • Support metrics organization in both new and old regions, using Gnocchi for new regions and custom metric solutions for existing installations • Conduct program design, coding, testing, debugging, and documentation using Python, Python Flask, Golang Qualifications: Minimum education and experience level: High School/GED with twenty (20) years of relevant experience. Associate's degree with fifteen (15) years of relevant experience. Bachelor's degree with twelve (12) years of relevant experience. IAT I Certification Technology: Senior DBA: Oracle Database 12c/19c and later PostGreSQL MySQL Preferred Skills Oracle Enterprise Manager/Cloud Control Oracle Exadata Details: Manages the project work as defined by the government. Leads medium to large complex projects and major phases of very large projects. Provides highly technical and specialized guidance and solutions to complex IT problems. Customer Engagement/issue resolution, Linux, Puppet, Yum, OpenStack, Nessus, Jira (Similar), Troubleshooting: Tomcat, MySQL, Java Applications, Nginx,Kubernetes Salary Range: $150,000 - $250,000 annually, commensurate with skill set, experience, security clearance level, and educational qualifications. At SNS One, Inc., we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. SNS One, Inc. believes that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.
06/08/2026
Full time
Job DescriptionJob Description Information Technology Senior Consultant Level 5 Columbia, MD TS/SCI with FULL SCOPE POLYGRAPH REQUIRED FOR CONSIDERATION FOR THIS POSITION Details: Performs as a consultant in highly specialized, leading edge information technologies and methodologies; Provides highly technical and specialized guidance concerning automated solutions to complex information processing problems; Performs elaborate analyses and studies; Prepares reports and gives presentations. Manages the project work as defined by the government. Leads medium to large complex projects and major phases of very large projects. Provides highly technical and specialized guidance and solutions to complex IT problems. • Develop and manage software tools in support of Enterprise Management on the Enterprise IT Operations (EITO) MASH Project • Develop and deploy openstack components to support customer requirements. • Upgrade current regions to remain inside the supported release list (called SLURP upgrade) • Provide technical support to operations team as needed to support existing infrastructure • Support metrics organization in both new and old regions, using Gnocchi for new regions and custom metric solutions for existing installations • Conduct program design, coding, testing, debugging, and documentation using Python, Python Flask, Golang Qualifications: Minimum education and experience level: High School/GED with twenty (20) years of relevant experience. Associate's degree with fifteen (15) years of relevant experience. Bachelor's degree with twelve (12) years of relevant experience. IAT I Certification Technology: Senior DBA: Oracle Database 12c/19c and later PostGreSQL MySQL Preferred Skills Oracle Enterprise Manager/Cloud Control Oracle Exadata Details: Manages the project work as defined by the government. Leads medium to large complex projects and major phases of very large projects. Provides highly technical and specialized guidance and solutions to complex IT problems. Customer Engagement/issue resolution, Linux, Puppet, Yum, OpenStack, Nessus, Jira (Similar), Troubleshooting: Tomcat, MySQL, Java Applications, Nginx,Kubernetes Salary Range: $150,000 - $250,000 annually, commensurate with skill set, experience, security clearance level, and educational qualifications. At SNS One, Inc., we are committed to providing an environment of mutual respect where equal employment opportunities are available to all applicants and teammates without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law. SNS One, Inc. believes that diversity and inclusion among our teammates is critical to our success as a company, and we seek to recruit, develop and retain the most talented people from a diverse candidate pool.
Job DescriptionJob DescriptionBenefits: 401(k) matching Competitive salary Health insurance Paid time off About this Role: Imagineeer is seeking a Data Engineer to support the design, development, and maintenance of secure, compliant data pipelines and enterprise data platforms within DoD and federal healthcare environments. This role focuses on building scalable ingestion frameworks, implementing secure data transformation workflows, and ensuring all engineering activities align with federal cybersecurity, privacy, and records management standards. You will operate in regulated IL4/IL5 cloud environments and work directly with data architects, cybersecurity teams, and data scientists to deliver trusted, audit-ready data infrastructure. Key Responsibilities: Pipeline Design and Development Design, develop, and maintain secure ETL/ELT data pipelines in IL4/IL5 cloud environments Build scalable ingestion frameworks integrating structured and unstructured data sources Develop API-based and streaming ingestion mechanisms Integrate enterprise systems including MHS GENESIS, TRICARE, and United States Transportation Command Enforce data validation, schema enforcement, and metadata tagging standards across all pipelines Security and Compliance Engineering Implement encryption in transit and at rest in accordance with DoD and NIST requirements Develop automated logging, monitoring, and audit trails for all data ingestion and transformation activities Support implementation of ABAC and RBAC mechanisms Assist with RMF documentation and ATO package development Participate in DevSecOps pipeline implementation and CI/CD automation Data Governance and Cataloging Support data cataloging, metadata management, and lineage tracking initiatives Apply data quality checks and fitness-for-use assessments across high-visibility datasets Document engineering methods and pipelines to support Government sustainment and knowledge transfer Qualifications and Skills: 5 to 10 years of experience in data engineering or enterprise data platform development Experience supporting DoD or federal civilian agencies Hands-on experience with IL4/IL5 cloud environments (AWS GovCloud, Azure Government, or equivalent) Strong proficiency in SQL and Python Experience building pipelines using Spark or distributed processing frameworks Familiarity with DevSecOps and CI/CD practices Understanding of NIST 800-series security controls and federal compliance environments Experience implementing encryption, logging, and monitoring controls Must be able to obtain a Public Trust clearance Desired Skills and Competencies: Experience supporting Military Health System or federal healthcare environments Experience with lakehouse platforms (Databricks, Snowflake, or similar) Experience implementing metadata catalogs and data lineage tools (Collibra, Apache Atlas, Alation, Informatica, or equivalent) Familiarity with zero-trust architecture principles Knowledge of automated records retention and disposition workflows Strong documentation skills supporting compliance and audit readiness Experience collaborating with architects, data scientists, and cybersecurity teams in Agile or DevSecOps environments Current database or cloud certifications (AWS, Azure, Oracle, IBM DB2, CDMP, or equivalent) Technical certification in compliance with DoD Directive 8140 (CompTIA Sec+, CISSP, CISM, CEH, or equivalent) Active DoD clearance Equal Opportunity Employer: We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications. Flexible work from home options available.
06/08/2026
Full time
Job DescriptionJob DescriptionBenefits: 401(k) matching Competitive salary Health insurance Paid time off About this Role: Imagineeer is seeking a Data Engineer to support the design, development, and maintenance of secure, compliant data pipelines and enterprise data platforms within DoD and federal healthcare environments. This role focuses on building scalable ingestion frameworks, implementing secure data transformation workflows, and ensuring all engineering activities align with federal cybersecurity, privacy, and records management standards. You will operate in regulated IL4/IL5 cloud environments and work directly with data architects, cybersecurity teams, and data scientists to deliver trusted, audit-ready data infrastructure. Key Responsibilities: Pipeline Design and Development Design, develop, and maintain secure ETL/ELT data pipelines in IL4/IL5 cloud environments Build scalable ingestion frameworks integrating structured and unstructured data sources Develop API-based and streaming ingestion mechanisms Integrate enterprise systems including MHS GENESIS, TRICARE, and United States Transportation Command Enforce data validation, schema enforcement, and metadata tagging standards across all pipelines Security and Compliance Engineering Implement encryption in transit and at rest in accordance with DoD and NIST requirements Develop automated logging, monitoring, and audit trails for all data ingestion and transformation activities Support implementation of ABAC and RBAC mechanisms Assist with RMF documentation and ATO package development Participate in DevSecOps pipeline implementation and CI/CD automation Data Governance and Cataloging Support data cataloging, metadata management, and lineage tracking initiatives Apply data quality checks and fitness-for-use assessments across high-visibility datasets Document engineering methods and pipelines to support Government sustainment and knowledge transfer Qualifications and Skills: 5 to 10 years of experience in data engineering or enterprise data platform development Experience supporting DoD or federal civilian agencies Hands-on experience with IL4/IL5 cloud environments (AWS GovCloud, Azure Government, or equivalent) Strong proficiency in SQL and Python Experience building pipelines using Spark or distributed processing frameworks Familiarity with DevSecOps and CI/CD practices Understanding of NIST 800-series security controls and federal compliance environments Experience implementing encryption, logging, and monitoring controls Must be able to obtain a Public Trust clearance Desired Skills and Competencies: Experience supporting Military Health System or federal healthcare environments Experience with lakehouse platforms (Databricks, Snowflake, or similar) Experience implementing metadata catalogs and data lineage tools (Collibra, Apache Atlas, Alation, Informatica, or equivalent) Familiarity with zero-trust architecture principles Knowledge of automated records retention and disposition workflows Strong documentation skills supporting compliance and audit readiness Experience collaborating with architects, data scientists, and cybersecurity teams in Agile or DevSecOps environments Current database or cloud certifications (AWS, Azure, Oracle, IBM DB2, CDMP, or equivalent) Technical certification in compliance with DoD Directive 8140 (CompTIA Sec+, CISSP, CISM, CEH, or equivalent) Active DoD clearance Equal Opportunity Employer: We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications. Flexible work from home options available.
