65 jobs found in Oklahoma

About Operations Technology Solutions (OTS) Operations is at the heart of Amazon's business. We are known for our speed, accuracy, and exceptional service. Our buildings deliver tens of thousands of products to hundreds of countries worldwide, every day. OTS provides nonstop global IT support to Amazon Operations as a vital piece to the puzzle. We are looking for self-motivated individuals to take on new challenges and motivate teams in fostering solutions to the hurdles we face. Together, we take ownership for what we do - whether supporting IT infrastructure, developing new technology in-house, launching a new Amazon Operations facility, or delighting our customers by delivering packages directly to them. About the Role: As an IT Support Engineer II, you will use your technical knowledge and specialized skills to support, build, implement, and improve technology solutions across sites in a defined geographical area. You are able to manage large projects with minimal guidance that affect multiple locations in a region. You are able to resolve customer issues in time of crisis to get them working again. You are actively expanding your scope of knowledge by learning about software design patterns, data structures, AWS technologies and distributed systems concepts. What Do We Offer? Amazon offers competitive compensation packages including comprehensive healthcare benefits starting on Day 1, matching 401(k) program, and up to 20 weeks of paid parental leave. But wait there's more: we are a casual dress code at each of our locations (jeans, t-shirts, safety shoes and at times a neon safety vest will be your daily outfit). Key job responsibilities Responsibilities include, but are not limited to: - Troubleshooting difficult IT problems without SOPs Planning and coordinating CMs and CM templates. - Collaborating with internal teams or vendors to execute projects. - Leading continuous improvement efforts. - Auditing the quality of work performed and provide constructive feedback when necessary. - Automating manual tasks; create/improve small tools that help make team operations more efficient. - Serving as the first point of escalation. - Participating in hiring, training and development of others. - Supporting customers from multiple buildings in the area, as well as remote customers. - Traveling within your local or regional area to support our customers. BASIC QUALIFICATIONS - 3+ years of IT client, server, and network service delivery experience - 4+ years of IT systems or relevant commercial production environment experience - 4+ years of networking (such as DNS, DHCP, SSL, OSI Model, and TCP/IP) experience - 4+ years of Microsoft administration, Linux administration, or Cisco IOS (CLI) experience - 4+ years of troubleshooting in a multi-user high availability environment experience - 4+ years of PC repair, troubleshooting, deployment and liquidation experience - High school or equivalent diploma - Can carry/lift up to 50 lbs, stand/walk during shifts lasting up to 12 hours, and frequently push, pull, squat, bend and reach PREFERRED QUALIFICATIONS - 3+ years of supporting a windows server environment experience - Experience supporting video conference and teleconference equipment Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at . USA, OK, Tulsa - 60 300.00 USD annually

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

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.

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.

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 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.

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.

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

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 ️ 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).

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.

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 .

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 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.

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.

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.

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

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 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.

