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Leidos
Data Scientist
Leidos Alexandria, Virginia
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
11/14/2026
Full time
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
Leidos
Data Scientist
Leidos Rockville, Maryland
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
11/14/2026
Full time
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
Lead Azure Data Architect
CYNET Systems Raritan, New Jersey
Pay Range: $60.00hr - $65.00hr Job Overview: The Azure Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role drives enterprise-scale data initiatives, ensuring solutions are robust, scalable, and aligned with industry best practices. The position plays a critical part in shaping data strategy, enforcing governance, and fostering innovation to support organizational and client objectives. Key Responsibilities: Architect end-to-end data integration and transformation solutions using Azure Data Factory, ensuring scalability, reliability, and adherence to enterprise standards. Design and oversee advanced analytics platforms leveraging Azure Databricks, Azure Synapse Analytics, and Azure ML to enable data-driven decision-making. Define and implement DevOps practices for data pipelines in Azure, ensuring automated deployments, monitoring, and operational excellence. Lead architectural reviews and enforce governance and compliance measures across Azure data solutions, maintaining alignment with industry and organizational standards. Collaborate with business stakeholders to gather requirements and translate them into innovative, scalable Azure-based data architectures. Mentor and develop technical teams on Azure data technologies, ensuring skill advancement and risk mitigation in solution delivery. Author whitepapers, contribute to industry forums, and drive intellectual property initiatives to establish thought leadership in Azure data architecture. Skill Requirements: Architectural leadership in Azure Data Factory with expert-level proficiency in designing complex data integration solutions. Advanced expertise in Azure Databricks, Azure Synapse Analytics, and Azure ML for large-scale analytics and machine learning workloads. In-depth knowledge of DevOps practices for Azure data services, including CI/CD, monitoring, and automation. Solid understanding of data governance, security, and compliance frameworks within Azure environments. Excellent ability to translate business requirements into scalable Azure data architectures. Strong mentoring and leadership skills to guide technical teams in Azure data technologies. Other Requirements: Microsoft Certified: Azure Solutions Architect Expert (Recommended). Microsoft Certified: Azure Data Engineer Associate (Optional but valuable). Microsoft Certified: Azure Data Scientist Associate (Optional but valuable). Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $60.00hr - $65.00hr Job Overview: The Azure Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role drives enterprise-scale data initiatives, ensuring solutions are robust, scalable, and aligned with industry best practices. The position plays a critical part in shaping data strategy, enforcing governance, and fostering innovation to support organizational and client objectives. Key Responsibilities: Architect end-to-end data integration and transformation solutions using Azure Data Factory, ensuring scalability, reliability, and adherence to enterprise standards. Design and oversee advanced analytics platforms leveraging Azure Databricks, Azure Synapse Analytics, and Azure ML to enable data-driven decision-making. Define and implement DevOps practices for data pipelines in Azure, ensuring automated deployments, monitoring, and operational excellence. Lead architectural reviews and enforce governance and compliance measures across Azure data solutions, maintaining alignment with industry and organizational standards. Collaborate with business stakeholders to gather requirements and translate them into innovative, scalable Azure-based data architectures. Mentor and develop technical teams on Azure data technologies, ensuring skill advancement and risk mitigation in solution delivery. Author whitepapers, contribute to industry forums, and drive intellectual property initiatives to establish thought leadership in Azure data architecture. Skill Requirements: Architectural leadership in Azure Data Factory with expert-level proficiency in designing complex data integration solutions. Advanced expertise in Azure Databricks, Azure Synapse Analytics, and Azure ML for large-scale analytics and machine learning workloads. In-depth knowledge of DevOps practices for Azure data services, including CI/CD, monitoring, and automation. Solid understanding of data governance, security, and compliance frameworks within Azure environments. Excellent ability to translate business requirements into scalable Azure data architectures. Strong mentoring and leadership skills to guide technical teams in Azure data technologies. Other Requirements: Microsoft Certified: Azure Solutions Architect Expert (Recommended). Microsoft Certified: Azure Data Engineer Associate (Optional but valuable). Microsoft Certified: Azure Data Scientist Associate (Optional but valuable). Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Senior GCP Data Engineer
CYNET Systems Nashville, Tennessee
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Leidos
Operations Research Analyst
Leidos Odenton, Maryland
Leidos seeks an Operations Research Analyst to support mission-critical IT and national security programs. In this role, you will apply quantitative methods, modeling, and optimization to complex technical and operational problems. You will build and validate analytical models, conduct simulations, and perform data-driven analysis to improve system performance, resource allocation, and decision-making. Working in a collaborative, mission-focused environment, you will partner with engineers, data scientists, and stakeholders, translating findings into clear recommendations that drive real-world impact for government and commercial clients. Responsibilities Apply operations research and quantitative methods to complex IT and mission problems Develop and validate models, simulations, and optimization algorithms Analyze large data sets to generate actionable insights and decision support Collaborate with engineers, data scientists, and stakeholders to define requirements Translate analytical findings into clear recommendations and reports Support proposal development and solution design for new projects Evaluate system performance and recommend process or technology improvements Ensure analytical approaches meet security, compliance, and quality standards Required Skills Operations research modeling Mathematical optimization (linear, integer, stochastic) Statistical analysis Data analytics and visualization Simulation modeling (discrete-event/Monte Carlo) Programming in Python or RSQL and database querying Machine learning fundamentals Decision analysis and cost-benefit modeling Technical writing and reporting
11/14/2026
Full time