Job DescriptionJob Description Active TS Required Red Arch Solutions is a proven and effective small business integrator and consultant, recognized as a leading provider of IT development to the Federal Government, and primarily focused within the Intelligence Community. Red Arch Solutions is looking for a Senior Data Engineer to support our client. The scope of this contract relates to maturing and maintaining an IT managed service model, evolving an intelligence organization and its data to a hyperconverged cloud environment, improving the organizational collaboration technology, delivering a more agile operational architecture to the warfighter using commercial technology. As a Sr Data Engineer, yyou'll work with a cross-functional team to help design and ingest data from different Object Management Systems that support mission operations for our classified customer If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below! What you'll do: Work with AI team members to operationalize data pipelines and ML tasks. Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities. Present results to a diverse audience in presentation or report form. Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements. Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas. What you'll need to succeed: Minimum 7 years' experience in Data/ML Engineering Bachelor's Degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience Secret clearance and/or T1 background investigation Strong Experience with ETL, data labeling, and data preparation Experience with one or more of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka Strong experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+ Strong experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production. Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders Salary range for this opening $170,000-180,000 The Red Arch Solutions pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. Red Arch Solutions Benefits Snapshot: 100% paid employee healthcare premiums. CareFirst Advantage Best in Class Benefits. HaloScripts Concierge prescription medication service Generous PTO. 10 % 401K 6% match vested day one and up to 4% profit sharing contribution. Annualized bonus compensation. Spot bonuses for hard work. Tuition reimbursement. 529 College Saving Plan. College Loan Pay Back Program. 11 Paid Federal Holidays Generous Referral Bonuses. Red Arch Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Have more questions about Red Arch? Email us at Powered by JazzHR mhrRFpfEYr
06/08/2026
Full time
Job DescriptionJob Description Active TS Required Red Arch Solutions is a proven and effective small business integrator and consultant, recognized as a leading provider of IT development to the Federal Government, and primarily focused within the Intelligence Community. Red Arch Solutions is looking for a Senior Data Engineer to support our client. The scope of this contract relates to maturing and maintaining an IT managed service model, evolving an intelligence organization and its data to a hyperconverged cloud environment, improving the organizational collaboration technology, delivering a more agile operational architecture to the warfighter using commercial technology. As a Sr Data Engineer, yyou'll work with a cross-functional team to help design and ingest data from different Object Management Systems that support mission operations for our classified customer If you think you can see yourself delivering our mission and pursuing our goals with us, then check out the job description below! What you'll do: Work with AI team members to operationalize data pipelines and ML tasks. Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities. Present results to a diverse audience in presentation or report form. Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements. Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas. What you'll need to succeed: Minimum 7 years' experience in Data/ML Engineering Bachelor's Degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience Secret clearance and/or T1 background investigation Strong Experience with ETL, data labeling, and data preparation Experience with one or more of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka Strong experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+ Strong experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production. Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders Salary range for this opening $170,000-180,000 The Red Arch Solutions pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data. Red Arch Solutions Benefits Snapshot: 100% paid employee healthcare premiums. CareFirst Advantage Best in Class Benefits. HaloScripts Concierge prescription medication service Generous PTO. 10 % 401K 6% match vested day one and up to 4% profit sharing contribution. Annualized bonus compensation. Spot bonuses for hard work. Tuition reimbursement. 529 College Saving Plan. College Loan Pay Back Program. 11 Paid Federal Holidays Generous Referral Bonuses. Red Arch Solutions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. Have more questions about Red Arch? Email us at Powered by JazzHR mhrRFpfEYr
Job DescriptionJob Description Perks and Benefits 100% Paid Healthcare 10% 401k in every paycheck 100% Fully Vested! NOTE - Our positions require a Top Secret clearance, as well as the favorable completion of a polygraph. Applicants must be authorized to work in the U.S. We are unable to sponsor an employment Visa. What You'll Be Doing (We don't love the bullet points, but we love the work!) In this key Data Engineering role, you'll get to build the workflow engines behind the curtain, designing reliable Apache Airflow pipelines that keep data moving cleanly, efficiently, and on schedule for analytics and operational needs.Required Skills Experience using the Linux CLI and Linux tools Experience developing Bash scripts to automate manual processes Recent software development experience using Python and Java Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows Experience using Distributed Big Data processing engines including Apache Spark Experience with containerization technologies such as Docker, containerd, and Podman Experience with Git Source Control System Desired Skills Experience using the Atlassian Tool Suite (JIRA, Confluence) Familiar with AWS Cloud Services and Infrastructure Appreciates a sense of humor and the occasional well-timed joke. Powered by JazzHR m7HNgWAklg
06/08/2026
Full time
Job DescriptionJob Description Perks and Benefits 100% Paid Healthcare 10% 401k in every paycheck 100% Fully Vested! NOTE - Our positions require a Top Secret clearance, as well as the favorable completion of a polygraph. Applicants must be authorized to work in the U.S. We are unable to sponsor an employment Visa. What You'll Be Doing (We don't love the bullet points, but we love the work!) In this key Data Engineering role, you'll get to build the workflow engines behind the curtain, designing reliable Apache Airflow pipelines that keep data moving cleanly, efficiently, and on schedule for analytics and operational needs.Required Skills Experience using the Linux CLI and Linux tools Experience developing Bash scripts to automate manual processes Recent software development experience using Python and Java Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows Experience using Distributed Big Data processing engines including Apache Spark Experience with containerization technologies such as Docker, containerd, and Podman Experience with Git Source Control System Desired Skills Experience using the Atlassian Tool Suite (JIRA, Confluence) Familiar with AWS Cloud Services and Infrastructure Appreciates a sense of humor and the occasional well-timed joke. Powered by JazzHR m7HNgWAklg
Job DescriptionJob DescriptionBenefits: 401(k) matching Competitive salary Health insurance Paid time off About this Role: Imagineeer is seeking a Data Engineer to support the design, development, and maintenance of secure, compliant data pipelines and enterprise data platforms within DoD and federal healthcare environments. This role focuses on building scalable ingestion frameworks, implementing secure data transformation workflows, and ensuring all engineering activities align with federal cybersecurity, privacy, and records management standards. You will operate in regulated IL4/IL5 cloud environments and work directly with data architects, cybersecurity teams, and data scientists to deliver trusted, audit-ready data infrastructure. Key Responsibilities: Pipeline Design and Development Design, develop, and maintain secure ETL/ELT data pipelines in IL4/IL5 cloud environments Build scalable ingestion frameworks integrating structured and unstructured data sources Develop API-based and streaming ingestion mechanisms Integrate enterprise systems including MHS GENESIS, TRICARE, and United States Transportation Command Enforce data validation, schema enforcement, and metadata tagging standards across all pipelines Security and Compliance Engineering Implement encryption in transit and at rest in accordance with DoD and NIST requirements Develop automated logging, monitoring, and audit trails for all data ingestion and transformation activities Support implementation of ABAC and RBAC mechanisms Assist with RMF documentation and ATO package development Participate in DevSecOps pipeline implementation and CI/CD automation Data Governance and Cataloging Support data cataloging, metadata management, and lineage tracking initiatives Apply data quality checks and fitness-for-use assessments across high-visibility datasets Document engineering methods and pipelines to support Government sustainment and knowledge transfer Qualifications and Skills: 5 to 10 years of experience in data engineering or enterprise data platform development Experience supporting DoD or federal civilian agencies Hands-on experience with IL4/IL5 cloud environments (AWS GovCloud, Azure Government, or equivalent) Strong proficiency in SQL and Python Experience building pipelines using Spark or distributed processing frameworks Familiarity with DevSecOps and CI/CD practices Understanding of NIST 800-series security controls and federal compliance environments Experience implementing encryption, logging, and monitoring controls Must be able to obtain a Public Trust clearance Desired Skills and Competencies: Experience supporting Military Health System or federal healthcare environments Experience with lakehouse platforms (Databricks, Snowflake, or similar) Experience implementing metadata catalogs and data lineage tools (Collibra, Apache Atlas, Alation, Informatica, or equivalent) Familiarity with zero-trust architecture principles Knowledge of automated records retention and disposition workflows Strong documentation skills supporting compliance and audit readiness Experience collaborating with architects, data scientists, and cybersecurity teams in Agile or DevSecOps environments Current database or cloud certifications (AWS, Azure, Oracle, IBM DB2, CDMP, or equivalent) Technical certification in compliance with DoD Directive 8140 (CompTIA Sec+, CISSP, CISM, CEH, or equivalent) Active DoD clearance Equal Opportunity Employer: We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications. Flexible work from home options available.
06/08/2026
Full time
Job DescriptionJob DescriptionBenefits: 401(k) matching Competitive salary Health insurance Paid time off About this Role: Imagineeer is seeking a Data Engineer to support the design, development, and maintenance of secure, compliant data pipelines and enterprise data platforms within DoD and federal healthcare environments. This role focuses on building scalable ingestion frameworks, implementing secure data transformation workflows, and ensuring all engineering activities align with federal cybersecurity, privacy, and records management standards. You will operate in regulated IL4/IL5 cloud environments and work directly with data architects, cybersecurity teams, and data scientists to deliver trusted, audit-ready data infrastructure. Key Responsibilities: Pipeline Design and Development Design, develop, and maintain secure ETL/ELT data pipelines in IL4/IL5 cloud environments Build scalable ingestion frameworks integrating structured and unstructured data sources Develop API-based and streaming ingestion mechanisms Integrate enterprise systems including MHS GENESIS, TRICARE, and United States Transportation Command Enforce data validation, schema enforcement, and metadata tagging standards across all pipelines Security and Compliance Engineering Implement encryption in transit and at rest in accordance with DoD and NIST requirements Develop automated logging, monitoring, and audit trails for all data ingestion and transformation activities Support implementation of ABAC and RBAC mechanisms Assist with RMF documentation and ATO package development Participate in DevSecOps pipeline implementation and CI/CD automation Data Governance and Cataloging Support data cataloging, metadata management, and lineage tracking initiatives Apply data quality checks and fitness-for-use assessments across high-visibility datasets Document engineering methods and pipelines to support Government sustainment and knowledge transfer Qualifications and Skills: 5 to 10 years of experience in data engineering or enterprise data platform development Experience supporting DoD or federal civilian agencies Hands-on experience with IL4/IL5 cloud environments (AWS GovCloud, Azure Government, or equivalent) Strong proficiency in SQL and Python Experience building pipelines using Spark or distributed processing frameworks Familiarity with DevSecOps and CI/CD practices Understanding of NIST 800-series security controls and federal compliance environments Experience implementing encryption, logging, and monitoring controls Must be able to obtain a Public Trust clearance Desired Skills and Competencies: Experience supporting Military Health System or federal healthcare environments Experience with lakehouse platforms (Databricks, Snowflake, or similar) Experience implementing metadata catalogs and data lineage tools (Collibra, Apache Atlas, Alation, Informatica, or equivalent) Familiarity with zero-trust architecture principles Knowledge of automated records retention and disposition workflows Strong documentation skills supporting compliance and audit readiness Experience collaborating with architects, data scientists, and cybersecurity teams in Agile or DevSecOps environments Current database or cloud certifications (AWS, Azure, Oracle, IBM DB2, CDMP, or equivalent) Technical certification in compliance with DoD Directive 8140 (CompTIA Sec+, CISSP, CISM, CEH, or equivalent) Active DoD clearance Equal Opportunity Employer: We are an Equal Opportunity Employer and do not discriminate in employment decisions on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other status protected by applicable federal, state, or local laws. All employment decisions are based on business needs, job requirements, and individual qualifications. Flexible work from home options available.