Job DescriptionJob DescriptionABOUT US:Dutch is transforming veterinary care by making expert treatment accessible anytime, anywhere. Our mission is simple: help every pet live their happiest, healthiest life by connecting pet parents with licensed vets through seamless virtual visits. We're the only veterinary telemedicine service that can diagnose, prescribe, and ship medications directly to customers - offering real relief and convenience for pets and their families. As one customer put it: "Dutch was the only site that would diagnose and prescribe meds as well as ship the meds." Backed by world-class investors including Forerunner Ventures, Eclipse Ventures, and Bling Capital, our team is made-up of successful startup founders (Hims, PlushCare, Nasty Gal) with expertise in scaling enterprises (TripAdvisor, Walmart). Featured in TechCrunch, Forbes, Wired, and Axios, Dutch is setting the standard for quality, accessibility, and compassion in pet care. The Role Dutch Pet, Inc. seeks a Front-end Engineer in Oakland, CA to build, maintain, and optimize digital platforms for virtual veterinary care and telemedicine. Design digital user interfaces and websites, and developing and testing layouts, interfaces, functionality, and navigation menus to ensure compatibility and usability across browsers or devices. Transform wireframes and design concepts into functional web applications using modern front-end technologies like JavaScript, HTML, and CSS. Develop and deploy different versions of a feature to determine which one performs better, using data to inform product decisions and drive conversions. Optimize applications for speed and performance, and ensure they are compatible across different browsers and devices. Build responsive storefronts using Shopify, Vue and Tailwind, and work with Shopify Storefront and Admin APIs, and Shopify Checkout UI Extensions. Work closely with back-end developers to integrate APIs and ensure data flows smoothly, as well as with UI/UX designers to implement design concepts that align with the brand. Keep up-to-date on new technologies and tools to bring innovative ideas to the company's products. May work at various unanticipated locations throughout U.S. May telecommute. Qualifications: Bachelor's degree (any) or foreign equivalent and one year of work experience in the job offered or as a Front-end Engineer, Front-end Developer, Web Developer or in related occupation. Position requires one year of experience in the following: Github: Experience with Git for version control, including branching, merging, and pull requests in a collaborative environment. Javascript: Strong command of modern JavaScript (ES6+), including asynchronous programming and core language features. TypeScript: Practical experience using TypeScript to build robust, scalable applications with strong typing. CSS: Proficient in modern CSS, responsive design, and preprocessors like Sass. Vue.js: experience building dynamic, component-based applications using Vue.js, including Vue Router, Vuex (or Pinia), and single-file components. Shopify: Hands-on experience developing and customizing Shopify themes, Liquid templates, and apps, with integration of third-party plugins and APIs. Rest API: Experience integrating RESTful APIs into front-end applications, handling data fetching, authentication, and displaying dynamic content. GraphQL: Practical experience with GraphQL for efficient data fetching, including schema design and client-side integration. DUTCH'S GUIDING PRINCIPLES Pets First - business and medical decisions are always guided by the pet's best interest. We'll never compromise on pet health and we're all here because we care about their well-being Agile Like a Cat - We have a bias toward swift action, while maintaining quality and accuracy. For us, that means being able to turn on a dime, like a cat, analyze our options - even ones that may not be on the table - then execute without perfection getting in the way Creativity is our Catnip - Creativity feeds us and helps us push boundaries to always find better solutions, making the complex more accessible and easier to understand Be the Human Your Dog Thinks You Are - Be kind, show care for your colleagues, and even if you're an expert - give others context, reinforce the positive, and help them understand. 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 DescriptionABOUT US:Dutch is transforming veterinary care by making expert treatment accessible anytime, anywhere. Our mission is simple: help every pet live their happiest, healthiest life by connecting pet parents with licensed vets through seamless virtual visits. We're the only veterinary telemedicine service that can diagnose, prescribe, and ship medications directly to customers - offering real relief and convenience for pets and their families. As one customer put it: "Dutch was the only site that would diagnose and prescribe meds as well as ship the meds." Backed by world-class investors including Forerunner Ventures, Eclipse Ventures, and Bling Capital, our team is made-up of successful startup founders (Hims, PlushCare, Nasty Gal) with expertise in scaling enterprises (TripAdvisor, Walmart). Featured in TechCrunch, Forbes, Wired, and Axios, Dutch is setting the standard for quality, accessibility, and compassion in pet care. The Role Dutch Pet, Inc. seeks a Front-end Engineer in Oakland, CA to build, maintain, and optimize digital platforms for virtual veterinary care and telemedicine. Design digital user interfaces and websites, and developing and testing layouts, interfaces, functionality, and navigation menus to ensure compatibility and usability across browsers or devices. Transform wireframes and design concepts into functional web applications using modern front-end technologies like JavaScript, HTML, and CSS. Develop and deploy different versions of a feature to determine which one performs better, using data to inform product decisions and drive conversions. Optimize applications for speed and performance, and ensure they are compatible across different browsers and devices. Build responsive storefronts using Shopify, Vue and Tailwind, and work with Shopify Storefront and Admin APIs, and Shopify Checkout UI Extensions. Work closely with back-end developers to integrate APIs and ensure data flows smoothly, as well as with UI/UX designers to implement design concepts that align with the brand. Keep up-to-date on new technologies and tools to bring innovative ideas to the company's products. May work at various unanticipated locations throughout U.S. May telecommute. Qualifications: Bachelor's degree (any) or foreign equivalent and one year of work experience in the job offered or as a Front-end Engineer, Front-end Developer, Web Developer or in related occupation. Position requires one year of experience in the following: Github: Experience with Git for version control, including branching, merging, and pull requests in a collaborative environment. Javascript: Strong command of modern JavaScript (ES6+), including asynchronous programming and core language features. TypeScript: Practical experience using TypeScript to build robust, scalable applications with strong typing. CSS: Proficient in modern CSS, responsive design, and preprocessors like Sass. Vue.js: experience building dynamic, component-based applications using Vue.js, including Vue Router, Vuex (or Pinia), and single-file components. Shopify: Hands-on experience developing and customizing Shopify themes, Liquid templates, and apps, with integration of third-party plugins and APIs. Rest API: Experience integrating RESTful APIs into front-end applications, handling data fetching, authentication, and displaying dynamic content. GraphQL: Practical experience with GraphQL for efficient data fetching, including schema design and client-side integration. DUTCH'S GUIDING PRINCIPLES Pets First - business and medical decisions are always guided by the pet's best interest. We'll never compromise on pet health and we're all here because we care about their well-being Agile Like a Cat - We have a bias toward swift action, while maintaining quality and accuracy. For us, that means being able to turn on a dime, like a cat, analyze our options - even ones that may not be on the table - then execute without perfection getting in the way Creativity is our Catnip - Creativity feeds us and helps us push boundaries to always find better solutions, making the complex more accessible and easier to understand Be the Human Your Dog Thinks You Are - Be kind, show care for your colleagues, and even if you're an expert - give others context, reinforce the positive, and help them understand. 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 DescriptionAbout Pair Team Pair Team is building a new kind of healthcare system across Medicaid, Medicare, and public assistance programs: one that recognizes that access to housing, nutritious food, and reliable transportation are just as critical to health as having the right medications or seeing a doctor. As a public benefit corporation and AI-enabled medical group, we partner with shelters, food pantries, and community organizations to deliver "whole-person" care to the 115 million Americans who rely on the safety net. We are currently the largest complex care provider in California with over 500 employees and are expanding nationally. Our model replaces fragmented healthcare and social services systems with one trusted relationship for all medical, behavioral, and social needs. We improve access, build trust, and dramatically lower costs (52% fewer ER visits, 26% fewer hospitalizations). Our model is a rare combination of saving tax payer dollars ($150B annually at scale) while putting people on an upward life trajectory. At national scale, this approach would save taxpayers. These outcomes are driven by the AI-first, whole-person infrastructure we are building - a platform that connects healthcare and social-service organizations into a unified network. Leveraging our vast data and years of operational experience, we are building the agentic infrastructure for the safety net to coordinate care, automate operations, and learn from every patient interaction to continuously improve outcomes. Check out the AI-First Medicaid System we are building here. Forbes: For Pair Team, Accessibility Is About Delivering Healthcare To Those Who Need It The Most TechCrunch: Building for Medicaid's regulatory moment with Neil Batlivala from Pair Team Journal of General Internal Medicine: A Novel Intervention for Medicaid Beneficiaries with Complex Needs About the Role As a Staff AI Engineer, you will help design and build the architecture that enables this evolution, translating complex care processes into reliable, production-grade AI systems in close partnership with product and domain experts. What You'll Do Lead the design and evolution of agentic systems that participate directly in care delivery, helping coordinate care, engage patients, and execute meaningful portions of care workflows. Define and build architectural patterns for agent reasoning, tool use, memory, and human-in-the-loop collaboration. Develop both reusable platform capabilities and product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish standards and best practices for agent evaluation, safety, and operational reliability as these systems evolve toward greater autonomy Mentor engineers and influence technical direction across teams building agent-driven capabilities. Who You Are Systems-Oriented Technical Leader: You think in systems, not features. You make strong architectural decisions, navigate trade-offs effectively, and help shape technical direction across teams. Applied Agentic AI Builder: You've built production agentic AI systems that perform meaningful work. You understand agent behavior, tool orchestration, stateful workflows, and the realities of operating AI systems in production. Product-Minded Engineer: You work closely with product managers and domain experts to define problems and translate ambiguity into clear technical solutions. You care about outcomes, not just implementation. Strong Judgment in Ambiguity: You're comfortable operating in evolving problem spaces, balancing experimentation with reliability and knowing when to prioritize speed versus long-term investment. Data & Evaluation Driven: You use metrics, evaluation frameworks, and operational feedback to guide decisions and continuously improve system performance. Highly Autonomous Executor: You take ownership of complex problem spaces end-to-end, balancing speed with engineering rigor and iterating effectively based on real-world feedback. What You'll Need 6+ years of experience building and shipping production software systems, including experience operating at a Staff or Principal IC level and driving technical direction across complex systems Proven experience building and scaling multi-agent or agent-driven systems in production and real-world operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience designing scalable, reliable systems and handling infrastructure, performance, failure modes, cost, and deployment concerns. Clear agentic evaluation mindset, including automated evals, simulation-based testing, regression frameworks, metrics design, and continuous improvement loops. Firsthand experience addressing performance and reliability of scaled agentic systems. AI-native builder with high velocity and ownership, demonstrating intellectual curiosity, rapid adoption of new tools, bias to action, and the ability to drive ambiguous problems from concept to production. Strong cross-functional collaborator and communicator, able to partner with Product, Operations, and domain experts to deliver end-to-end systems with measurable real-world impact. Force-multiplier technical leader, raising the bar for clarity of thinking, system design standards, and team execution. Nice to Have (Not Required) Experience building conversational or voice-driven systems (e.g., speech pipelines, telephony integrations, or real-time conversational workflows). Experience working in healthcare or other regulated or high-stakes domains. Our Values Lead with integrity: We keep our commitments and take responsibility for our actions. We are dependable and choose authenticity over perfection. Embrace challenges: We leave our egos at the door and step forward into discomfort instead of back into safety. We help each other to learn and provide feedback using candor and kindness. Break through walls: We go the extra mile for our patients, partners and one another, and we run toward hard things. We are resilient in our push for consistent improvement and challenge the status quo. Act beyond yourself: We build each other up and respect boundaries. We seek first to understand and assume positive intent. Care comes first: We hold ourselves to the highest standards for our patients. We are relentless in the pursuit of our mission, and ensure that we are taking care of ourselves in order to care for others. Because We Value You Competitive salary: $210,000 - 235,000 Equity compensation package Flexible vacation policy - take the time you need to recharge Comprehensive medical, dental, and vision coverage 401(k) 100% company-sponsored short and long-term disability and life insurance Subsidized backup childcare and caregiver supports through Wellthy Work entirely from the comfort of your own home Monthly $100 work from home expense stipend We provide the equipment needed for the role Opportunity for rapid career progression with plenty of room for personal growth! Travel reimbursements for any company retreats or leadership offsites Pair Team is an Equal Opportunity Employer. At Pair Team, we value diversity and strive to provide an inclusive environment for all applicants and employees. All applicants will be considered without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, marital status, age, disability, political affiliation, military service, genetic information, or any other characteristic covered by federal, state, or local law. Pair Team participates in E-Verify to verify employment eligibility for new hires. Any offer of employment at Pair Team is conditioned upon passing a pre-employment background check. Following a conditional job offer, candidates will undergo comprehensive employment background checks, including; criminal history, reference checks, and driving records if a role requires vehicle use. We do not conduct any TA business outside of emails. If you're ever concerned about spam or fraudulent activity, please reach out to . Note: Please be aware that while we sincerely appreciate your interest, due to the high volume of requests, we're unable to respond to general position inquiries via email. To apply for a position with us, please submit your application for the role you are interested in. Our team regularly reviews applications and will reach out to candidates whose qualifications align with our current openings listed below. Thank you!