Leidos seeks an Operations Research Analyst to support mission-critical IT and national security programs. In this role, you will apply quantitative methods, modeling, and optimization to complex technical and operational problems. You will build and validate analytical models, conduct simulations, and perform data-driven analysis to improve system performance, resource allocation, and decision-making. Working in a collaborative, mission-focused environment, you will partner with engineers, data scientists, and stakeholders, translating findings into clear recommendations that drive real-world impact for government and commercial clients. Responsibilities Apply operations research and quantitative methods to complex IT and mission problems Develop and validate models, simulations, and optimization algorithms Analyze large data sets to generate actionable insights and decision support Collaborate with engineers, data scientists, and stakeholders to define requirements Translate analytical findings into clear recommendations and reports Support proposal development and solution design for new projects Evaluate system performance and recommend process or technology improvements Ensure analytical approaches meet security, compliance, and quality standards Required Skills Operations research modeling Mathematical optimization (linear, integer, stochastic) Statistical analysis Data analytics and visualization Simulation modeling (discrete-event/Monte Carlo) Programming in Python or RSQL and database querying Machine learning fundamentals Decision analysis and cost-benefit modeling Technical writing and reporting
Leidos
Data Scientist
Leidos Englewood, Colorado
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
11/14/2026
Full time
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
Leidos
Data Scientist
Leidos Anacostia Annex, Washington DC
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
11/14/2026
Full time
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
Leidos
Data Scientist
Leidos Washington, Washington DC
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
11/14/2026
Full time
Leidos seeks a Data Scientist to develop data-driven solutions supporting national security, health, and engineering missions. You will design and implement machine learning models, perform advanced statistical analyses, and transform complex data into actionable insights for government and commercial clients. Collaborating with cross-functional teams, you'll support digital modernization, cyber, and analytics initiatives while upholding strict security and ethical standards. Leidos offers competitive pay, flexible work options, mentorship, and strong growth opportunities in a mission-driven, collaborative culture. Responsibilities Design, build, and validate machine learning and statistical models for mission-focused projects Collect, clean, and engineer features from complex, multi-source datasets Translate business and mission requirements into analytical approaches and experiments Develop dashboards and visualizations to communicate insights to technical and non-technical stakeholders Collaborate with engineering, cyber, and product teams to deploy and operationalize models Ensure data quality, reproducibility, and compliance with security and ethical standards Document methods, assumptions, and analyses for review and knowledge sharing Required Skills Python RSQLMachine learning (supervised and unsupervised) Statistical modeling and hypothesis testing Data wrangling and ETLData visualization (Tableau/Power BI/Matplotlib) Cloud platforms (AWS/Azure/GCP) Version control (Git) MLOps and model deployment
Senior GCP Data Engineer
CYNET Systems Nashville, Tennessee
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $50.00hr - $55.00hr Job Overview: As a Consulting Data Engineer, the successful candidate will architect, build, and optimize the next generation of real-time healthcare data platforms and event-driven architectures. The candidate will play a foundational role in moving clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, the candidate will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. The candidate will bridge the gap between complex electronic health records (EHR) and data consumers-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities: Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications: 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Lead Azure Data Architect
CYNET Systems Raritan, New Jersey
Pay Range: $60.00hr - $65.00hr Job Overview: The Azure Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role drives enterprise-scale data initiatives, ensuring solutions are robust, scalable, and aligned with industry best practices. The position plays a critical part in shaping data strategy, enforcing governance, and fostering innovation to support organizational and client objectives. Key Responsibilities: Architect end-to-end data integration and transformation solutions using Azure Data Factory, ensuring scalability, reliability, and adherence to enterprise standards. Design and oversee advanced analytics platforms leveraging Azure Databricks, Azure Synapse Analytics, and Azure ML to enable data-driven decision-making. Define and implement DevOps practices for data pipelines in Azure, ensuring automated deployments, monitoring, and operational excellence. Lead architectural reviews and enforce governance and compliance measures across Azure data solutions, maintaining alignment with industry and organizational standards. Collaborate with business stakeholders to gather requirements and translate them into innovative, scalable Azure-based data architectures. Mentor and develop technical teams on Azure data technologies, ensuring skill advancement and risk mitigation in solution delivery. Author whitepapers, contribute to industry forums, and drive intellectual property initiatives to establish thought leadership in Azure data architecture. Skill Requirements: Architectural leadership in Azure Data Factory with expert-level proficiency in designing complex data integration solutions. Advanced expertise in Azure Databricks, Azure Synapse Analytics, and Azure ML for large-scale analytics and machine learning workloads. In-depth knowledge of DevOps practices for Azure data services, including CI/CD, monitoring, and automation. Solid understanding of data governance, security, and compliance frameworks within Azure environments. Excellent ability to translate business requirements into scalable Azure data architectures. Strong mentoring and leadership skills to guide technical teams in Azure data technologies. Other Requirements: Microsoft Certified: Azure Solutions Architect Expert (Recommended). Microsoft Certified: Azure Data Engineer Associate (Optional but valuable). Microsoft Certified: Azure Data Scientist Associate (Optional but valuable). Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
11/14/2026
Full time