Job DescriptionJob Description As a Data & AI Engineer, you'll build and deploy modern data pipelines and generative AI solutions on AWS - from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready. What You'll Do: Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR Creating and maintaining data extraction, transformation, and loading processes Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex Writing and testing SQL queries and stored procedures Documenting technical solutions and providing knowledge transfer to customers Supporting the implementation of data governance and security controls Troubleshooting and resolving issues with data pipelines and AI services Participating in code reviews and implementing feedback Assisting with proof-of-concept implementations for customer engagements Required Skills: 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development 2+ years of hands-on AWS experience with production deployments 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents) Proven track record delivering production AI applications from concept to deployment Strong understanding of software engineering best practices (version control, testing, code review, documentation) Experience working in agile/scrum environments with distributed teams Excellent problem-solving skills and ability to work independently with minimal supervision Strong written and verbal communication skills for client-facing interactions Preferred: Technical familiarity with AWS data and AI/ML services and modern data engineering practices Hands-on experience with ETL/ELT processes and data transformation Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks Ability to write and optimize SQL queries across various database platforms Knowledge of data modeling concepts and best practices Strong analytical and problem-solving skills Eagerness to learn new technologies and keep up with cloud and AI innovations Excellent communication skills with the ability to explain technical concepts clearly Attention to detail and commitment to solution quality Collaborative mindset with strong teamwork capabilities Experience or interest in automation and infrastructure as code The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
06/08/2026
Full time
Job DescriptionJob Description As a Data & AI Engineer, you'll build and deploy modern data pipelines and generative AI solutions on AWS - from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready. What You'll Do: Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR Creating and maintaining data extraction, transformation, and loading processes Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex Writing and testing SQL queries and stored procedures Documenting technical solutions and providing knowledge transfer to customers Supporting the implementation of data governance and security controls Troubleshooting and resolving issues with data pipelines and AI services Participating in code reviews and implementing feedback Assisting with proof-of-concept implementations for customer engagements Required Skills: 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development 2+ years of hands-on AWS experience with production deployments 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents) Proven track record delivering production AI applications from concept to deployment Strong understanding of software engineering best practices (version control, testing, code review, documentation) Experience working in agile/scrum environments with distributed teams Excellent problem-solving skills and ability to work independently with minimal supervision Strong written and verbal communication skills for client-facing interactions Preferred: Technical familiarity with AWS data and AI/ML services and modern data engineering practices Hands-on experience with ETL/ELT processes and data transformation Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks Ability to write and optimize SQL queries across various database platforms Knowledge of data modeling concepts and best practices Strong analytical and problem-solving skills Eagerness to learn new technologies and keep up with cloud and AI innovations Excellent communication skills with the ability to explain technical concepts clearly Attention to detail and commitment to solution quality Collaborative mindset with strong teamwork capabilities Experience or interest in automation and infrastructure as code The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job DescriptionJob Description As a Data & AI Engineer, you'll build and deploy modern data pipelines and generative AI solutions on AWS - from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready. What You'll Do: Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR Creating and maintaining data extraction, transformation, and loading processes Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex Writing and testing SQL queries and stored procedures Documenting technical solutions and providing knowledge transfer to customers Supporting the implementation of data governance and security controls Troubleshooting and resolving issues with data pipelines and AI services Participating in code reviews and implementing feedback Assisting with proof-of-concept implementations for customer engagements Required Skills: 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development 2+ years of hands-on AWS experience with production deployments 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents) Proven track record delivering production AI applications from concept to deployment Strong understanding of software engineering best practices (version control, testing, code review, documentation) Experience working in agile/scrum environments with distributed teams Excellent problem-solving skills and ability to work independently with minimal supervision Strong written and verbal communication skills for client-facing interactions Preferred: Technical familiarity with AWS data and AI/ML services and modern data engineering practices Hands-on experience with ETL/ELT processes and data transformation Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks Ability to write and optimize SQL queries across various database platforms Knowledge of data modeling concepts and best practices Strong analytical and problem-solving skills Eagerness to learn new technologies and keep up with cloud and AI innovations Excellent communication skills with the ability to explain technical concepts clearly Attention to detail and commitment to solution quality Collaborative mindset with strong teamwork capabilities Experience or interest in automation and infrastructure as code The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
06/08/2026
Full time
Job DescriptionJob Description As a Data & AI Engineer, you'll build and deploy modern data pipelines and generative AI solutions on AWS - from scalable ETL/ELT workflows and cloud data platforms to production-grade RAG systems and AI agents. One engagement you may be designing and optimizing data pipelines using Glue, Lambda, and Redshift, the next you're building GenAI applications powered by Bedrock, Claude, and vector databases to enable intelligent search and automation. You'll work directly with clients to deliver end-to-end data and AI solutions that are secure, scalable, and production-ready. What You'll Do: Implementing data pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR Creating and maintaining data extraction, transformation, and loading processes Configuring and optimizing AWS database services including RDS, Aurora, Redshift, and DynamoDB Implementing data lakes using S3 and related AWS services Designing and building production-ready Generative AI applications using Amazon Bedrock and foundation models such as Anthropic Claude Building and optimizing RAG (Retrieval-Augmented Generation) pipelines with vector databases Developing AI agents and multi-agent orchestration systems using frameworks like LangChain or LlamaIndex Writing and testing SQL queries and stored procedures Documenting technical solutions and providing knowledge transfer to customers Supporting the implementation of data governance and security controls Troubleshooting and resolving issues with data pipelines and AI services Participating in code reviews and implementing feedback Assisting with proof-of-concept implementations for customer engagements Required Skills: 5+ years of software engineering experience with at least 2+ years focused on AI/ML, data engineering, or cloud-native development 2+ years of hands-on AWS experience with production deployments 1+ years of direct Generative AI experience (LLMs, embeddings, RAG, agents) Proven track record delivering production AI applications from concept to deployment Strong understanding of software engineering best practices (version control, testing, code review, documentation) Experience working in agile/scrum environments with distributed teams Excellent problem-solving skills and ability to work independently with minimal supervision Strong written and verbal communication skills for client-facing interactions Preferred: Technical familiarity with AWS data and AI/ML services and modern data engineering practices Hands-on experience with ETL/ELT processes and data transformation Exposure to Generative AI concepts including LLMs, embeddings, RAG, and agent frameworks Ability to write and optimize SQL queries across various database platforms Knowledge of data modeling concepts and best practices Strong analytical and problem-solving skills Eagerness to learn new technologies and keep up with cloud and AI innovations Excellent communication skills with the ability to explain technical concepts clearly Attention to detail and commitment to solution quality Collaborative mindset with strong teamwork capabilities Experience or interest in automation and infrastructure as code The salary range provided is a general guideline. When extending an offer, Innovative considers factors including, but not limited to, the responsibilities of the specific role, market conditions, geographic location, as well as the candidate's professional experience, key skills, and education/training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Job DescriptionJob Description At FEI Systems, we create innovative technology solutions to improve the delivery of health and human services because we know when cumbersome administrative processes stand in the way, those who need it most are often left without access to proper care and support. From comprehensive case management software to disaster recovery services and content management information systems used in delivering foreign aid, our solutions are improving the lives of millions of people. We're looking for a data engineer who shares our commitment to leveraging technology to make a real impact in the world - a professional who knows, beyond all else, that the quality of our products and services is only as good as the company we keep. All candidates will be required to complete at least one in-person interview as part of our hiring process. Role Overview We are seeking a Data Engineer to support Machine Learning and AI initiatives. Working closely with the Solution Architect, Data Architect, DevOps, and Application Engineering teams, this role is responsible for ensuring that data within our cloud-based platform is high quality, well-governed, feature-ready, and production-grade to support model training, deployment, and ongoing operations. The ideal candidate has 5+ years of cloud data engineering experience with strong proficiency in Snowflake, Python, and SQL, and solid familiarity with AWS-native data services. Candidates are not expected to arrive with expertise across every area listed. We are looking for demonstrated strength in the core data engineering and Snowflake skills, combined with the initiative and aptitude to grow into the broader scope of the role. Day-One Priorities & Scope Immediate focus is Snowflake-based data engineering, pipeline development, and data quality. Feature engineering, model training support, and MLOps contributions are growth areas that will ramp over time as you become embedded with the team. Key Responsibilities Data Pipeline Engineering Design, build, and maintain scalable data pipelines supporting ML/AI workloads. Engineer pipeline patterns including full loads, incremental loads, change-based loads, and slowly changing dimensions. Ensure pipelines are reliable, performant, secure, and maintainable, troubleshoot and monitor pipelines within an AWS ecosystem. Snowflake & Cloud Data Engineering Perform data transformations in Snowflake using SQL and native Snowflake features. Design and optimize schemas, tables, views, and materialized views for ML/AI consumption. Support AWS-native data lake patterns using S3, Glue, Athena, Apache Iceberg, and S3 Tables. Feature Engineering & Data Preparation Perform data cleansing, normalization, and enrichment to support ML model development. Design and implement feature engineering pipelines including aggregation and transformation. Ensure consistency, reuse, and versioning of features across models and use cases. Support feature store patterns to enable feature discoverability and reuse. Collaborate with ML engineers and data scientists to operationalize features into training pipelines. Model Training & MLOps Support Support model training workflows, including dataset preparation and scheduled refreshes. Ensure training datasets and features are reproducible, traceable, and auditable. Integrate data pipelines into CI/CD workflows; support version control, testing, and deployment of data assets. Monitor pipeline health, data freshness, and downstream impact on ML/AI systems. Required Skills & Experience 5+ years of hands-on data engineering experience in a cloud environment. Core Technologies Python - strong proficiency for data processing and pipeline development. SQL - advanced skills with hands-on Snowflake transformation experience. Snowflake - ELT pipeline design, schema optimization, performance tuning, cost management. PostgreSQL - experience with querying, data modeling, and analytics; familiarity with SQL Server to PostgreSQL migration a plus. AWS - S3, Glue, Athena, Snowflake integration, and managed relational databases (e.g., Aurora, RDS). Apache Iceberg / S3 Tables - familiarity with open table format ecosystems. Streaming ingestion tools (e.g., Kinesis, Kafka, or equivalent). Workflow orchestration tools (e.g., Airflow, Step Functions, or equivalent). Pipeline & Data Engineering Experience with full loads, incremental loads, append-only pipelines, change-based processing, and SCDs. Data validation, reconciliation, error handling, and restart/recovery patterns. Data modeling for analytics, ML/AI, and downstream application use cases. Ability to evaluate pipeline design trade-offs across performance, cost, reliability, and maintainability. DevOps & Engineering Practices Structured SDLC experience with CI/CD pipelines for data and ML workflows. API-based and event-driven data integration patterns. Distributed data processing environments. ML/AI Data Foundations Understanding of data requirements for ML/AI workloads. Experience preparing training datasets and features from enterprise data lakes. Familiarity with reproducibility, dataset versioning, and data lineage concepts. Familiarity with GenAI concepts relevant to data engineering, such as embedding pipelines, vector databases, retrieval-augmented generation (RAG) data flows, or prompt-driven data processing - including awareness of data security and privacy considerations when working with LLMs. Education Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field. Equivalent professional experience will be considered. Location: Remote Status: Full time position with full company benefits. NOTICE: EO/AA/VEVRAA/Disabled Employer - Federal Contractor. FEI Systems participates in E-Verify, a federal program that enables employers to verify the identity and employment eligibility of all persons hired to work in the United States by providing the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. For more information on E-Verify, please contact DHS at . Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, political affiliation, disability, or genetic information, except where it relates to a bona fide occupational qualification or requirement. FEI Systems creates an Affirmative Action Plan on an annual basis. Pursuant to federal law, the portions of FEI Systems' Affirmative Action Program that relate to Section 503 (Persons with Disabilities) and/or Section 4212 (Protected Veterans), are available for inspection upon request by applicants and employees during FEI Systems' normal business hours.
06/08/2026
Full time
Job DescriptionJob Description At FEI Systems, we create innovative technology solutions to improve the delivery of health and human services because we know when cumbersome administrative processes stand in the way, those who need it most are often left without access to proper care and support. From comprehensive case management software to disaster recovery services and content management information systems used in delivering foreign aid, our solutions are improving the lives of millions of people. We're looking for a data engineer who shares our commitment to leveraging technology to make a real impact in the world - a professional who knows, beyond all else, that the quality of our products and services is only as good as the company we keep. All candidates will be required to complete at least one in-person interview as part of our hiring process. Role Overview We are seeking a Data Engineer to support Machine Learning and AI initiatives. Working closely with the Solution Architect, Data Architect, DevOps, and Application Engineering teams, this role is responsible for ensuring that data within our cloud-based platform is high quality, well-governed, feature-ready, and production-grade to support model training, deployment, and ongoing operations. The ideal candidate has 5+ years of cloud data engineering experience with strong proficiency in Snowflake, Python, and SQL, and solid familiarity with AWS-native data services. Candidates are not expected to arrive with expertise across every area listed. We are looking for demonstrated strength in the core data engineering and Snowflake skills, combined with the initiative and aptitude to grow into the broader scope of the role. Day-One Priorities & Scope Immediate focus is Snowflake-based data engineering, pipeline development, and data quality. Feature engineering, model training support, and MLOps contributions are growth areas that will ramp over time as you become embedded with the team. Key Responsibilities Data Pipeline Engineering Design, build, and maintain scalable data pipelines supporting ML/AI workloads. Engineer pipeline patterns including full loads, incremental loads, change-based loads, and slowly changing dimensions. Ensure pipelines are reliable, performant, secure, and maintainable, troubleshoot and monitor pipelines within an AWS ecosystem. Snowflake & Cloud Data Engineering Perform data transformations in Snowflake using SQL and native Snowflake features. Design and optimize schemas, tables, views, and materialized views for ML/AI consumption. Support AWS-native data lake patterns using S3, Glue, Athena, Apache Iceberg, and S3 Tables. Feature Engineering & Data Preparation Perform data cleansing, normalization, and enrichment to support ML model development. Design and implement feature engineering pipelines including aggregation and transformation. Ensure consistency, reuse, and versioning of features across models and use cases. Support feature store patterns to enable feature discoverability and reuse. Collaborate with ML engineers and data scientists to operationalize features into training pipelines. Model Training & MLOps Support Support model training workflows, including dataset preparation and scheduled refreshes. Ensure training datasets and features are reproducible, traceable, and auditable. Integrate data pipelines into CI/CD workflows; support version control, testing, and deployment of data assets. Monitor pipeline health, data freshness, and downstream impact on ML/AI systems. Required Skills & Experience 5+ years of hands-on data engineering experience in a cloud environment. Core Technologies Python - strong proficiency for data processing and pipeline development. SQL - advanced skills with hands-on Snowflake transformation experience. Snowflake - ELT pipeline design, schema optimization, performance tuning, cost management. PostgreSQL - experience with querying, data modeling, and analytics; familiarity with SQL Server to PostgreSQL migration a plus. AWS - S3, Glue, Athena, Snowflake integration, and managed relational databases (e.g., Aurora, RDS). Apache Iceberg / S3 Tables - familiarity with open table format ecosystems. Streaming ingestion tools (e.g., Kinesis, Kafka, or equivalent). Workflow orchestration tools (e.g., Airflow, Step Functions, or equivalent). Pipeline & Data Engineering Experience with full loads, incremental loads, append-only pipelines, change-based processing, and SCDs. Data validation, reconciliation, error handling, and restart/recovery patterns. Data modeling for analytics, ML/AI, and downstream application use cases. Ability to evaluate pipeline design trade-offs across performance, cost, reliability, and maintainability. DevOps & Engineering Practices Structured SDLC experience with CI/CD pipelines for data and ML workflows. API-based and event-driven data integration patterns. Distributed data processing environments. ML/AI Data Foundations Understanding of data requirements for ML/AI workloads. Experience preparing training datasets and features from enterprise data lakes. Familiarity with reproducibility, dataset versioning, and data lineage concepts. Familiarity with GenAI concepts relevant to data engineering, such as embedding pipelines, vector databases, retrieval-augmented generation (RAG) data flows, or prompt-driven data processing - including awareness of data security and privacy considerations when working with LLMs. Education Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field. Equivalent professional experience will be considered. Location: Remote Status: Full time position with full company benefits. NOTICE: EO/AA/VEVRAA/Disabled Employer - Federal Contractor. FEI Systems participates in E-Verify, a federal program that enables employers to verify the identity and employment eligibility of all persons hired to work in the United States by providing the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. For more information on E-Verify, please contact DHS at . Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, political affiliation, disability, or genetic information, except where it relates to a bona fide occupational qualification or requirement. FEI Systems creates an Affirmative Action Plan on an annual basis. Pursuant to federal law, the portions of FEI Systems' Affirmative Action Program that relate to Section 503 (Persons with Disabilities) and/or Section 4212 (Protected Veterans), are available for inspection upon request by applicants and employees during FEI Systems' normal business hours.