Job DescriptionJob DescriptionAbout Pair Team Pair Team is building a new kind of healthcare system across Medicaid, Medicare, and public assistance programs: one that recognizes that access to housing, nutritious food, and reliable transportation are just as critical to health as having the right medications or seeing a doctor. As a public benefit corporation and AI-enabled medical group, we partner with shelters, food pantries, and community organizations to deliver "whole-person" care to the 115 million Americans who rely on the safety net. We are currently the largest complex care provider in California with over 500 employees and are expanding nationally. Our model replaces fragmented healthcare and social services systems with one trusted relationship for all medical, behavioral, and social needs. We improve access, build trust, and dramatically lower costs (52% fewer ER visits, 26% fewer hospitalizations). Our model is a rare combination of saving tax payer dollars ($150B annually at scale) while putting people on an upward life trajectory. At national scale, this approach would save taxpayers. These outcomes are driven by the AI-first, whole-person infrastructure we are building - a platform that connects healthcare and social-service organizations into a unified network. Leveraging our vast data and years of operational experience, we are building the agentic infrastructure for the safety net to coordinate care, automate operations, and learn from every patient interaction to continuously improve outcomes. Check out the AI-First Medicaid System we are building here. Forbes: For Pair Team, Accessibility Is About Delivering Healthcare To Those Who Need It The Most TechCrunch: Building for Medicaid's regulatory moment with Neil Batlivala from Pair Team Journal of General Internal Medicine: A Novel Intervention for Medicaid Beneficiaries with Complex Needs About the Role As a Staff AI Engineer, you will help design and build the architecture that enables this evolution, translating complex care processes into reliable, production-grade AI systems in close partnership with product and domain experts. What You'll Do Lead the design and evolution of agentic systems that participate directly in care delivery, helping coordinate care, engage patients, and execute meaningful portions of care workflows. Define and build architectural patterns for agent reasoning, tool use, memory, and human-in-the-loop collaboration. Develop both reusable platform capabilities and product-facing implementations, balancing long-term architecture with rapid iteration. Own complex problem spaces end-to-end - from system design and implementation through observability, evaluation, and continuous improvement in production. Partner closely with product managers, operators, and domain experts to translate complex real-world processes into reliable agent behavior. Establish standards and best practices for agent evaluation, safety, and operational reliability as these systems evolve toward greater autonomy Mentor engineers and influence technical direction across teams building agent-driven capabilities. Who You Are Systems-Oriented Technical Leader: You think in systems, not features. You make strong architectural decisions, navigate trade-offs effectively, and help shape technical direction across teams. Applied Agentic AI Builder: You've built production agentic AI systems that perform meaningful work. You understand agent behavior, tool orchestration, stateful workflows, and the realities of operating AI systems in production. Product-Minded Engineer: You work closely with product managers and domain experts to define problems and translate ambiguity into clear technical solutions. You care about outcomes, not just implementation. Strong Judgment in Ambiguity: You're comfortable operating in evolving problem spaces, balancing experimentation with reliability and knowing when to prioritize speed versus long-term investment. Data & Evaluation Driven: You use metrics, evaluation frameworks, and operational feedback to guide decisions and continuously improve system performance. Highly Autonomous Executor: You take ownership of complex problem spaces end-to-end, balancing speed with engineering rigor and iterating effectively based on real-world feedback. What You'll Need 6+ years of experience building and shipping production software systems, including experience operating at a Staff or Principal IC level and driving technical direction across complex systems Proven experience building and scaling multi-agent or agent-driven systems in production and real-world operational ownership (beyond simple chat or LLM workflows). Hands-on experience with modern agent ecosystems, including frameworks (e.g., LangGraph, Mastra, Claude Agents SDK), observability/evals tooling (e.g., Langfuse, LangSmith, Braintrust), MCP implementations, and leading AI SDKs (e.g., OpenAI, Anthropic). Strong systems and backend architecture fundamentals, with experience designing scalable, reliable systems and handling infrastructure, performance, failure modes, cost, and deployment concerns. Clear agentic evaluation mindset, including automated evals, simulation-based testing, regression frameworks, metrics design, and continuous improvement loops. Firsthand experience addressing performance and reliability of scaled agentic systems. AI-native builder with high velocity and ownership, demonstrating intellectual curiosity, rapid adoption of new tools, bias to action, and the ability to drive ambiguous problems from concept to production. Strong cross-functional collaborator and communicator, able to partner with Product, Operations, and domain experts to deliver end-to-end systems with measurable real-world impact. Force-multiplier technical leader, raising the bar for clarity of thinking, system design standards, and team execution. Nice to Have (Not Required) Experience building conversational or voice-driven systems (e.g., speech pipelines, telephony integrations, or real-time conversational workflows). Experience working in healthcare or other regulated or high-stakes domains. Our Values Lead with integrity: We keep our commitments and take responsibility for our actions. We are dependable and choose authenticity over perfection. Embrace challenges: We leave our egos at the door and step forward into discomfort instead of back into safety. We help each other to learn and provide feedback using candor and kindness. Break through walls: We go the extra mile for our patients, partners and one another, and we run toward hard things. We are resilient in our push for consistent improvement and challenge the status quo. Act beyond yourself: We build each other up and respect boundaries. We seek first to understand and assume positive intent. Care comes first: We hold ourselves to the highest standards for our patients. We are relentless in the pursuit of our mission, and ensure that we are taking care of ourselves in order to care for others. Because We Value You Competitive salary: $210,000 - 235,000 Equity compensation package Flexible vacation policy - take the time you need to recharge Comprehensive medical, dental, and vision coverage 401(k) 100% company-sponsored short and long-term disability and life insurance Subsidized backup childcare and caregiver supports through Wellthy Work entirely from the comfort of your own home Monthly $100 work from home expense stipend We provide the equipment needed for the role Opportunity for rapid career progression with plenty of room for personal growth! Travel reimbursements for any company retreats or leadership offsites Pair Team is an Equal Opportunity Employer. At Pair Team, we value diversity and strive to provide an inclusive environment for all applicants and employees. All applicants will be considered without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, marital status, age, disability, political affiliation, military service, genetic information, or any other characteristic covered by federal, state, or local law. Pair Team participates in E-Verify to verify employment eligibility for new hires. Any offer of employment at Pair Team is conditioned upon passing a pre-employment background check. Following a conditional job offer, candidates will undergo comprehensive employment background checks, including; criminal history, reference checks, and driving records if a role requires vehicle use. We do not conduct any TA business outside of emails. If you're ever concerned about spam or fraudulent activity, please reach out to . Note: Please be aware that while we sincerely appreciate your interest, due to the high volume of requests, we're unable to respond to general position inquiries via email. To apply for a position with us, please submit your application for the role you are interested in. Our team regularly reviews applications and will reach out to candidates whose qualifications align with our current openings listed below. Thank you!