Pay Range: $60.00hr - $65.00hr Job Overview: The Azure Data Architecture Lead is responsible for providing architectural leadership in designing, implementing, and optimizing large-scale data solutions using Azure Data Factory and related Azure services. This role drives enterprise-scale data initiatives, ensuring solutions are robust, scalable, and aligned with industry best practices. The position plays a critical part in shaping data strategy, enforcing governance, and fostering innovation to support organizational and client objectives. Key Responsibilities: Architect end-to-end data integration and transformation solutions using Azure Data Factory, ensuring scalability, reliability, and adherence to enterprise standards. Design and oversee advanced analytics platforms leveraging Azure Databricks, Azure Synapse Analytics, and Azure ML to enable data-driven decision-making. Define and implement DevOps practices for data pipelines in Azure, ensuring automated deployments, monitoring, and operational excellence. Lead architectural reviews and enforce governance and compliance measures across Azure data solutions, maintaining alignment with industry and organizational standards. Collaborate with business stakeholders to gather requirements and translate them into innovative, scalable Azure-based data architectures. Mentor and develop technical teams on Azure data technologies, ensuring skill advancement and risk mitigation in solution delivery. Author whitepapers, contribute to industry forums, and drive intellectual property initiatives to establish thought leadership in Azure data architecture. Skill Requirements: Architectural leadership in Azure Data Factory with expert-level proficiency in designing complex data integration solutions. Advanced expertise in Azure Databricks, Azure Synapse Analytics, and Azure ML for large-scale analytics and machine learning workloads. In-depth knowledge of DevOps practices for Azure data services, including CI/CD, monitoring, and automation. Solid understanding of data governance, security, and compliance frameworks within Azure environments. Excellent ability to translate business requirements into scalable Azure data architectures. Strong mentoring and leadership skills to guide technical teams in Azure data technologies. Other Requirements: Microsoft Certified: Azure Solutions Architect Expert (Recommended). Microsoft Certified: Azure Data Engineer Associate (Optional but valuable). Microsoft Certified: Azure Data Scientist Associate (Optional but valuable). Benefits: Our Benefits Include: Medical, Dental, and Vision Insurance 401(k) Retirement Plan Health Savings Account (HSA) Disability Insurance (Short-Term and Long-Term) Life and AD&D Insurance Paid Sick Leave (where required by applicable state or local law) Supplemental Insurance Plans Identity Theft Protection Pet Insurance Employee Wellness Programs Employee Assistance Program (EAP) Career Growth and Professional Development Opportunities Disclaimer: Benefits eligibility, accrual rates, and usage limits may vary based on employment status, length of service, and work location. Paid Sick Leave is provided in strict accordance with applicable state and municipal mandates. Cynet Systems Inc. reserves the right to modify, amend, or terminate any benefit plans at any time in accordance with applicable laws. About Cynet Systems Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading technology staffing and workforce solutions company serving Fortune 500 companies, government agencies, and enterprise organizations across the United States and Canada. We deliver agile, scalable talent solutions across IT, engineering, life sciences, clinical, and professional staffing, powered by a high-performing recruitment engine operating across North America and Asia. As a nationally and locally certified Minority Business Enterprise (MBE), Cynet Systems is committed to helping organizations build high-performing teams while empowering professionals to grow rewarding careers. Our organization is certified to ISO 9001, ISO 14001, ISO 27001, and SOC 2 Type II standards, reflecting our commitment to quality, security, operational excellence, and customer success.
Healthcare Data Engineer - Real-Time & Cloud Platforms
Themesoft Inc. Nashville, Tennessee
Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.
11/14/2026
Full time
Job Description Job Title: Healthcare Data Engineer - Real-Time & Cloud Platforms Location: Nashville, TN ( Onsite from day 1 ) Duration: 6+ Months Job Summary As a Consulting Data Engineer, you will architect, build, and optimize the next generation of our real-time healthcare data platforms and event-driven architectures. You will play a foundational role in moving our clinical, operational, and financial data away from legacy batch processing toward high-throughput, near-zero-latency streaming pipelines. In this role, you will champion modern data engineering practices, design highly scalable cloud-native pipelines, and mentor a growing team of engineers. You will bridge the gap between complex electronic health records (EHR) and data consumer-enabling data scientists, software engineers, and clinical analysts to securely access, stream, and query compliant data at scale to improve patient outcomes and operational efficiency. Core Responsibilities • Architect Real-Time Pipelines: Design, implement, and monitor high-throughput, fault-tolerant streaming pipelines that ingest and process millions of concurrent healthcare data events (e.g., live telemetry, HL7 feeds, ADT messages). • Scale Google Cloud Infrastructure: Build and maintain scalable, secure, and cost-effective cloud data infrastructure using Google Cloud healthcare-native tools and Infrastructure as Code (IaC). • Enforce Healthcare Compliance & Security: Uphold strict data security protocols (HIPAA, HITRUST, SOC2) by building robust data Lakehouse architectures that enforce PHI/PII masking, role-based access control (RBAC), and encryption at rest and in transit. • Enable Self-Service Data & Interoperability: Build out streaming data ecosystems that support modern healthcare interoperability, managing real-time data catalogs and schema registries. • Promote Code Excellence: Write modular, highly reusable, and performance-tested code; lead code reviews and establish standardized CI/CD automated deployment workflows. • Optimize Data Reliability: Set and champion strict SLAs for clinical data delivery, establish automated data-quality testing, and implement proactive system monitoring and alerting. • Collaborate & Mentor: Work closely with Data Architects, Clinical Product Managers, and AI/ML teams to translate healthcare requirements into technical blueprints while mentoring mid-level engineers. Required Qualifications Experience & Education • 13+ years of experience in dedicated data engineering, data architecture, or distributed systems software engineering roles. • 4+ years of experience specifically within the healthcare domain (payer, provider, digital health, or health tech). • Google Cloud Certified Professional Data Engineer (or equivalent proven expert-level architecture experience on GCP). True Streaming Focus • Advanced Event-Driven Architecture: Mastery of high-volume streaming technologies including Apache Kafka and Google Cloud Pub/Sub for decoupled, real-time message routing. • Stream Processing: Deep hands-on experience with Apache Flink or Google Cloud Dataflow (Apache Beam) for real-time streaming, complex event processing (CEP), windowing, and streaming data transformations. Healthcare-Specific Tech Stack • Interoperability Standards: Deep expertise working with FHIR (Fast Healthcare Interoperability Resources) JSON structures, HL7 v2/v3 messaging, and DICOM imaging standard streams. • GCP Healthcare Tools: Hands-on experience implementing and scaling the Google Cloud Healthcare API (specifically FHIR stores and HL7v2 stores). • EHR Integration: Experience integrating streaming pipelines with major EHR systems (such as Epic, Cerner, or Meditech). Cloud Ecosystem & Modern Tooling • Google Cloud Ecosystem: Technical mastery of BigQuery (including partitioning, clustering, and streaming inserts), Cloud Storage, Dataproc, and Cloud Composer (Apache Airflow). • Programming Languages: Proficiency in Python, Scala, or Java, with a strong focus on writing optimized code for distributed computing platforms (like Spark or Beam). • Modern Data Stack & Modeling: Mastery of modern analytics engineering frameworks (such as dbt), dimensional data modeling, and lakehouse architectures (e.g., Iceberg, Delta Lake). • DevOps & Automation: Robust experience building automated CI/CD pipelines (GitHub Actions, GitLab CI) and managing infrastructure using Terraform. Work Authorization Applicants must be legally authorized to work in the United States. Equal Employment Opportunity Themesoft Inc is an Equal Employment Opportunity employer. We consider qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other status protected by applicable federal, state, or local law.
LexisNexis Legal & Professional
Principal Machine Learning Engineer I Hybrid in Horsham, PA or Remote EST Preferred
LexisNexis Legal & Professional Horsham, Pennsylvania
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
11/14/2026
Full time
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. About Our Team For over 50 years, LexisNexis Reed Technology has partnered with the U.S. Patent and Trademark Office (USPTO) to deliver secure, scalable, and high-quality patent data processing solutions. Our work transforms complex, unstructured patent submissions into standardized, searchable outputs that power examiner workflows and public dissemination. We operate in a highly regulated environment with strict security requirements, large-scale data volumes, and complex business rules. Our focus is on modernizing legacy workflows through automation, AI, and platform transformation to improve efficiency, accuracy, and cost effectiveness. About the Role Principal AI Engineer - Architecture Track We are seeking a hands-on Principal AI Engineer who can design and build production-grade AI solutions while growing into a broader AI Architect role. This position is ideal for an experienced AI developer or technical lead who has strong engineering depth, understands modern AI architecture, and is ready to expand their influence across platforms, products, and delivery teams. The Principal AI Engineer will work closely with product managers, architects, data scientists, software engineers, security teams, and government stakeholders to translate mission and business needs into secure, scalable, and reusable AI capabilities. The role will initially focus on solution design and hands-on implementation, with increasing responsibility for architecture standards, technical strategy, governance, and cross-team alignment. Conditions of Employment: You must be a U.S. citizen to apply for this position. You must successfully pass a background investigation and achieve Public Trust security clearance. Must be located near the Horsham, PA location for a hybrid onsite schedule. Responsibilities AI Solution Design and Development Design, prototype, and implement AI-powered applications, services, agents, and workflows. Translate business, user, and government mission requirements into practical technical solutions. Develop solutions using large language models, retrieval-augmented generation, machine learning, natural language processing, computer vision, or other relevant AI technologies. Build reusable AI components, services, APIs, evaluation frameworks, and reference implementations. Integrate AI capabilities with enterprise platforms, data sources, workflows, and existing applications. Balance rapid experimentation with the engineering discipline required for secure, reliable production systems. Evaluate models, platforms, frameworks, and vendors based on performance, cost, security, scalability, and mission fit. Architecture and Technical Leadership Contribute to solution architectures covering applications, models, data, integrations, infrastructure, security, and operational monitoring. Partner with senior architects to establish AI architecture patterns, guardrails, standards, and reference architectures. Help teams make informed decisions regarding commercial, open-source, and internally developed AI capabilities. Identify opportunities to create shared AI services and reusable capabilities across products, contracts, and government agencies. Participate in architecture reviews and clearly document technical decisions, tradeoffs, assumptions, and risks. Provide technical guidance, code reviews, mentoring, and hands-on support to engineering and data science teams. Grow into ownership of end-to-end AI solution architecture and broader technical strategy. Government and Stakeholder Engagement Support technical discovery sessions, demonstrations, proofs of concept, proposals, RFIs, and RFP responses. Communicate complex AI concepts, limitations, risks, and tradeoffs clearly to both technical and non-technical audiences. Help move successful prototypes into secure, supportable, and scalable production capabilities. Stay informed about evolving government AI policies, standards, acquisition practices, and responsible-AI expectations. Requirement Bachelor's degree in computer science, engineering, data science, information systems, or a related field, or equivalent practical experience. Significant professional software engineering experience, including experience delivering production applications or platforms. Hands-on experience developing AI, machine-learning, or data-intensive solutions. Proficiency in Python and experience with APIs, cloud services, data pipelines, software development practices, and source control. Experience with modern generative-AI patterns, such as large language models, retrieval-augmented generation, embeddings, vector search, tool use, structured outputs, or AI agents. Understanding of cloud-native architecture, system integration, identity and access management, observability, and secure development practices. Ability to evaluate technical alternatives and explain architecture decisions and tradeoffs. Experience working across product, engineering, data, security, and business teams. Strong written and verbal communication skills. Ability to satisfy applicable government background, suitability, or contractual requirements. Incorporate security, privacy, accessibility, explainability, auditability, and human oversight into solution designs. Establish appropriate evaluation