Job DescriptionJob Description At FEI Systems, we create innovative technology solutions to improve the delivery of health and human services because we know when cumbersome administrative processes stand in the way, those who need it most are often left without access to proper care and support. From comprehensive case management software to disaster recovery services and content management information systems used in delivering foreign aid, our solutions are improving the lives of millions of people. We're looking for a data engineer who shares our commitment to leveraging technology to make a real impact in the world - a professional who knows, beyond all else, that the quality of our products and services is only as good as the company we keep. All candidates will be required to complete at least one in-person interview as part of our hiring process. Role Overview We are seeking a Data Engineer to support Machine Learning and AI initiatives. Working closely with the Solution Architect, Data Architect, DevOps, and Application Engineering teams, this role is responsible for ensuring that data within our cloud-based platform is high quality, well-governed, feature-ready, and production-grade to support model training, deployment, and ongoing operations. The ideal candidate has 5+ years of cloud data engineering experience with strong proficiency in Snowflake, Python, and SQL, and solid familiarity with AWS-native data services. Candidates are not expected to arrive with expertise across every area listed. We are looking for demonstrated strength in the core data engineering and Snowflake skills, combined with the initiative and aptitude to grow into the broader scope of the role. Day-One Priorities & Scope Immediate focus is Snowflake-based data engineering, pipeline development, and data quality. Feature engineering, model training support, and MLOps contributions are growth areas that will ramp over time as you become embedded with the team. Key Responsibilities Data Pipeline Engineering Design, build, and maintain scalable data pipelines supporting ML/AI workloads. Engineer pipeline patterns including full loads, incremental loads, change-based loads, and slowly changing dimensions. Ensure pipelines are reliable, performant, secure, and maintainable, troubleshoot and monitor pipelines within an AWS ecosystem. Snowflake & Cloud Data Engineering Perform data transformations in Snowflake using SQL and native Snowflake features. Design and optimize schemas, tables, views, and materialized views for ML/AI consumption. Support AWS-native data lake patterns using S3, Glue, Athena, Apache Iceberg, and S3 Tables. Feature Engineering & Data Preparation Perform data cleansing, normalization, and enrichment to support ML model development. Design and implement feature engineering pipelines including aggregation and transformation. Ensure consistency, reuse, and versioning of features across models and use cases. Support feature store patterns to enable feature discoverability and reuse. Collaborate with ML engineers and data scientists to operationalize features into training pipelines. Model Training & MLOps Support Support model training workflows, including dataset preparation and scheduled refreshes. Ensure training datasets and features are reproducible, traceable, and auditable. Integrate data pipelines into CI/CD workflows; support version control, testing, and deployment of data assets. Monitor pipeline health, data freshness, and downstream impact on ML/AI systems. Required Skills & Experience 5+ years of hands-on data engineering experience in a cloud environment. Core Technologies Python - strong proficiency for data processing and pipeline development. SQL - advanced skills with hands-on Snowflake transformation experience. Snowflake - ELT pipeline design, schema optimization, performance tuning, cost management. PostgreSQL - experience with querying, data modeling, and analytics; familiarity with SQL Server to PostgreSQL migration a plus. AWS - S3, Glue, Athena, Snowflake integration, and managed relational databases (e.g., Aurora, RDS). Apache Iceberg / S3 Tables - familiarity with open table format ecosystems. Streaming ingestion tools (e.g., Kinesis, Kafka, or equivalent). Workflow orchestration tools (e.g., Airflow, Step Functions, or equivalent). Pipeline & Data Engineering Experience with full loads, incremental loads, append-only pipelines, change-based processing, and SCDs. Data validation, reconciliation, error handling, and restart/recovery patterns. Data modeling for analytics, ML/AI, and downstream application use cases. Ability to evaluate pipeline design trade-offs across performance, cost, reliability, and maintainability. DevOps & Engineering Practices Structured SDLC experience with CI/CD pipelines for data and ML workflows. API-based and event-driven data integration patterns. Distributed data processing environments. ML/AI Data Foundations Understanding of data requirements for ML/AI workloads. Experience preparing training datasets and features from enterprise data lakes. Familiarity with reproducibility, dataset versioning, and data lineage concepts. Familiarity with GenAI concepts relevant to data engineering, such as embedding pipelines, vector databases, retrieval-augmented generation (RAG) data flows, or prompt-driven data processing - including awareness of data security and privacy considerations when working with LLMs. Education Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field. Equivalent professional experience will be considered. Location: Remote Status: Full time position with full company benefits. NOTICE: EO/AA/VEVRAA/Disabled Employer - Federal Contractor. FEI Systems participates in E-Verify, a federal program that enables employers to verify the identity and employment eligibility of all persons hired to work in the United States by providing the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. For more information on E-Verify, please contact DHS at . Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, political affiliation, disability, or genetic information, except where it relates to a bona fide occupational qualification or requirement. FEI Systems creates an Affirmative Action Plan on an annual basis. Pursuant to federal law, the portions of FEI Systems' Affirmative Action Program that relate to Section 503 (Persons with Disabilities) and/or Section 4212 (Protected Veterans), are available for inspection upon request by applicants and employees during FEI Systems' normal business hours.
06/08/2026
Full time
Job DescriptionJob Description At FEI Systems, we create innovative technology solutions to improve the delivery of health and human services because we know when cumbersome administrative processes stand in the way, those who need it most are often left without access to proper care and support. From comprehensive case management software to disaster recovery services and content management information systems used in delivering foreign aid, our solutions are improving the lives of millions of people. We're looking for a data engineer who shares our commitment to leveraging technology to make a real impact in the world - a professional who knows, beyond all else, that the quality of our products and services is only as good as the company we keep. All candidates will be required to complete at least one in-person interview as part of our hiring process. Role Overview We are seeking a Data Engineer to support Machine Learning and AI initiatives. Working closely with the Solution Architect, Data Architect, DevOps, and Application Engineering teams, this role is responsible for ensuring that data within our cloud-based platform is high quality, well-governed, feature-ready, and production-grade to support model training, deployment, and ongoing operations. The ideal candidate has 5+ years of cloud data engineering experience with strong proficiency in Snowflake, Python, and SQL, and solid familiarity with AWS-native data services. Candidates are not expected to arrive with expertise across every area listed. We are looking for demonstrated strength in the core data engineering and Snowflake skills, combined with the initiative and aptitude to grow into the broader scope of the role. Day-One Priorities & Scope Immediate focus is Snowflake-based data engineering, pipeline development, and data quality. Feature engineering, model training support, and MLOps contributions are growth areas that will ramp over time as you become embedded with the team. Key Responsibilities Data Pipeline Engineering Design, build, and maintain scalable data pipelines supporting ML/AI workloads. Engineer pipeline patterns including full loads, incremental loads, change-based loads, and slowly changing dimensions. Ensure pipelines are reliable, performant, secure, and maintainable, troubleshoot and monitor pipelines within an AWS ecosystem. Snowflake & Cloud Data Engineering Perform data transformations in Snowflake using SQL and native Snowflake features. Design and optimize schemas, tables, views, and materialized views for ML/AI consumption. Support AWS-native data lake patterns using S3, Glue, Athena, Apache Iceberg, and S3 Tables. Feature Engineering & Data Preparation Perform data cleansing, normalization, and enrichment to support ML model development. Design and implement feature engineering pipelines including aggregation and transformation. Ensure consistency, reuse, and versioning of features across models and use cases. Support feature store patterns to enable feature discoverability and reuse. Collaborate with ML engineers and data scientists to operationalize features into training pipelines. Model Training & MLOps Support Support model training workflows, including dataset preparation and scheduled refreshes. Ensure training datasets and features are reproducible, traceable, and auditable. Integrate data pipelines into CI/CD workflows; support version control, testing, and deployment of data assets. Monitor pipeline health, data freshness, and downstream impact on ML/AI systems. Required Skills & Experience 5+ years of hands-on data engineering experience in a cloud environment. Core Technologies Python - strong proficiency for data processing and pipeline development. SQL - advanced skills with hands-on Snowflake transformation experience. Snowflake - ELT pipeline design, schema optimization, performance tuning, cost management. PostgreSQL - experience with querying, data modeling, and analytics; familiarity with SQL Server to PostgreSQL migration a plus. AWS - S3, Glue, Athena, Snowflake integration, and managed relational databases (e.g., Aurora, RDS). Apache Iceberg / S3 Tables - familiarity with open table format ecosystems. Streaming ingestion tools (e.g., Kinesis, Kafka, or equivalent). Workflow orchestration tools (e.g., Airflow, Step Functions, or equivalent). Pipeline & Data Engineering Experience with full loads, incremental loads, append-only pipelines, change-based processing, and SCDs. Data validation, reconciliation, error handling, and restart/recovery patterns. Data modeling for analytics, ML/AI, and downstream application use cases. Ability to evaluate pipeline design trade-offs across performance, cost, reliability, and maintainability. DevOps & Engineering Practices Structured SDLC experience with CI/CD pipelines for data and ML workflows. API-based and event-driven data integration patterns. Distributed data processing environments. ML/AI Data Foundations Understanding of data requirements for ML/AI workloads. Experience preparing training datasets and features from enterprise data lakes. Familiarity with reproducibility, dataset versioning, and data lineage concepts. Familiarity with GenAI concepts relevant to data engineering, such as embedding pipelines, vector databases, retrieval-augmented generation (RAG) data flows, or prompt-driven data processing - including awareness of data security and privacy considerations when working with LLMs. Education Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related technical field. Equivalent professional experience will be considered. Location: Remote Status: Full time position with full company benefits. NOTICE: EO/AA/VEVRAA/Disabled Employer - Federal Contractor. FEI Systems participates in E-Verify, a federal program that enables employers to verify the identity and employment eligibility of all persons hired to work in the United States by providing the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS), with information from each new employee's Form I-9 to confirm work authorization. For more information on E-Verify, please contact DHS at . Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, marital status, political affiliation, disability, or genetic information, except where it relates to a bona fide occupational qualification or requirement. FEI Systems creates an Affirmative Action Plan on an annual basis. Pursuant to federal law, the portions of FEI Systems' Affirmative Action Program that relate to Section 503 (Persons with Disabilities) and/or Section 4212 (Protected Veterans), are available for inspection upon request by applicants and employees during FEI Systems' normal business hours.