Job DescriptionJob Description Location: Remote (Europe) Employment: Full-time About Our Client Our client is building a cutting-edge AI-powered cryptocurrency trading platform. The product delivers automated trading bots (DCA, Grid, Quantum), portfolio management tools, real-time market data, and multi-exchange integrations (Binance, Bybit, OKX, and others). Their mission: to provide institutional-grade trading capabilities with consumer-grade UX - making advanced trading accessible, fast, and reliable. What You'll Do As a Frontend Engineer, you'll be at the center of creating an intuitive, high-performance trading experience: Ship real-time trading features in React 18+ with TypeScript. Design data flows with Redux Toolkit, Redux-Saga, and React Query (caching, optimistic updates, real-time sync). Integrate APIs & live feeds via REST + WebSockets for order books, balances, and notifications. Craft responsive UIs with Tailwind CSS + Styled Components, ensuring a seamless mobile-first experience. Deliver rich visuals like candlestick charts, P&L dashboards, and live market visualizations using ApexCharts or similar. Optimize performance with code-splitting, lazy loading, bundle budgets, and profiling. Implement secure auth flows (JWT, OAuth, 2FA) and manage exchange API keys safely. Contribute to internationalization (13+ languages, including RTL). Raise the bar by mentoring peers, reviewing code, and shaping front-end architecture. ️ You'll Be a Strong Fit If You Have Solid expertise in React (18+) + TypeScript and modern ES2020+. Hands-on experience with Redux Toolkit, Redux-Saga, and React Query in production. Proven work on real-time systems (WebSockets, live market data, large datasets). Experience with charting libraries (ApexCharts, Highcharts, D3, etc.) including live updates. Strong understanding of performance optimization. Awareness of secure authentication flows and API key management. Leveling guidance: Mid-level: 3-5 years React/TS experience. Senior-level: 5+ years with architectural or product-wide impact. Impact > years of experience: if you can demonstrate senior-level contributions, you'll be considered at that level. Bonus Skills Trading/fintech background (order forms, risk, real-time systems). Testing with Jest + React Testing Library. Familiarity with CI/CD pipelines. Monitoring/analytics (Sentry, Datadog, PostHog). Experience with PWAs or Web3/wallet integrations. What Makes You Stand Out Problem-solving mindset in complex, data-heavy contexts. Collaborative and proactive in Agile teams. Clear communication, clean documentation, thoughtful peer reviews. What Success Looks Like You'll deliver high-impact features for a global trading audience, ensure the platform is fast, reliable, and secure, and shape the front-end architecture of a product scaling at speed.