methods for accuracy, relevance, groundedness, bias, safety, and reliability. Design controls for model and prompt versioning, data lineage, access management, logging, monitoring, and traceability. Partner with cybersecurity, legal, privacy, compliance, and governance teams throughout the solution lifecycle. Ensure solutions align with applicable organizational policies, contractual obligations, and government requirements. Design human-in-the-loop controls based on the risk and impact of the decisions supported or performed by AI. Preferred Qualifications Experience delivering technology solutions for U.S. federal, state, or local government customers. Experience working in government contracting, regulated environments, or programs involving sensitive data. Familiarity with government security and compliance frameworks, such as NIST, FedRAMP, FISMA, or agency-specific controls. Experience with one or more major cloud platforms, particularly AWS, Microsoft Azure, or Google Cloud. Experience with AI orchestration frameworks, model gateways, vector databases, evaluation platforms, MLOps, or LLMOps. Understanding of model evaluation, prompt engineering, fine-tuning, data governance, and responsible-AI practices. Experience moving AI proofs of concept into production. Experience supporting technical proposals, RFIs, RFPs, solution demonstrations, or customer workshops. Prior technical leadership, mentoring, or architecture-review experience. Relevant cloud, architecture, security, data, or AI certifications. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working flexible hours to help you fit everything in and work when you are the most productive Working for You We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits Health Savings, Health Care, Dependent Care and Commuter Spending Accounts Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $136,100 - $252,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process . click apply for full job details
LexisNexis Legal & Professional
Senior Salesforce Engineer II
LexisNexis Legal & Professional Raleigh, North Carolina
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. NOTE: Candidate MUST reside in the Eastern Time zone (EST) Are you passionate about building scalable Salesforce solutions that directly empower sales teams and improve customer outcomes? Would you like to help shape the future of AI-enabled CRM capabilities while working with industry-leading technologies and data-driven platforms? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX ( ), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About the Role As a Senior Salesforce Sales Cloud Engineer II, you will design, build, and support scalable Salesforce Sales Cloud solutions that enable sales, sales operations, and customer success teams to succeed. You will lead the delivery of complex features, integrate Salesforce with key enterprise platforms, and help drive the adoption of AI-powered capabilities. This role combines hands-on engineering, technical leadership, and collaboration across business and technology teams to deliver impactful customer and business outcomes. Responsibilities: Design, develop, and deploy Sales Cloud solutions across Lead, Account, Contact, Opportunity, Quote, Forecasting, and Territory Management. Build solutions using Apex, Lightning Web Components (LWC), Flow, and declarative Salesforce capabilities. Architect and maintain integrations between Salesforce and enterprise platforms including CDP, data warehouses, service platforms, customer portals, and sales enablement tools. Support the single customer view through identity matching, survivorship rules, and duplicate management across systems. Operationalize customer and business signals such as health score, churn risk, and propensity-to-buy within Salesforce workflows. Design and build AI-driven automation using Agentforce, Einstein, Prompt Builder, and Flow. Drive CI/CD and release management using Copado, Git, and SFDX, including automated testing and deployment pipelines. Troubleshoot complex production issues, performance bottlenecks, and data synchronization challenges. Requirements: 6+ years of hands-on Salesforce development experience, with at least 4 years on Sales Cloud. Strong proficiency in Apex, SOQL/SOSL, triggers, batch and queueable jobs, LWC, and Flow. Deep knowledge of the Sales Cloud data model, sharing and security model, and opportunity and forecast management. Proven experience with API-based integrations and middleware. Hands-on experience with Copado for CI/CD and release management, including pipeline configuration, branching and promotion strategies, automated deployments, and back-promotions. Also experience with Git-based source control and SFDX. Hands-on experience building automation with Salesforce Flow (record-triggered, orchestration, and platform-event flows) plus Apex-based automation. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
11/13/2026
Full time
This job is with LexisNexis Legal & Professional , an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. NOTE: Candidate MUST reside in the Eastern Time zone (EST) Are you passionate about building scalable Salesforce solutions that directly empower sales teams and improve customer outcomes? Would you like to help shape the future of AI-enabled CRM capabilities while working with industry-leading technologies and data-driven platforms? About our Team LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX ( ), a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. The company employs over 2,000 technologists, data scientists, and experts to develop, test, and validate solutions in line with RELX Responsible AI Principles. About the Role As a Senior Salesforce Sales Cloud Engineer II, you will design, build, and support scalable Salesforce Sales Cloud solutions that enable sales, sales operations, and customer success teams to succeed. You will lead the delivery of complex features, integrate Salesforce with key enterprise platforms, and help drive the adoption of AI-powered capabilities. This role combines hands-on engineering, technical leadership, and collaboration across business and technology teams to deliver impactful customer and business outcomes. Responsibilities: Design, develop, and deploy Sales Cloud solutions across Lead, Account, Contact, Opportunity, Quote, Forecasting, and Territory Management. Build solutions using Apex, Lightning Web Components (LWC), Flow, and declarative Salesforce capabilities. Architect and maintain integrations between Salesforce and enterprise platforms including CDP, data warehouses, service platforms, customer portals, and sales enablement tools. Support the single customer view through identity matching, survivorship rules, and duplicate management across systems. Operationalize customer and business signals such as health score, churn risk, and propensity-to-buy within Salesforce workflows. Design and build AI-driven automation using Agentforce, Einstein, Prompt Builder, and Flow. Drive CI/CD and release management using Copado, Git, and SFDX, including automated testing and deployment pipelines. Troubleshoot complex production