Job DescriptionJob Description Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of something special! Role and Responsibilities Model Development Collaborate with data scientists and SMEs to develop ML models using curated datasets. Conduct experiments, prototypes, and proof-of-concepts to validate model performance. Create scalable and reusable training pipelines using Databricks notebooks and MLflow. Implementation and Optimisation LLMs (Large Language Models), RAGs, and AI agent systems for various business applications. Deployment & MLOps Operationalize models with robust CI/CD workflows. Deploy models usingMLflow, SageMaker, or custom APIs. Monitor production models for accuracy, drift, and latency; manage retraining schedules. Data Integration & Architecture Alignment Work closely with Data Engineering to align ML pipelines with the Bronze, Silver, Gold layers of a Medallion Architecture. Engineer high-quality features and maintain training/inference pipelines. Cloud and Platform Engineering Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions. Collaboration & Documentation Document ML artifacts, processes, and performance outcomes. Contribute to agile project ceremonies and maintain a feedback loop with stakeholders. Share knowledge and mentor junior team members. Required Skills: 5+ years of experience in ML Engineering or Applied Machine Learning. Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). Proficient with Databricks, MLflow, and PySpark. Solid understanding of model lifecycle and MLOps practices. Experience with AWS-based data infrastructure and related DevOps practices. Demonstrated ability to productionize models and integrate with business system Strong understanding of mathematics and statistics relevant to machine learning and AI. Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.). Solid background in software engineering principles and best practices. Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Experience with MLOps tools and workflows, particularly on AWS (SageMaker, Lambda, S3, etc.). Practical experience with LLMs, RAGs, and AI agent architectures. Proficiency with the Databricks platform for data engineering and ML pipelines. Advanced programming skills in Python. Excellent communication and teamwork abilities. Preferred Skills: Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real-time model interactions Business acumen and ability to align AI solutions with organizational goals. Optimize compute and storage resources for performance and cost-efficiency. Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
06/08/2026
Full time
Job DescriptionJob Description Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of something special! Role and Responsibilities Model Development Collaborate with data scientists and SMEs to develop ML models using curated datasets. Conduct experiments, prototypes, and proof-of-concepts to validate model performance. Create scalable and reusable training pipelines using Databricks notebooks and MLflow. Implementation and Optimisation LLMs (Large Language Models), RAGs, and AI agent systems for various business applications. Deployment & MLOps Operationalize models with robust CI/CD workflows. Deploy models usingMLflow, SageMaker, or custom APIs. Monitor production models for accuracy, drift, and latency; manage retraining schedules. Data Integration & Architecture Alignment Work closely with Data Engineering to align ML pipelines with the Bronze, Silver, Gold layers of a Medallion Architecture. Engineer high-quality features and maintain training/inference pipelines. Cloud and Platform Engineering Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions. Collaboration & Documentation Document ML artifacts, processes, and performance outcomes. Contribute to agile project ceremonies and maintain a feedback loop with stakeholders. Share knowledge and mentor junior team members. Required Skills: 5+ years of experience in ML Engineering or Applied Machine Learning. Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). Proficient with Databricks, MLflow, and PySpark. Solid understanding of model lifecycle and MLOps practices. Experience with AWS-based data infrastructure and related DevOps practices. Demonstrated ability to productionize models and integrate with business system Strong understanding of mathematics and statistics relevant to machine learning and AI. Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.). Solid background in software engineering principles and best practices. Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Experience with MLOps tools and workflows, particularly on AWS (SageMaker, Lambda, S3, etc.). Practical experience with LLMs, RAGs, and AI agent architectures. Proficiency with the Databricks platform for data engineering and ML pipelines. Advanced programming skills in Python. Excellent communication and teamwork abilities. Preferred Skills: Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real-time model interactions Business acumen and ability to align AI solutions with organizational goals. Optimize compute and storage resources for performance and cost-efficiency. Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Job DescriptionJob Description Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of something special! Role and Responsibilities Model Development Collaborate with data scientists and SMEs to develop ML models using curated datasets. Conduct experiments, prototypes, and proof-of-concepts to validate model performance. Create scalable and reusable training pipelines using Databricks notebooks and MLflow. Implementation and Optimisation LLMs (Large Language Models), RAGs, and AI agent systems for various business applications. Deployment & MLOps Operationalize models with robust CI/CD workflows. Deploy models usingMLflow, SageMaker, or custom APIs. Monitor production models for accuracy, drift, and latency; manage retraining schedules. Data Integration & Architecture Alignment Work closely with Data Engineering to align ML pipelines with the Bronze, Silver, Gold layers of a Medallion Architecture. Engineer high-quality features and maintain training/inference pipelines. Cloud and Platform Engineering Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions. Collaboration & Documentation Document ML artifacts, processes, and performance outcomes. Contribute to agile project ceremonies and maintain a feedback loop with stakeholders. Share knowledge and mentor junior team members. Required Skills: 5+ years of experience in ML Engineering or Applied Machine Learning. Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). Proficient with Databricks, MLflow, and PySpark. Solid understanding of model lifecycle and MLOps practices. Experience with AWS-based data infrastructure and related DevOps practices. Demonstrated ability to productionize models and integrate with business system Strong understanding of mathematics and statistics relevant to machine learning and AI. Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.). Solid background in software engineering principles and best practices. Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Experience with MLOps tools and workflows, particularly on AWS (SageMaker, Lambda, S3, etc.). Practical experience with LLMs, RAGs, and AI agent architectures. Proficiency with the Databricks platform for data engineering and ML pipelines. Advanced programming skills in Python. Excellent communication and teamwork abilities. Preferred Skills: Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real-time model interactions Business acumen and ability to align AI solutions with organizational goals. Optimize compute and storage resources for performance and cost-efficiency. Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
06/08/2026
Full time
Job DescriptionJob Description Halvik Corp delivers a wide range of services to 13 executive agencies and 15 independent agencies. Halvik is a highly successful WOB business with more than 50 prime contracts and 500+ professionals delivering Digital Services, Advanced Analytics, Artificial Intelligence/Machine Learning, Cyber Security and Cutting Edge Technology across the US Government. Be a part of something special! Role and Responsibilities Model Development Collaborate with data scientists and SMEs to develop ML models using curated datasets. Conduct experiments, prototypes, and proof-of-concepts to validate model performance. Create scalable and reusable training pipelines using Databricks notebooks and MLflow. Implementation and Optimisation LLMs (Large Language Models), RAGs, and AI agent systems for various business applications. Deployment & MLOps Operationalize models with robust CI/CD workflows. Deploy models usingMLflow, SageMaker, or custom APIs. Monitor production models for accuracy, drift, and latency; manage retraining schedules. Data Integration & Architecture Alignment Work closely with Data Engineering to align ML pipelines with the Bronze, Silver, Gold layers of a Medallion Architecture. Engineer high-quality features and maintain training/inference pipelines. Cloud and Platform Engineering Leverage AWS services including S3, EC2, Lambda, SageMaker, and Step Functions. Collaboration & Documentation Document ML artifacts, processes, and performance outcomes. Contribute to agile project ceremonies and maintain a feedback loop with stakeholders. Share knowledge and mentor junior team members. Required Skills: 5+ years of experience in ML Engineering or Applied Machine Learning. Strong Python skills and hands-on experience with ML libraries (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow). Proficient with Databricks, MLflow, and PySpark. Solid understanding of model lifecycle and MLOps practices. Experience with AWS-based data infrastructure and related DevOps practices. Demonstrated ability to productionize models and integrate with business system Strong understanding of mathematics and statistics relevant to machine learning and AI. Proven experience with machine learning models and algorithms (supervised, unsupervised, deep learning, etc.). Solid background in software engineering principles and best practices. Hands-on experience with model training frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Experience with MLOps tools and workflows, particularly on AWS (SageMaker, Lambda, S3, etc.). Practical experience with LLMs, RAGs, and AI agent architectures. Proficiency with the Databricks platform for data engineering and ML pipelines. Advanced programming skills in Python. Excellent communication and teamwork abilities. Preferred Skills: Experience building and deploying interactive UIs for AI models using Streamlit, Gradio, or similar frameworks for rapid prototyping and real-time model interactions Business acumen and ability to align AI solutions with organizational goals. Optimize compute and storage resources for performance and cost-efficiency. Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. Halvik Corp is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Halvik's pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
Job DescriptionJob Description Sr. Data Platform Engineer Job purpose summary Real Time's suite of Interventional Analytics solutions enables post-acute facilities to seamlessly collaborate with their partner hospitals, health systems, ACOs, and managed care plans to improve care, reduce costs, and achieve a level of interoperability. Real Time is seeking a Senior Data Platform Engineer with deep hands-on experience across AWS, Terraform, Python, PySpark, SQL Server, PostgreSQL, and C#. This role will focus on designing and optimizing cloud-native data solutions, driving performance and cost efficiency, and enabling large-scale migrations from legacy SQL Server systems to modern PostgreSQL-based architectures. The ideal candidate thrives in independent, dynamic environments, is comfortable shifting between multiple projects, and can balance long-term architecture with short-term deliverables. Duties and responsibilities Design, build, and optimize data pipelines (batch and streaming) using PySpark, Python, and SQL Lead and support SQL Server PostgreSQL migration efforts, including schema translation, performance tuning, and data validation Implement and maintain Terraform infrastructure for AWS services (S3, Glue, Lambda, EMR, Redshift, DMS, etc.) Conduct performance and cost optimization reviews of AWS workloads, recommending and implementing improvements Develop frameworks for data quality, monitoring, and reconciliation Collaborate with business stakeholders and other engineers to translate requirements into scalable solutions Apply software engineering best practices (version control, CI/CD, testing, code reviews) to data engineering workflows Contribute to standards, best practices, and technical mentorship across the team Participate in a rotating on-call schedule to provide production support, ensuring reliability of data platforms with minimal disruption to business operations Additional Duties and Responsibilities Maintain regular and punctual attendance. Any other assigned tasks Comply with all company policies and procedures. Qualifications 5+ years of professional experience in data engineering or software engineering roles Advanced skills with Python and PySpark for large-scale data processing Strong SQL development experience, including query tuning and ETL/ELT design Hands-on experience with AWS data services (S3, Glue, EMR, Lambda, DDB, DMS, CloudWatch, IAM, VPC) Experience with Terraform/Terragrunt (or equivalent IaC) for AWS infrastructure automation Familiarity with SQL Server and PostgreSQL, including database optimization and migration patterns Working knowledge of C# for application/data integrations Strong grasp of data modeling, architecture, and governance best practices Excellent problem-solving skills, ability to self-manage, and comfort working in environments with changing priorities Bachelor's degree required Excellent verbal, written and presentation skills. Ability to thrive in a fast paced, deadline driven environment. AWS certification (Solutions Architect, Data Analytics, or DevOps) a plus Data visualization experience with Tableau, PowerBI, MicroStrategy, etc. also a plus Experience working in the healthcare industry a plus You must love what you do! You will be working with other talented and passionate individuals who enjoy working and solving problems together! Additional Qualifications Independent contributor who can also collaborate effectively in a remote environment Strong communication skills, both technical and business-oriented Comfortable balancing multiple priorities without losing quality Reliability and responsiveness when participating in the on-call rotation, with a proactive and calm approach to production issues Positive, solution-oriented mindset - able to tackle tasks with optimism Working conditions Position requires minimal amount of travel. Remote/Work from anywhere work environment within the United States. Physical requirements Remaining in a stationary position, often sitting for prolonged periods. Direct reports None Why you'll love it here: You'll be part of a team that helps save lives every day, and improves the lives of 100,000s of people! Competitive base salary Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer Job purpose summary Real Time's suite of Interventional Analytics solutions enables post-acute facilities to seamlessly collaborate with their partner hospitals, health systems, ACOs, and managed care plans to improve care, reduce costs, and achieve a level of interoperability. Real Time is seeking a Senior Data Platform Engineer with deep hands-on experience across AWS, Terraform, Python, PySpark, SQL Server, PostgreSQL, and C#. This role will focus on designing and optimizing cloud-native data solutions, driving performance and cost efficiency, and enabling large-scale migrations from legacy SQL Server systems to modern PostgreSQL-based architectures. The ideal candidate thrives in independent, dynamic environments, is comfortable shifting between multiple projects, and can balance long-term architecture with short-term deliverables. Duties and responsibilities Design, build, and optimize data pipelines (batch and streaming) using PySpark, Python, and SQL Lead and support SQL Server PostgreSQL migration efforts, including schema translation, performance tuning, and data validation Implement and maintain Terraform infrastructure for AWS services (S3, Glue, Lambda, EMR, Redshift, DMS, etc.) Conduct performance and cost optimization reviews of AWS workloads, recommending and implementing improvements Develop frameworks for data quality, monitoring, and reconciliation Collaborate with business stakeholders and other engineers to translate requirements into scalable solutions Apply software engineering best practices (version control, CI/CD, testing, code reviews) to data engineering workflows Contribute to standards, best practices, and technical mentorship across the team Participate in a rotating on-call schedule to provide production support, ensuring reliability of data platforms with minimal disruption to business operations Additional Duties and Responsibilities Maintain regular and punctual attendance. Any other assigned tasks Comply with all company policies and procedures. Qualifications 5+ years of professional experience in data engineering or software engineering roles Advanced skills with Python and PySpark for large-scale data processing Strong SQL development experience, including query tuning and ETL/ELT design Hands-on experience with AWS data services (S3, Glue, EMR, Lambda, DDB, DMS, CloudWatch, IAM, VPC) Experience with Terraform/Terragrunt (or equivalent IaC) for AWS infrastructure automation Familiarity with SQL Server and PostgreSQL, including database optimization and migration patterns Working knowledge of C# for application/data integrations Strong grasp of data modeling, architecture, and governance best practices Excellent problem-solving skills, ability to self-manage, and comfort working in environments with changing priorities Bachelor's degree required Excellent verbal, written and presentation skills. Ability to thrive in a fast paced, deadline driven environment. AWS certification (Solutions Architect, Data Analytics, or DevOps) a plus Data visualization experience with Tableau, PowerBI, MicroStrategy, etc. also a plus Experience working in the healthcare industry a plus You must love what you do! You will be working with other talented and passionate individuals who enjoy working and solving problems together! Additional Qualifications Independent contributor who can also collaborate effectively in a remote environment Strong communication skills, both technical and business-oriented Comfortable balancing multiple priorities without losing quality Reliability and responsiveness when participating in the on-call rotation, with a proactive and calm approach to production issues Positive, solution-oriented mindset - able to tackle tasks with optimism Working conditions Position requires minimal amount of travel. Remote/Work from anywhere work environment within the United States. Physical requirements Remaining in a stationary position, often sitting for prolonged periods. Direct reports None Why you'll love it here: You'll be part of a team that helps save lives every day, and improves the lives of 100,000s of people! Competitive base salary Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Real Time Medical Systems