Job DescriptionJob Description Location: Remote (Europe) Employment: Full-time About Our Client Our client is building a cutting-edge AI-powered cryptocurrency trading platform. The product delivers automated trading bots (DCA, Grid, Quantum), portfolio management tools, real-time market data, and multi-exchange integrations (Binance, Bybit, OKX, and others). Their mission: to provide institutional-grade trading capabilities with consumer-grade UX - making advanced trading accessible, fast, and reliable. What You'll Do As a Frontend Engineer, you'll be at the center of creating an intuitive, high-performance trading experience: Ship real-time trading features in React 18+ with TypeScript. Design data flows with Redux Toolkit, Redux-Saga, and React Query (caching, optimistic updates, real-time sync). Integrate APIs & live feeds via REST + WebSockets for order books, balances, and notifications. Craft responsive UIs with Tailwind CSS + Styled Components, ensuring a seamless mobile-first experience. Deliver rich visuals like candlestick charts, P&L dashboards, and live market visualizations using ApexCharts or similar. Optimize performance with code-splitting, lazy loading, bundle budgets, and profiling. Implement secure auth flows (JWT, OAuth, 2FA) and manage exchange API keys safely. Contribute to internationalization (13+ languages, including RTL). Raise the bar by mentoring peers, reviewing code, and shaping front-end architecture. ️ You'll Be a Strong Fit If You Have Solid expertise in React (18+) + TypeScript and modern ES2020+. Hands-on experience with Redux Toolkit, Redux-Saga, and React Query in production. Proven work on real-time systems (WebSockets, live market data, large datasets). Experience with charting libraries (ApexCharts, Highcharts, D3, etc.) including live updates. Strong understanding of performance optimization. Awareness of secure authentication flows and API key management. Leveling guidance: Mid-level: 3-5 years React/TS experience. Senior-level: 5+ years with architectural or product-wide impact. Impact > years of experience: if you can demonstrate senior-level contributions, you'll be considered at that level. Bonus Skills Trading/fintech background (order forms, risk, real-time systems). Testing with Jest + React Testing Library. Familiarity with CI/CD pipelines. Monitoring/analytics (Sentry, Datadog, PostHog). Experience with PWAs or Web3/wallet integrations. What Makes You Stand Out Problem-solving mindset in complex, data-heavy contexts. Collaborative and proactive in Agile teams. Clear communication, clean documentation, thoughtful peer reviews. What Success Looks Like You'll deliver high-impact features for a global trading audience, ensure the platform is fast, reliable, and secure, and shape the front-end architecture of a product scaling at speed.