issues, performance bottlenecks, and data synchronization challenges. Requirements: 6+ years of hands-on Salesforce development experience, with at least 4 years on Sales Cloud. Strong proficiency in Apex, SOQL/SOSL, triggers, batch and queueable jobs, LWC, and Flow. Deep knowledge of the Sales Cloud data model, sharing and security model, and opportunity and forecast management. Proven experience with API-based integrations and middleware. Hands-on experience with Copado for CI/CD and release management, including pipeline configuration, branching and promotion strategies, automated deployments, and back-promotions. Also experience with Git-based source control and SFDX. Hands-on experience building automation with Salesforce Flow (record-triggered, orchestration, and platform-event flows) plus Apex-based automation. Work in a Way That Works for You We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance and sabbaticals, we will help you meet your immediate responsibilities and your long-term goals. Working Pattern Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive. About the Business LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services. U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here . Please read our Candidate Privacy Policy . We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights .
HP
AI Platforms Analytics and Governance Lead
HP Spring, Texas
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. AI Platforms Analytics and Governance Lead Description - Job Summary The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization. This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives. Responsibilities Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI. Define platform standards, governance policies, and model consumption guidelines. Evaluate emerging AI technologies and recommend adoption strategies. Partner with security, legal, privacy, and compliance teams. Develop budget guardrails and cost allocation strategies. Create consumption forecasting models and executive dashboards. Identify optimization opportunities including: Prompt engineering Prompt caching Model routing Token reduction Context window optimization RAG optimization Batch processing Agent orchestration improvements Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects. Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends. Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs. Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups. Drives innovation and integration of new data science related technologies and practices into projects and activities in the business. Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions. Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans. Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment. Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements. Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions. Education & Experience Recommended Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 7+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field. Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills • Agile Methodology • Business Intelligence • Computer Science • Dashboard • Data Analysis • Data Management • Data Modeling • Data Quality • Data Science • Data Visualization • Data Warehousing • Extract Transform Load (ETL) • Machine Learning • Power BI • Python (Programming Language) • R (Programming Language) • SAS (Software) • SQL (Programming Language) • Statistics • Tableau (Business Intelligence Software) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope Impacts large functions and leads large, cross-division functional teams or projects. Complexity Provides highly innovative solutions to complex problems within established policy. Pay & Benefits The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Yes Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
11/13/2026
Full time
This job is with HP, an inclusive employer and a member of myGwork - the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. AI Platforms Analytics and Governance Lead Description - Job Summary The rapid adoption of AI platforms such as GitHub Copilot, Azure OpenAI, and enterprise AI agents has created a need for specialized expertise to monitor usage patterns, optimize consumption, control costs, and maximize business value. Traditional Data Analyst roles primarily focus on reporting and dashboarding, while traditional Data Scientist roles focus on model development and machine learning. This position combines both disciplines to provide actionable insights, predictive analytics, and cost optimization strategies for enterprise AI investments. This will provide sustainable enterprise-scale AI adoption by balancing innovation, governance, cost management, and business value realization. This role ensures use of statistical and analytical methods to explore data, identify trends, patterns, and anomalies, and extract actionable insights including model analysis, predictive analytics, and cost optimization strategies for enterprise AI investments. The role works closely with teams across the organization to understand their data needs, provide insights, and support their data-related initiatives. Responsibilities Manage and optimize enterprise AI platforms including GitHub Copilot and OpenAI. Define platform standards, governance policies, and model consumption guidelines. Evaluate emerging AI technologies and recommend adoption strategies. Partner with security, legal, privacy, and compliance teams. Develop budget guardrails and cost allocation strategies. Create consumption forecasting models and executive dashboards. Identify optimization opportunities including: Prompt engineering Prompt caching Model routing Token reduction Context window optimization RAG optimization Batch processing Agent orchestration improvements Defines and creates extensive plans, data collection and analysis procedures and data insight visualizations for assigned projects. Analyzing AI platform usage, token consumption, licensing utilization, and user adoption trends. Developing forecasting models to predict AI credit consumption, budget requirements, and capacity needs. Leverages recognized domain expertise, business acumen, and experience to influence decisions of executive business leadership, development partners, and industry standards groups. Drives innovation and integration of new data science related technologies and practices into projects and activities in the business. Stays up-to-date with emerging technologies and trends in the business intelligence field, and recommends innovative solutions. Acts as a functional manager within area of expertise, developing strategy and setting functional policy and direction. Provides mentorship and guidance to lower-level employees, thus ensuring the realization of operational and strategic plans. Creating executive dashboards and KPIs to measure AI adoption, business value realization, and return on investment. Performing statistical analysis and machine learning techniques to detect anomalies, forecast spend, and recommend efficiency improvements. Partnering with platform owners, engineering teams, finance, procurement, and business stakeholders to drive data-driven decisions. Education & Experience Recommended Four-year or Graduate Degree in Mathematics, Statistics, Economics, Computer Science, or any other related discipline or commensurate work experience or demonstrated competence. Typically has 7+ years of work experience, preferably in data analytics, database management, statistical analysis, or a related field. Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge & Skills • Agile Methodology • Business Intelligence • Computer Science • Dashboard • Data Analysis • Data Management • Data Modeling • Data Quality • Data Science • Data Visualization • Data Warehousing • Extract Transform Load (ETL) • Machine Learning • Power BI • Python (Programming Language) • R (Programming Language) • SAS (Software) • SQL (Programming Language) • Statistics • Tableau (Business Intelligence Software) Cross-Org Skills • Effective Communication • Results Orientation • Learning Agility • Digital Fluency • Customer Centricity Impact & Scope Impacts large functions and leads large, cross-division functional teams or projects. Complexity Provides highly innovative solutions to complex problems within established policy. Pay & Benefits The pay range for this role is $130,700 to $205,200 USD annually with additional opportunities for pay in the form of bonus and/or equity (applies to United States of America candidates only). Pay varies by work location, job-related knowledge, skills, and experience. Benefits: HP offers a comprehensive benefits package for this position, including: Health insurance Dental insurance Vision insurance Long term/short term disability insurance Employee assistance program Flexible spending account Life insurance Generous time off policies, including; 4-12 weeks fully paid parental leave based on tenure 11 paid holidays Additional flexible paid vacation and sick leave US benefits overview The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law. Disclaimer This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management. Job - Software Schedule - Full time Shift - No shift premium (United States of America) Travel - Relocation - Yes Equal Opportunity Employer (EEO) - HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s). Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence. For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: " Know Your Rights: Workplace Discrimination is Illegal "
Raytheon
Senior Platform DevOps Engineer (Onsite)
Raytheon Aurora, Colorado
Date Posted: 2026-11-06 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. As a Senior Platform DevOps Engineer, you will play a critical role in designing, implementing, and modernizing platform infrastructure to support mission-critical systems. You will work on a team responsible for development and operational environments for a large program producing a strategic national asset. Your contributions will drive efficiency, innovation, and collaboration while accelerating release cycles. Note: This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Modernize platform architecture by incorporating emerging technologies and DevOps/DevSecOps tools Transition tightly coupled systems to infrastructure-independent solutions Develop, configure, and support build, integration, test, and deployment pipelines Automate configuration management to improve scalability, consistency, and infrastructure efficiency Collaborate with software engineers, data scientists, and agile development teams to create robust platform solutions Integrate security and compliance measures, including encryption and access management, into the platform Provide operational support for platform infrastructure and services Qualifications You Must Have Typically requires a bachelor's degree in science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of relevant prior experience Experience designing, implementing, and integrating platform infrastructure services using technologies such as Kubernetes and Docker Experience with programming or scripting languages, including Python, Java, Ruby, Bash, C++, C#, or Go Experience with RedHat Linux, including system administration tasks Active and Current TS/SCI security clearance is required on Day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience deploying, configuring, and supporting CI/CD pipeline tools such as Jira, Confluence, Bitbucket, Jenkins, Artifactory, or GitLab Experience troubleshooting applications and infrastructure services on Linux-based operating systems Experience with automation frameworks such as Terraform, Ansible, and Chef Experience developing, testing, and delivering applications within a DevSecOps framework Background in COTS/FOSS product installation, configuration, and integration Certification meeting DoD 8570 IAT Level II requirements (e.g., Security+ CE or equivalent) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite Employees who are working in Onsite roles will work onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Aurora, CO We Are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
11/13/2026
Full time
Date Posted: 2026-11-06 Country: United States of America Location: US-CO-AURORA-S E Centretech Pkwy BLDG S75 Position Role Type: Onsite U.S. Citizen, U.S. Person, or Immigration Status Requirements: Active and transferable U.S. government issued security clearance is required prior to start date. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Security Clearance Type: TS/SCI without Polygraph Security Clearance Status: Active and existing security clearance required on day 1 At RTX, the world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world's most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Raytheon brings the strength of more than 100 years of experience and renowned engineering expertise to meet the needs of today's mission and stay ahead of tomorrow's threat. We deliver solutions that help our nation and allies defend freedom and deter aggression, creating a safer, more secure world. Join us and help shape the future of aerospace and defense. As a Senior Platform DevOps Engineer, you will play a critical role in designing, implementing, and modernizing platform infrastructure to support mission-critical systems. You will work on a team responsible for development and operational environments for a large program producing a strategic national asset. Your contributions will drive efficiency, innovation, and collaboration while accelerating release cycles. Note: This position will be filled onsite at the RTX Facility in Aurora CO. What You Will Do Modernize platform architecture by incorporating emerging technologies and DevOps/DevSecOps tools Transition tightly coupled systems to infrastructure-independent solutions Develop, configure, and support build, integration, test, and deployment pipelines Automate configuration management to improve scalability, consistency, and infrastructure efficiency Collaborate with software engineers, data scientists, and agile development teams to create robust platform solutions Integrate security and compliance measures, including encryption and access