Columbia, South Carolina
Job DescriptionJob Description Sr. Data Platform Engineer Job purpose summary Real Time's suite of Interventional Analytics solutions enables post-acute facilities to seamlessly collaborate with their partner hospitals, health systems, ACOs, and managed care plans to improve care, reduce costs, and achieve a level of interoperability. Real Time is seeking a Senior Data Platform Engineer with deep hands-on experience across AWS, Terraform, Python, PySpark, SQL Server, PostgreSQL, and C#. This role will focus on designing and optimizing cloud-native data solutions, driving performance and cost efficiency, and enabling large-scale migrations from legacy SQL Server systems to modern PostgreSQL-based architectures. The ideal candidate thrives in independent, dynamic environments, is comfortable shifting between multiple projects, and can balance long-term architecture with short-term deliverables. Duties and responsibilities Design, build, and optimize data pipelines (batch and streaming) using PySpark, Python, and SQL Lead and support SQL Server PostgreSQL migration efforts, including schema translation, performance tuning, and data validation Implement and maintain Terraform infrastructure for AWS services (S3, Glue, Lambda, EMR, Redshift, DMS, etc.) Conduct performance and cost optimization reviews of AWS workloads, recommending and implementing improvements Develop frameworks for data quality, monitoring, and reconciliation Collaborate with business stakeholders and other engineers to translate requirements into scalable solutions Apply software engineering best practices (version control, CI/CD, testing, code reviews) to data engineering workflows Contribute to standards, best practices, and technical mentorship across the team Participate in a rotating on-call schedule to provide production support, ensuring reliability of data platforms with minimal disruption to business operations Additional Duties and Responsibilities Maintain regular and punctual attendance. Any other assigned tasks Comply with all company policies and procedures. Qualifications 5+ years of professional experience in data engineering or software engineering roles Advanced skills with Python and PySpark for large-scale data processing Strong SQL development experience, including query tuning and ETL/ELT design Hands-on experience with AWS data services (S3, Glue, EMR, Lambda, DDB, DMS, CloudWatch, IAM, VPC) Experience with Terraform/Terragrunt (or equivalent IaC) for AWS infrastructure automation Familiarity with SQL Server and PostgreSQL, including database optimization and migration patterns Working knowledge of C# for application/data integrations Strong grasp of data modeling, architecture, and governance best practices Excellent problem-solving skills, ability to self-manage, and comfort working in environments with changing priorities Bachelor's degree required Excellent verbal, written and presentation skills. Ability to thrive in a fast paced, deadline driven environment. AWS certification (Solutions Architect, Data Analytics, or DevOps) a plus Data visualization experience with Tableau, PowerBI, MicroStrategy, etc. also a plus Experience working in the healthcare industry a plus You must love what you do! You will be working with other talented and passionate individuals who enjoy working and solving problems together! Additional Qualifications Independent contributor who can also collaborate effectively in a remote environment Strong communication skills, both technical and business-oriented Comfortable balancing multiple priorities without losing quality Reliability and responsiveness when participating in the on-call rotation, with a proactive and calm approach to production issues Positive, solution-oriented mindset - able to tackle tasks with optimism Working conditions Position requires minimal amount of travel. Remote/Work from anywhere work environment within the United States. Physical requirements Remaining in a stationary position, often sitting for prolonged periods. Direct reports None Why you'll love it here: You'll be part of a team that helps save lives every day, and improves the lives of 100,000s of people! Competitive base salary Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
06/08/2026
Full time
Job DescriptionJob Description Sr. Data Platform Engineer Job purpose summary Real Time's suite of Interventional Analytics solutions enables post-acute facilities to seamlessly collaborate with their partner hospitals, health systems, ACOs, and managed care plans to improve care, reduce costs, and achieve a level of interoperability. Real Time is seeking a Senior Data Platform Engineer with deep hands-on experience across AWS, Terraform, Python, PySpark, SQL Server, PostgreSQL, and C#. This role will focus on designing and optimizing cloud-native data solutions, driving performance and cost efficiency, and enabling large-scale migrations from legacy SQL Server systems to modern PostgreSQL-based architectures. The ideal candidate thrives in independent, dynamic environments, is comfortable shifting between multiple projects, and can balance long-term architecture with short-term deliverables. Duties and responsibilities Design, build, and optimize data pipelines (batch and streaming) using PySpark, Python, and SQL Lead and support SQL Server PostgreSQL migration efforts, including schema translation, performance tuning, and data validation Implement and maintain Terraform infrastructure for AWS services (S3, Glue, Lambda, EMR, Redshift, DMS, etc.) Conduct performance and cost optimization reviews of AWS workloads, recommending and implementing improvements Develop frameworks for data quality, monitoring, and reconciliation Collaborate with business stakeholders and other engineers to translate requirements into scalable solutions Apply software engineering best practices (version control, CI/CD, testing, code reviews) to data engineering workflows Contribute to standards, best practices, and technical mentorship across the team Participate in a rotating on-call schedule to provide production support, ensuring reliability of data platforms with minimal disruption to business operations Additional Duties and Responsibilities Maintain regular and punctual attendance. Any other assigned tasks Comply with all company policies and procedures. Qualifications 5+ years of professional experience in data engineering or software engineering roles Advanced skills with Python and PySpark for large-scale data processing Strong SQL development experience, including query tuning and ETL/ELT design Hands-on experience with AWS data services (S3, Glue, EMR, Lambda, DDB, DMS, CloudWatch, IAM, VPC) Experience with Terraform/Terragrunt (or equivalent IaC) for AWS infrastructure automation Familiarity with SQL Server and PostgreSQL, including database optimization and migration patterns Working knowledge of C# for application/data integrations Strong grasp of data modeling, architecture, and governance best practices Excellent problem-solving skills, ability to self-manage, and comfort working in environments with changing priorities Bachelor's degree required Excellent verbal, written and presentation skills. Ability to thrive in a fast paced, deadline driven environment. AWS certification (Solutions Architect, Data Analytics, or DevOps) a plus Data visualization experience with Tableau, PowerBI, MicroStrategy, etc. also a plus Experience working in the healthcare industry a plus You must love what you do! You will be working with other talented and passionate individuals who enjoy working and solving problems together! Additional Qualifications Independent contributor who can also collaborate effectively in a remote environment Strong communication skills, both technical and business-oriented Comfortable balancing multiple priorities without losing quality Reliability and responsiveness when participating in the on-call rotation, with a proactive and calm approach to production issues Positive, solution-oriented mindset - able to tackle tasks with optimism Working conditions Position requires minimal amount of travel. Remote/Work from anywhere work environment within the United States. Physical requirements Remaining in a stationary position, often sitting for prolonged periods. Direct reports None Why you'll love it here: You'll be part of a team that helps save lives every day, and improves the lives of 100,000s of people! Competitive base salary Ongoing training and coaching for career development Comprehensive medical, dental and vision coverage with significant company contribution Disability insurance 401(k) retirement savings program Powered by JazzHR Zsr7qXsvji
Job DescriptionJob DescriptionBelay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021! Belay Technologies is seeking a Database Engineer to join our intel team. The selected individual will support a complex system with exacting interface, performance, and security requirements, and will provide database engineering expertise in one or more of the following areas: architecture, design, development, requirements analysis, data flow, network design/implementation, testing, and documentation. She/he will analyze user requirements and system requirements specifications and will develop system architecture and system design documentation. She/he will support the development of system configuration documentation, including designs for capacity and performance planning. The selected individual will perform database engineering activities to include risk assessments and analyses of alternatives for a variety of system related issues and concerns. She/he will provide solutions to challenging technical problems in distributed data replication, concurrent data access, and high availability. Primary Responsibilities: The selected individual will provide guidance and support for database engineering of large-scale systems, major system elements, and interfacing systems that are part of a large complex network environment with geographically distributed components. She/he will interface with technical managers, system and software integration engineers, test engineers, information assurance engineers, and other project team members in an Agile environment. The selected candidate will be responsible for implementing database engineering practices to ensure the proper degree of engineering rigor is applied to all assigned tasks. She/he will be responsible for communicating with and effectively collaborating with internal technical professionals on a day-to-day basis, and with POCs from customer organizations when necessary. The selected individual will actively participate in Program Increment Planning and related Agile team activities. Assigned duties may include: Supporting database design, development, implementation, information storage and retrieval, data flow, and analysis activities. Supporting the analysis and evaluation of system improvements, optimization, development, and/or maintenance efforts. Supporting the development of long-term and short-term requirements for database administration and design. Assisting in developing databases, database parser software, and database loading software. Translating requirements and data into usable database schemas by creating or recreating ad hoc queries, scripts and macros, making updates to existing queries, and creating new queries to manipulate data into a master file. Assisting in the development of database structures that fit into the overall architecture of the system under development. Developing requirement recommendations from a project's inception to its conclusion for a particular Business and IT subject matter area (i.e. simple to complex systems). Developing database structures that fit into the overall architecture of the system under development. Candidates should have the following qualifications: TS/SCI Clearance with polygraph Bachelor's degree in a technical discipline Experience with the Scaled Agile Framework (SAFe) methodology and/or as a member of an Agile team Experience with Cassandra Experience with MongoDB Basic Qualifications: Must have at least 10 years of high-level, in-depth, dedicated database experience. Must have in-depth experience as a Database Administrator to include proficiency in tasks such as data migration, data replication, user administration, backup and recovery, performance tuning, issue investigation, issue resolution, and general administration. Must have a solid understanding of databases, primarily Oracle and/or other relational and non-relational/NoSQL databases such as PostgreSQL and MongoDB. Must have experience using Oracle SQL/PLSQL, and SQL in general. Must have experience scripting with JavaScript, Bash/Linux shell scripting (in general), Perl, and/or Python. Must have knowledge of programming languages to include Java. Must be committed to adopting and adhering to best practices. Must be able to effectively plan and prioritize tasking. Must be capable of performing high quality work both independently, and with a team, in a fast-moving environment. Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program 10% matching in 401(k) contributions vested on day one $5,000 annual training/tuition Student Loan Repayment Program 100% company-funded HSA Rich medical coverage (100% coinsurance) Dental coverage including orthodontia Up to $420,000 in life insurance, premiums 100% company funded Amazon Prime, gym reimbursement, monthly lunches, games and prizes Pet adoption program, generous referral bonus program, fun events, and more! At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development. Salary Range Mid-Level: $105,000 to $200,000 Senior Level: $168,000 to $240,000 Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by JazzHR AB5uiXKMFB
06/08/2026
Full time