Job DescriptionJob DescriptionAbout Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum - resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom's high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. At Kiddom, we're dedicated to transforming education through innovative technology. Our mission is to build a comprehensive platform that supports educators and learners with cutting-edge tools and data-driven insights. We are looking for a talented Staff Software Engineer to join our team and lead the architecture and development of scalable, frontend-focused solutions. As a Lead Software Engineer - Frontend at Kiddom, you will play a critical role in designing and delivering full-stack product features with a strong emphasis on frontend architecture. Your work will involve scoping, building, and optimizing product features and cross-cutting concerns to address complex problems at scale. You will collaborate with other senior-level engineers, select the appropriate tools and technologies, and implement robust, production-grade software solutions. Note: There is a list of questions as part of the application process. Not filling them out or putting N/A automatically disqualifies you. You will Design & Delivery: Own the design and delivery of full-stack product features, focusing on frontend architecture and scalability. Data Solutions: Scope out and build the best-possible data solutions for both green-field and legacy problems, ensuring they meet the scale and performance requirements. Tool Selection: Shortlist and evaluate tools and technologies that align with project goals and technical requirements. Implementation & Validation: Develop and validate production-grade software solutions, ensuring they meet high standards of quality and performance. Abstractions & Integration: Build abstractions that improve integration with common data stack-oriented technologies and generalize your work to benefit a variety of use cases. Impactful Features: Develop key product features that directly impact the success of the company and enhance the overall user experience. What we're looking for Experience: 8+ years of software engineering experience with a strong focus on frontend development and system architecture. Technical Skills: Expertise in designing scalable systems, working with data-oriented technologies, and implementing production-grade software. Programming Languages: Proficiency in languages such as Java, Python, or Golang. Tools & Technologies: Experience with front-end frameworks (React, Angular, Vue), databases (SQL, NoSQL), and cloud services (e.g., AWS, GCP). Problem-Solving: Strong analytical and problem-solving skills, with the ability to tackle complex, real world problems. Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process. What we offerFull time permanent employees are eligible for the following benefits from their first day of employment: Competitive salary Meaningful equity Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance One Medical membership (in participating locations) Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year. 10 paid sick days per year (pro rated depending on start date) Paid holidays Paid bereavement leave Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State. Commuter and FSA plans Equal Employment Opportunity PolicyKiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.

Job DescriptionJob DescriptionAbout Kiddom Kiddom is a groundbreaking educational platform that promotes student equity and growth by uniting high-quality instructional materials with dynamic digital learning. Through unparalleled curriculum management functionality, Kiddom empowers schools and districts to take ownership of their curriculum - resulting in learning experiences tailored to meet the unique needs and goals of local communities. Kiddom's high-quality curriculum is layered with robust teacher and leader data insights to drive the continuous improvement of instructional decisions, school/district programming, and professional learning. At Kiddom, we're dedicated to transforming education through innovative technology. Our mission is to build a comprehensive platform that supports educators and learners with cutting-edge tools and data-driven insights. We are looking for a talented Staff Software Engineer to join our team and lead the architecture and development of scalable, frontend-focused solutions. As a Lead Software Engineer - Frontend at Kiddom, you will play a critical role in designing and delivering full-stack product features with a strong emphasis on frontend architecture. Your work will involve scoping, building, and optimizing product features and cross-cutting concerns to address complex problems at scale. You will collaborate with other senior-level engineers, select the appropriate tools and technologies, and implement robust, production-grade software solutions. Note: There is a list of questions as part of the application process. Not filling them out or putting N/A automatically disqualifies you. You will Design & Delivery: Own the design and delivery of full-stack product features, focusing on frontend architecture and scalability. Data Solutions: Scope out and build the best-possible data solutions for both green-field and legacy problems, ensuring they meet the scale and performance requirements. Tool Selection: Shortlist and evaluate tools and technologies that align with project goals and technical requirements. Implementation & Validation: Develop and validate production-grade software solutions, ensuring they meet high standards of quality and performance. Abstractions & Integration: Build abstractions that improve integration with common data stack-oriented technologies and generalize your work to benefit a variety of use cases. Impactful Features: Develop key product features that directly impact the success of the company and enhance the overall user experience. What we're looking for Experience: 8+ years of software engineering experience with a strong focus on frontend development and system architecture. Technical Skills: Expertise in designing scalable systems, working with data-oriented technologies, and implementing production-grade software. Programming Languages: Proficiency in languages such as Java, Python, or Golang. Tools & Technologies: Experience with front-end frameworks (React, Angular, Vue), databases (SQL, NoSQL), and cloud services (e.g., AWS, GCP). Problem-Solving: Strong analytical and problem-solving skills, with the ability to tackle complex, real world problems. Salary range is dependent on geographic location, prior experience, seniority, and demonstrated role related ability during the interview process. What we offerFull time permanent employees are eligible for the following benefits from their first day of employment: Competitive salary Meaningful equity Health insurance benefits: medical (various PPO/HMO/HSA plans), dental, vision, disability and life insurance One Medical membership (in participating locations) Flexible vacation time policy (subject to internal approval). Average use 4 weeks off per year. 10 paid sick days per year (pro rated depending on start date) Paid holidays Paid bereavement leave Paid family leave after birth/adoption. Minimum of 16 paid weeks for birthing parents, 10 weeks for caretaker parents. Meant to supplement benefits offered by State. Commuter and FSA plans Equal Employment Opportunity PolicyKiddom is committed to providing equal employment opportunities to all employees and applicants without regard to race, religion, color, gender, sexual orientation, transgender status, national origin, citizenship status, uniform service member status, pregnancy, age, genetic information, disability, or any other protected status in accordance with all applicable federal, state, and local laws.

Job DescriptionJob DescriptionTitle: Web DeveloperLocation: Lisbon, Portugal (100% remote)Duration: ContractorGroundbreaking advances in synthetic biology achieved at Amyris allow us to create products that are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our several consumer brands to global significance and impact. Today, we serve Biossance, Pipette and Purecane. Among other projects, we are building two new brands that will launch later this year. We are creating a clean cosmetics line in partnership with Rosie Huntington-Whitely to launch on a new Rose, Inc. platform. We are creating a clean hair care brand, JVN Hair, in partnership with Jonathan Van Ness. We seek a talented, experienced web developer to help optimize our browsing and shopping experiences to drive consumer happiness, retention, and revenue. Our stack includes Shopify, custom Shopify apps, Boomi, Azure Cloud, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third party and internally created software. The Web Developer will work proactively to recommend solutions to enhance functionality, performance, and extensibility of our sites and tech stack. This role partners closely with our brand teams on technical aspects of web related projects and collaborates with project managers & business stakeholders on priorities, feasibility, and timelines.Responsibilities: Create and maintain beautiful, mobile-friendly user interfaces for and our various brands sites. Develop strong relationships to collaborate effectively with designers, marketers, product managers, and developers to establish and implement their design vision. Maintain up-to-date documentation of design solutions. Explain potential opportunities and project risks to management. Assist the project managers with time and budget estimations. Contribute to the development/evolution of the Digital team. Gain a deep understanding of our products and the customer experience to think and speak from the customer viewpoint. Use your passion, skills and wisdom to bring our digital platforms to their full potential in service of the best customer experience and growth for our brands. Qualifications: Deep knowledge to create responsive websites. Bachelor's degree or equivalent experience, ideally in computer science or a related field At least 3 years of Front-End Development (HTML/CSS) Experience with REST APIs, both client and server-side. Experience working with modern front-end frameworks like React and AngularJS. Expert in creating full CSS and HTML layouts. Proven ability to deliver quality code within scope, budget and deadlines. Demonstrate consistent follow-through on internal assignments and initiatives. Experience with Agile methodology Be pleasant to work with! Ability to ask appropriate questions and communicate effectively to a broad range of people including users, designers, executives, marketers, producers, and technical staff. Can translate complex user requirements and functional specifications into a tangible design for the design and technology team. Experience with table-free, standards compliant CSS layouts. Attention to detail and a strong sense of organization. An understanding of different web applications and the design constraints of each platform. Willing to learn, share knowledge and take leadership from industry experts. Experience with Jira. Strong communication, interpersonal, analytical and problem-solving skills A customer focus, a strong drive for results, and a collaborative team player Experience with Shopify and better yet Shopify apps development Experience with other elements of our architecture such as Google Analytics, Boomi, Domo, Salesforce Marketing Cloud, Klaviyo, HubSpot, NetSuite, and Microsoft Azure Cloud a plus