Job DescriptionJob DescriptionBelay Technologies has been voted Baltimore Business Journal's (BBJ) Best Places to Work 2019, runner up in 2020 and a finalist in 2021! Belay Technologies is seeking a Database Engineer to join our intel team. The selected individual will support a complex system with exacting interface, performance, and security requirements, and will provide database engineering expertise in one or more of the following areas: architecture, design, development, requirements analysis, data flow, network design/implementation, testing, and documentation. She/he will analyze user requirements and system requirements specifications and will develop system architecture and system design documentation. She/he will support the development of system configuration documentation, including designs for capacity and performance planning. The selected individual will perform database engineering activities to include risk assessments and analyses of alternatives for a variety of system related issues and concerns. She/he will provide solutions to challenging technical problems in distributed data replication, concurrent data access, and high availability. Primary Responsibilities: The selected individual will provide guidance and support for database engineering of large-scale systems, major system elements, and interfacing systems that are part of a large complex network environment with geographically distributed components. She/he will interface with technical managers, system and software integration engineers, test engineers, information assurance engineers, and other project team members in an Agile environment. The selected candidate will be responsible for implementing database engineering practices to ensure the proper degree of engineering rigor is applied to all assigned tasks. She/he will be responsible for communicating with and effectively collaborating with internal technical professionals on a day-to-day basis, and with POCs from customer organizations when necessary. The selected individual will actively participate in Program Increment Planning and related Agile team activities. Assigned duties may include: Supporting database design, development, implementation, information storage and retrieval, data flow, and analysis activities. Supporting the analysis and evaluation of system improvements, optimization, development, and/or maintenance efforts. Supporting the development of long-term and short-term requirements for database administration and design. Assisting in developing databases, database parser software, and database loading software. Translating requirements and data into usable database schemas by creating or recreating ad hoc queries, scripts and macros, making updates to existing queries, and creating new queries to manipulate data into a master file. Assisting in the development of database structures that fit into the overall architecture of the system under development. Developing requirement recommendations from a project's inception to its conclusion for a particular Business and IT subject matter area (i.e. simple to complex systems). Developing database structures that fit into the overall architecture of the system under development. Candidates should have the following qualifications: TS/SCI Clearance with polygraph Bachelor's degree in a technical discipline Experience with the Scaled Agile Framework (SAFe) methodology and/or as a member of an Agile team Experience with Cassandra Experience with MongoDB Basic Qualifications: Must have at least 10 years of high-level, in-depth, dedicated database experience. Must have in-depth experience as a Database Administrator to include proficiency in tasks such as data migration, data replication, user administration, backup and recovery, performance tuning, issue investigation, issue resolution, and general administration. Must have a solid understanding of databases, primarily Oracle and/or other relational and non-relational/NoSQL databases such as PostgreSQL and MongoDB. Must have experience using Oracle SQL/PLSQL, and SQL in general. Must have experience scripting with JavaScript, Bash/Linux shell scripting (in general), Perl, and/or Python. Must have knowledge of programming languages to include Java. Must be committed to adopting and adhering to best practices. Must be able to effectively plan and prioritize tasking. Must be capable of performing high quality work both independently, and with a team, in a fast-moving environment. Perks and Benefits: 8 weeks paid leave - 4 weeks of personal leave, 3 Yay! days, take off on your birthday,11 paid holidays and optional leave up to 6 days through Belay's volunteer program 10% matching in 401(k) contributions vested on day one $5,000 annual training/tuition Student Loan Repayment Program 100% company-funded HSA Rich medical coverage (100% coinsurance) Dental coverage including orthodontia Up to $420,000 in life insurance, premiums 100% company funded Amazon Prime, gym reimbursement, monthly lunches, games and prizes Pet adoption program, generous referral bonus program, fun events, and more! At Belay, we are committed to creating an environment where you can thrive both professionally and personally. We believe in transparency and fairness in compensation. Several factors influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, education, specific skills and competencies and certifications. Belay offers a competitive total compensation package that includes benefits and perks, a flexible work-life balance, and career development. Salary Range Mid-Level: $105,000 to $200,000 Senior Level: $168,000 to $240,000 Veteran-Owned Small Business located in Columbia, Maryland (Baltimore/Washington area). Belay Technologies specializes in systems automation and full stack development. Belay Technologies provides leading technology and engineering solutions to the DoD, as well as state-of-the-art commercial products. We hire software engineers, web designers, test engineers, systems engineers, systems administrators, database engineers and other tech services. We are an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. Powered by JazzHR AB5uiXKMFB
Job DescriptionJob Description Pointer Technologies is seeking a talented Data Flow and ETL Engineer to design, implement, and maintain robust data pipelines and ETL processes. You will play a critical role in transforming raw data into actionable insights by ensuring data quality, integrity, and accessibility. The ideal candidate has a strong background in data engineering, a passion for optimization, and a commitment to delivering scalable and reliable data solutions. This person is diligent, works well with others, inspired to learn, driven by mission and practices effective communication. Responsibilities Design, develop, and maintain data pipelines and ETL workflows to support analytics and mission operations. Build systems to collect, process, and store structured and unstructured data from various sources. Collaborate with data scientists, analysts, and software engineers to understand data needs and ensure smooth data delivery. Optimize data flows for performance, scalability, and reliability. Monitor and troubleshoot data pipeline performance, resolving issues promptly. Ensure data quality and integrity through robust validation and error-handling mechanisms. Stay up-to-date with the latest ETL tools, data integration techniques, and best practices. Requirements Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Proficiency in ETL tools such as Apache NiFi. Strong programming skills in Python, Java, or Scala. Experience with SQL and working with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Solid understanding of data modeling, schema design, and data warehousing concepts. Nice To Have Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Knowledge of streaming data platforms such as Apache Flink or AWS Kinesis. Hands-on experience with data visualization tools like Tableau or Power BI. Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) for automating data pipeline deployments. Clearance TS/SCI clearance with polygraph required About Us Pointer Technologies is Mission Forward and Employee Owned. We leverage talented engineers and effective technologies to drive success in our nation's National Security and Intelligence missions. We enable our nation to be capable, modernized, and anticipatory for the fight ahead - seen or unseen. Here are some of our core values: Employee Ownership At Pointer Technologies, all employees are eligible to be granted stock, making them a shareholder in the business. We want our employees to be as invested in our success as we are in theirs, and we believe that generously giving our employees a piece of the pie will encourage this. At Pointer, our employees are not only the foundation of our success - they get to share in our success. Transparency Since every employee at Pointer Technologies is a shareholder, we have an open book policy with our team. We hold quarterly all hands meetings where the business reports its contracts portfolio, growth strategy, and even financial health and projections with all employees. Talent At Pointer Technologies we don't just hire anybody - top tier talent is part of our brand. New candidates will face technical screenings to verify that they uphold our technical standards. Anybody who is offered a position at Pointer can know that they have earned the right to be a part of our team. Meaningful Work At Pointer Technologies we support work that is impactful to our nation's National Security and Intelligence missions. Every single member of the Pointer Technologies team takes pride in knowing that the work that they do matters, and that it is making a positive and meaningful impact on our success as a nation. Benefits Health Insurance through Blue Cross Blue Shield Dental, vision, long-term & short-term disability and life insurance 10% 401K matching with immediate vesting 248 hours of PTO with the ability to flex higher or lower Education and training budget of $5,250 Paid military leave Paid maternity leave Internal referral profit sharing Employee Equity Program Quarterly all hands to promote transparency Paid company lunches Culture building events and parties The best company swag around Learn more and find additional details on our benefits page. Pointer Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other state or federal legally protected status. Powered by JazzHR 4tfQ8RQTd8
06/08/2026
Full time
Job DescriptionJob Description Pointer Technologies is seeking a talented Data Flow and ETL Engineer to design, implement, and maintain robust data pipelines and ETL processes. You will play a critical role in transforming raw data into actionable insights by ensuring data quality, integrity, and accessibility. The ideal candidate has a strong background in data engineering, a passion for optimization, and a commitment to delivering scalable and reliable data solutions. This person is diligent, works well with others, inspired to learn, driven by mission and practices effective communication. Responsibilities Design, develop, and maintain data pipelines and ETL workflows to support analytics and mission operations. Build systems to collect, process, and store structured and unstructured data from various sources. Collaborate with data scientists, analysts, and software engineers to understand data needs and ensure smooth data delivery. Optimize data flows for performance, scalability, and reliability. Monitor and troubleshoot data pipeline performance, resolving issues promptly. Ensure data quality and integrity through robust validation and error-handling mechanisms. Stay up-to-date with the latest ETL tools, data integration techniques, and best practices. Requirements Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Proficiency in ETL tools such as Apache NiFi. Strong programming skills in Python, Java, or Scala. Experience with SQL and working with relational databases (e.g., PostgreSQL, MySQL, SQL Server). Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Solid understanding of data modeling, schema design, and data warehousing concepts. Nice To Have Experience with big data technologies (e.g., Hadoop, Spark, Kafka). Knowledge of streaming data platforms such as Apache Flink or AWS Kinesis. Hands-on experience with data visualization tools like Tableau or Power BI. Familiarity with infrastructure-as-code tools (e.g., Terraform, Ansible) for automating data pipeline deployments. Clearance TS/SCI clearance with polygraph required About Us Pointer Technologies is Mission Forward and Employee Owned. We leverage talented engineers and effective technologies to drive success in our nation's National Security and Intelligence missions. We enable our nation to be capable, modernized, and anticipatory for the fight ahead - seen or unseen. Here are some of our core values: Employee Ownership At Pointer Technologies, all employees are eligible to be granted stock, making them a shareholder in the business. We want our employees to be as invested in our success as we are in theirs, and we believe that generously giving our employees a piece of the pie will encourage this. At Pointer, our employees are not only the foundation of our success - they get to share in our success. Transparency Since every employee at Pointer Technologies is a shareholder, we have an open book policy with our team. We hold quarterly all hands meetings where the business reports its contracts portfolio, growth strategy, and even financial health and projections with all employees. Talent At Pointer Technologies we don't just hire anybody - top tier talent is part of our brand. New candidates will face technical screenings to verify that they uphold our technical standards. Anybody who is offered a position at Pointer can know that they have earned the right to be a part of our team. Meaningful Work At Pointer Technologies we support work that is impactful to our nation's National Security and Intelligence missions. Every single member of the Pointer Technologies team takes pride in knowing that the work that they do matters, and that it is making a positive and meaningful impact on our success as a nation. Benefits Health Insurance through Blue Cross Blue Shield Dental, vision, long-term & short-term disability and life insurance 10% 401K matching with immediate vesting 248 hours of PTO with the ability to flex higher or lower Education and training budget of $5,250 Paid military leave Paid maternity leave Internal referral profit sharing Employee Equity Program Quarterly all hands to promote transparency Paid company lunches Culture building events and parties The best company swag around Learn more and find additional details on our benefits page. Pointer Technologies is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other state or federal legally protected status. Powered by JazzHR 4tfQ8RQTd8
Job DescriptionJob DescriptionJob SummaryLocation: 100% Remote - U.S. Time Zones ONLY Commitment: Part-Time / Independent Contractor (1099) Position Type: Hourly/Contractor Direct (No Agencies) The Data Engineer is responsible for creating and maintaining the analytical infrastructure that enables the majority of functions in the data world. They are responsible for the testing, maintenance, construction and development of architectures such as large scale processing systems and databases. As part of this, they are also responsible for creating data set processes for verification, acquisition, mining and modeling. DetailsPrimary Responsibilities: Consult with Engineering Manager and Architect in System architecture, and approaches. Engineer the implementation of defined database services for SQL and NoSQL data stores, including database platforms and schemas according to applicable best practices and standards. Establish and implement standards and processes to ensure optimum performance of data storage services. KPIs, targets, and tooling to measure data services and third-party service performance related to the application. Documentation; including actual architecture of deployed services, logging, monitoring and support components, etc. Identify and document design decision points, propose approaches, and communicate for review and clarification. Establish and provide tooling for ETL processes to maintain data store performance. Participate in the development of documentation. Ensure compliance, reliability, and performance of implemented data services through code review, database performance testing, adherence to architecture standards, implementation of best practices, and timely communication of identified issues. Ensuring adherence to application architecture, system standards, and practices. Database performance testing. And timely communication of identified issues to reduce potential cost risks. Assist the PM with communications with clients and cross-functional departments to communicate project statuses and proposals. Assist in root cause analysis for identified performance issues. Communicating key project data to team members and building cohesion among teams. Developing and executing project plans and tasks as assigned. General Responsibilities: Provide Tier 3 Support for escalation from Operations, as assigned. Engage Third-Party Service Providers as necessary to resolve systemic issues. Document best practices, system standards, and standard operating procedures. Developing and coordinating data services performance validation and testing methods. Establish, document, and communicate initial approaches to new data service challenges. Manage system utilization to KPIs including, analyzing performance data to effectively coordinate the adjustments to the database services. Support Change Management Process through contribution in required Change Documentation and CAB Participation as Requested. Work with other Tier 3 teams in the development, documentation and maintenance of the software development lifecycle. Ensure implementation of components to provide effective monitoring of data services performance. Maintain understanding of emerging technologies applicable to our current and planned products and services. Proposing and implementing innovative solutions to meet our company's current and anticipated technical needs. Play a key role in shaping the future of our solutions and services. Education and Experience Required Qualifications: Bachelor's degree in Computer Science or a related field 2+ years experience in a network administration role Previous experience with Microsoft Windows Server 2008, 2012, and 2016 preferred Previous experience with Cisco switches and routers preferred MCSE certification a plus CISSP, CCNA, or CCNP certification a plus Other Qualifications: Must have excellent communication and teamwork skills. This role is fully remote; must have a reliable internet connection and a suitable workspace. This role requires availability during standard business hours (Monday-Friday, 8:00 - 5:00 ). You must be available to dedicate 20+ hours a week, when required, during these hours. Must complete a skills assessment to qualify for the position. Must be able to communicate in English. You'll be expected to provide regular updates on your work via our PM tool as well as our twice-weekly Scrum calls. No agencies will be considered.