Job DescriptionJob DescriptionTitle: Web DeveloperLocation: Lisbon, Portugal (100% remote)Duration: ContractorGroundbreaking advances in synthetic biology achieved at Amyris allow us to create products that are better and safer for humans and more sustainable for the planet. The Digital group is charged with creating connected experiences and back-end services to catapult our several consumer brands to global significance and impact. Today, we serve Biossance, Pipette and Purecane. Among other projects, we are building two new brands that will launch later this year. We are creating a clean cosmetics line in partnership with Rosie Huntington-Whitely to launch on a new Rose, Inc. platform. We are creating a clean hair care brand, JVN Hair, in partnership with Jonathan Van Ness. We seek a talented, experienced web developer to help optimize our browsing and shopping experiences to drive consumer happiness, retention, and revenue. Our stack includes Shopify, custom Shopify apps, Boomi, Azure Cloud, Salesforce Marketing Cloud, Zendesk, Domo, NetSuite, and other third party and internally created software. The Web Developer will work proactively to recommend solutions to enhance functionality, performance, and extensibility of our sites and tech stack. This role partners closely with our brand teams on technical aspects of web related projects and collaborates with project managers & business stakeholders on priorities, feasibility, and timelines.Responsibilities: Create and maintain beautiful, mobile-friendly user interfaces for and our various brands sites. Develop strong relationships to collaborate effectively with designers, marketers, product managers, and developers to establish and implement their design vision. Maintain up-to-date documentation of design solutions. Explain potential opportunities and project risks to management. Assist the project managers with time and budget estimations. Contribute to the development/evolution of the Digital team. Gain a deep understanding of our products and the customer experience to think and speak from the customer viewpoint. Use your passion, skills and wisdom to bring our digital platforms to their full potential in service of the best customer experience and growth for our brands. Qualifications: Deep knowledge to create responsive websites. Bachelor's degree or equivalent experience, ideally in computer science or a related field At least 3 years of Front-End Development (HTML/CSS) Experience with REST APIs, both client and server-side. Experience working with modern front-end frameworks like React and AngularJS. Expert in creating full CSS and HTML layouts. Proven ability to deliver quality code within scope, budget and deadlines. Demonstrate consistent follow-through on internal assignments and initiatives. Experience with Agile methodology Be pleasant to work with! Ability to ask appropriate questions and communicate effectively to a broad range of people including users, designers, executives, marketers, producers, and technical staff. Can translate complex user requirements and functional specifications into a tangible design for the design and technology team. Experience with table-free, standards compliant CSS layouts. Attention to detail and a strong sense of organization. An understanding of different web applications and the design constraints of each platform. Willing to learn, share knowledge and take leadership from industry experts. Experience with Jira. Strong communication, interpersonal, analytical and problem-solving skills A customer focus, a strong drive for results, and a collaborative team player Experience with Shopify and better yet Shopify apps development Experience with other elements of our architecture such as Google Analytics, Boomi, Domo, Salesforce Marketing Cloud, Klaviyo, HubSpot, NetSuite, and Microsoft Azure Cloud a plus

Job DescriptionJob Description REMOTE FRONTEND ENGINEER We're hiring a frontend engineer who actually cares about how things feel. This isn't a "hook up some components" role. You'll be taking rough ideas and Figma files and turning them into fast, sharp, well-crafted product experiences. We use React + TypeScript. We're still early-the frontend isn't "set" yet, so you'll help define it. WHAT YOU'LL DO • Turn Figma into real product quickly (and not lose the details) • Build interfaces that feel fast, clean, and intuitive • Sweat the small stuff-spacing, states, interactions, edge cases • Work closely with design (and push back when something feels off) • Help build a frontend codebase that stays clean as we grow YOU MIGHT BE A FIT IF YOU • Are very strong with React + TypeScript • Have a sharp eye for UI/UX (you notice things other people miss) • Can go from design production code fast • Care a lot about code quality, but don't over-engineer • Have opinions on how frontend code should be structured • Have experience working in a startup environment (or something similarly fast-paced) • Communicate clearly in English BONUS (NOT REQUIRED) • You've helped shape a design system or component library • You've cleaned up or rebuilt a messy frontend before • You've worked at a US startup WHY THIS ROLE If you're someone who wants ownership, cares about craft, and likes building things the right way from the start, this will be a good fit. You'll have real say in how the frontend is structured and scaled. BENEFITS & PERKS • Work closely with design in a product-first environment • High ownership-you'll help define how the frontend is built • Fast-moving team with minimal bureaucracy

Job DescriptionJob Description REMOTE FRONTEND ENGINEER We're hiring a frontend engineer who actually cares about how things feel. This isn't a "hook up some components" role. You'll be taking rough ideas and Figma files and turning them into fast, sharp, well-crafted product experiences. We use React + TypeScript. We're still early-the frontend isn't "set" yet, so you'll help define it. WHAT YOU'LL DO • Turn Figma into real product quickly (and not lose the details) • Build interfaces that feel fast, clean, and intuitive • Sweat the small stuff-spacing, states, interactions, edge cases • Work closely with design (and push back when something feels off) • Help build a frontend codebase that stays clean as we grow YOU MIGHT BE A FIT IF YOU • Are very strong with React + TypeScript • Have a sharp eye for UI/UX (you notice things other people miss) • Can go from design production code fast • Care a lot about code quality, but don't over-engineer • Have opinions on how frontend code should be structured • Have experience working in a startup environment (or something similarly fast-paced) • Communicate clearly in English BONUS (NOT REQUIRED) • You've helped shape a design system or component library • You've cleaned up or rebuilt a messy frontend before • You've worked at a US startup WHY THIS ROLE If you're someone who wants ownership, cares about craft, and likes building things the right way from the start, this will be a good fit. You'll have real say in how the frontend is structured and scaled. BENEFITS & PERKS • Work closely with design in a product-first environment • High ownership-you'll help define how the frontend is built • Fast-moving team with minimal bureaucracy