06/08/2026
Full time
Job DescriptionJob DescriptionJob SummaryLocation: 100% Remote - U.S. Time Zones ONLY Commitment: Part-Time / Independent Contractor (1099) Position Type: Hourly/Contractor Direct (No Agencies) The Data Engineer is responsible for creating and maintaining the analytical infrastructure that enables the majority of functions in the data world. They are responsible for the testing, maintenance, construction and development of architectures such as large scale processing systems and databases. As part of this, they are also responsible for creating data set processes for verification, acquisition, mining and modeling. DetailsPrimary Responsibilities: Consult with Engineering Manager and Architect in System architecture, and approaches. Engineer the implementation of defined database services for SQL and NoSQL data stores, including database platforms and schemas according to applicable best practices and standards. Establish and implement standards and processes to ensure optimum performance of data storage services. KPIs, targets, and tooling to measure data services and third-party service performance related to the application. Documentation; including actual architecture of deployed services, logging, monitoring and support components, etc. Identify and document design decision points, propose approaches, and communicate for review and clarification. Establish and provide tooling for ETL processes to maintain data store performance. Participate in the development of documentation. Ensure compliance, reliability, and performance of implemented data services through code review, database performance testing, adherence to architecture standards, implementation of best practices, and timely communication of identified issues. Ensuring adherence to application architecture, system standards, and practices. Database performance testing. And timely communication of identified issues to reduce potential cost risks. Assist the PM with communications with clients and cross-functional departments to communicate project statuses and proposals. Assist in root cause analysis for identified performance issues. Communicating key project data to team members and building cohesion among teams. Developing and executing project plans and tasks as assigned. General Responsibilities: Provide Tier 3 Support for escalation from Operations, as assigned. Engage Third-Party Service Providers as necessary to resolve systemic issues. Document best practices, system standards, and standard operating procedures. Developing and coordinating data services performance validation and testing methods. Establish, document, and communicate initial approaches to new data service challenges. Manage system utilization to KPIs including, analyzing performance data to effectively coordinate the adjustments to the database services. Support Change Management Process through contribution in required Change Documentation and CAB Participation as Requested. Work with other Tier 3 teams in the development, documentation and maintenance of the software development lifecycle. Ensure implementation of components to provide effective monitoring of data services performance. Maintain understanding of emerging technologies applicable to our current and planned products and services. Proposing and implementing innovative solutions to meet our company's current and anticipated technical needs. Play a key role in shaping the future of our solutions and services. Education and Experience Required Qualifications: Bachelor's degree in Computer Science or a related field 2+ years experience in a network administration role Previous experience with Microsoft Windows Server 2008, 2012, and 2016 preferred Previous experience with Cisco switches and routers preferred MCSE certification a plus CISSP, CCNA, or CCNP certification a plus Other Qualifications: Must have excellent communication and teamwork skills. This role is fully remote; must have a reliable internet connection and a suitable workspace. This role requires availability during standard business hours (Monday-Friday, 8:00 - 5:00 ). You must be available to dedicate 20+ hours a week, when required, during these hours. Must complete a skills assessment to qualify for the position. Must be able to communicate in English. You'll be expected to provide regular updates on your work via our PM tool as well as our twice-weekly Scrum calls. No agencies will be considered.
Job DescriptionJob DescriptionJob SummaryLocation: 100% Remote - U.S. Time Zones ONLY Commitment: Part-Time / Independent Contractor (1099) Position Type: Hourly/Contractor Direct (No Agencies) The Data Engineer is responsible for creating and maintaining the analytical infrastructure that enables the majority of functions in the data world. They are responsible for the testing, maintenance, construction and development of architectures such as large scale processing systems and databases. As part of this, they are also responsible for creating data set processes for verification, acquisition, mining and modeling. DetailsPrimary Responsibilities: Consult with Engineering Manager and Architect in System architecture, and approaches. Engineer the implementation of defined database services for SQL and NoSQL data stores, including database platforms and schemas according to applicable best practices and standards. Establish and implement standards and processes to ensure optimum performance of data storage services. KPIs, targets, and tooling to measure data services and third-party service performance related to the application. Documentation; including actual architecture of deployed services, logging, monitoring and support components, etc. Identify and document design decision points, propose approaches, and communicate for review and clarification. Establish and provide tooling for ETL processes to maintain data store performance. Participate in the development of documentation. Ensure compliance, reliability, and performance of implemented data services through code review, database performance testing, adherence to architecture standards, implementation of best practices, and timely communication of identified issues. Ensuring adherence to application architecture, system standards, and practices. Database performance testing. And timely communication of identified issues to reduce potential cost risks. Assist the PM with communications with clients and cross-functional departments to communicate project statuses and proposals. Assist in root cause analysis for identified performance issues. Communicating key project data to team members and building cohesion among teams. Developing and executing project plans and tasks as assigned. General Responsibilities: Provide Tier 3 Support for escalation from Operations, as assigned. Engage Third-Party Service Providers as necessary to resolve systemic issues. Document best practices, system standards, and standard operating procedures. Developing and coordinating data services performance validation and testing methods. Establish, document, and communicate initial approaches to new data service challenges. Manage system utilization to KPIs including, analyzing performance data to effectively coordinate the adjustments to the database services. Support Change Management Process through contribution in required Change Documentation and CAB Participation as Requested. Work with other Tier 3 teams in the development, documentation and maintenance of the software development lifecycle. Ensure implementation of components to provide effective monitoring of data services performance. Maintain understanding of emerging technologies applicable to our current and planned products and services. Proposing and implementing innovative solutions to meet our company's current and anticipated technical needs. Play a key role in shaping the future of our solutions and services. Education and Experience Required Qualifications: Bachelor's degree in Computer Science or a related field 2+ years experience in a network administration role Previous experience with Microsoft Windows Server 2008, 2012, and 2016 preferred Previous experience with Cisco switches and routers preferred MCSE certification a plus CISSP, CCNA, or CCNP certification a plus Other Qualifications: Must have excellent communication and teamwork skills. This role is fully remote; must have a reliable internet connection and a suitable workspace. This role requires availability during standard business hours (Monday-Friday, 8:00 - 5:00 ). You must be available to dedicate 20+ hours a week, when required, during these hours. Must complete a skills assessment to qualify for the position. Must be able to communicate in English. You'll be expected to provide regular updates on your work via our PM tool as well as our twice-weekly Scrum calls. No agencies will be considered.
06/08/2026
Full time
Job DescriptionJob DescriptionJob SummaryLocation: 100% Remote - U.S. Time Zones ONLY Commitment: Part-Time / Independent Contractor (1099) Position Type: Hourly/Contractor Direct (No Agencies) The Data Engineer is responsible for creating and maintaining the analytical infrastructure that enables the majority of functions in the data world. They are responsible for the testing, maintenance, construction and development of architectures such as large scale processing systems and databases. As part of this, they are also responsible for creating data set processes for verification, acquisition, mining and modeling. DetailsPrimary Responsibilities: Consult with Engineering Manager and Architect in System architecture, and approaches. Engineer the implementation of defined database services for SQL and NoSQL data stores, including database platforms and schemas according to applicable best practices and standards. Establish and implement standards and processes to ensure optimum performance of data storage services. KPIs, targets, and tooling to measure data services and third-party service performance related to the application. Documentation; including actual architecture of deployed services, logging, monitoring and support components, etc. Identify and document design decision points, propose approaches, and communicate for review and clarification. Establish and provide tooling for ETL processes to maintain data store performance. Participate in the development of documentation. Ensure compliance, reliability, and performance of implemented data services through code review, database performance testing, adherence to architecture standards, implementation of best practices, and timely communication of identified issues. Ensuring adherence to application architecture, system standards, and practices. Database performance testing. And timely communication of identified issues to reduce potential cost risks. Assist the PM with communications with clients and cross-functional departments to communicate project statuses and proposals. Assist in root cause analysis for identified performance issues. Communicating key project data to team members and building cohesion among teams. Developing and executing project plans and tasks as assigned. General Responsibilities: Provide Tier 3 Support for escalation from Operations, as assigned. Engage Third-Party Service Providers as necessary to resolve systemic issues. Document best practices, system standards, and standard operating procedures. Developing and coordinating data services performance validation and testing methods. Establish, document, and communicate initial approaches to new data service challenges. Manage system utilization to KPIs including, analyzing performance data to effectively coordinate the adjustments to the database services. Support Change Management Process through contribution in required Change Documentation and CAB Participation as Requested. Work with other Tier 3 teams in the development, documentation and maintenance of the software development lifecycle. Ensure implementation of components to provide effective monitoring of data services performance. Maintain understanding of emerging technologies applicable to our current and planned products and services. Proposing and implementing innovative solutions to meet our company's current and anticipated technical needs. Play a key role in shaping the future of our solutions and services. Education and Experience Required Qualifications: Bachelor's degree in Computer Science or a related field 2+ years experience in a network administration role Previous experience with Microsoft Windows Server 2008, 2012, and 2016 preferred Previous experience with Cisco switches and routers preferred MCSE certification a plus CISSP, CCNA, or CCNP certification a plus Other Qualifications: Must have excellent communication and teamwork skills. This role is fully remote; must have a reliable internet connection and a suitable workspace. This role requires availability during standard business hours (Monday-Friday, 8:00 - 5:00 ). You must be available to dedicate 20+ hours a week, when required, during these hours. Must complete a skills assessment to qualify for the position. Must be able to communicate in English. You'll be expected to provide regular updates on your work via our PM tool as well as our twice-weekly Scrum calls. No agencies will be considered.