management, into the platform Provide operational support for platform infrastructure and services Qualifications You Must Have Typically requires a bachelor's degree in science, Technology, Engineering, or Mathematics (STEM) and a minimum of 5 years of relevant prior experience Experience designing, implementing, and integrating platform infrastructure services using technologies such as Kubernetes and Docker Experience with programming or scripting languages, including Python, Java, Ruby, Bash, C++, C#, or Go Experience with RedHat Linux, including system administration tasks Active and Current TS/SCI security clearance is required on Day 1. U.S. citizenship is required, as only U.S. citizens are eligible for a security clearance Qualifications We Prefer Experience deploying, configuring, and supporting CI/CD pipeline tools such as Jira, Confluence, Bitbucket, Jenkins, Artifactory, or GitLab Experience troubleshooting applications and infrastructure services on Linux-based operating systems Experience with automation frameworks such as Terraform, Ansible, and Chef Experience developing, testing, and delivering applications within a DevSecOps framework Background in COTS/FOSS product installation, configuration, and integration Certification meeting DoD 8570 IAT Level II requirements (e.g., Security+ CE or equivalent) What We Offer Our values drive our actions, behaviors, and performance with a vision for a safer, more connected world. At RTX we value: Safety, Trust, Respect, Accountability, Collaboration, and Innovation Relocation Eligibility Learn More & Apply Now! Please consider the following role type definition as you apply for this role Onsite Employees who are working in Onsite roles will work onsite. This includes all production and maintenance employees, as they are essential to the development of our products This position requires security clearance. DCSA Consolidated Adjudication Services (DCSA CAS), an agency of the Department of Defense, handles and adjudicates the security clearance process. More information about Security Clearances can be found on the US Department of State government website here: Location: Aurora, CO We Are RTX As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote. The salary range for this role is 86,800 USD - 165,200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills. Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement. Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance. This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply. RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window. RTX 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, age, disability or veteran status, or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans' Readjustment Assistance Act. Privacy Policy and Terms: Click on this link to read the Policy and Terms
Data Scientist - Senior Consultant Level
Visa Bellevue, Washington
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Overview: Visa Acceptance Intelligence is the foundation for innovative payment experiences through secure, resilient services and a broad ecosystem of technology and payments partners. We are building on that foundation to help businesses make smarter decisions with data. At Visa, we believe AI can transform how commerce works. Through Acceptance Analytics and Intelligence and Visa Intelligent Commerce, we're developing data products that connect information and surface actionable insights for Visa clients. We are looking for a curious, versatile Senior Applied Scientist to help advance this work. You'll partner with scientists, engineers, product leaders, and business stakeholders to design, build, and evaluate intelligent products-from forecasting and NLP solutions to carefully evaluate applications of large language models (LLMs). You will help turn promising ideas into reliable, useful capabilities for customers. If you enjoy working across research and production, questioning assumptions, and solving meaningful problems at scale, we'd like to meet you. Essential Functions: Develop and evaluate time-series analysis and forecasting approaches for business and payments use cases. Apply NLP and LLM techniques to data and intelligence products, including fine-tuning or other model-adaptation methods when appropriate. Design rigorous evaluation strategies for LLM-powered systems, including task-specific quality measures and assessment of reliability. Explore how LLMs can complement established analytical methods in time-series workflows, selecting techniques based on the problem, data, and evaluation results. Improve data extraction and preparation through data wrangling, complex data modeling, and AI-assisted approaches; raise the quality, completeness, and usability of data. Follow and strengthen data-management and governance practices that support high-quality, dependable products. Translate sophisticated technical and business needs into clear specifications with product owners, business partners, cybersecurity teams, and other collaborators. Identify dependencies across upstream and downstream systems and help shape solutions that work across the platform. Find meaningful patterns across relevant data sources and turn them into insights, product opportunities, and recommendations for future platform improvements. Contribute to technical roadmaps and, where relevant, recommend software upgrades or security remediation. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 3 or more years of experience with a PhD. PhD degree in computer science or relevant area. Experience in solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS). Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
11/13/2026
Full time
About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid. At Visa, you'll have the opportunity to create impact at scale - tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world. Join Visa and do work that matters - to you, to your community, and to the world. Progress starts with you. Job Description Overview: Visa Acceptance Intelligence is the foundation for innovative payment experiences through secure, resilient services and a broad ecosystem of technology and payments partners. We are building on that foundation to help businesses make smarter decisions with data. At Visa, we believe AI can transform how commerce works. Through Acceptance Analytics and Intelligence and Visa Intelligent Commerce, we're developing data products that connect information and surface actionable insights for Visa clients. We are looking for a curious, versatile Senior Applied Scientist to help advance this work. You'll partner with scientists, engineers, product leaders, and business stakeholders to design, build, and evaluate intelligent products-from forecasting and NLP solutions to carefully evaluate applications of large language models (LLMs). You will help turn promising ideas into reliable, useful capabilities for customers. If you enjoy working across research and production, questioning assumptions, and solving meaningful problems at scale, we'd like to meet you. Essential Functions: Develop and evaluate time-series analysis and forecasting approaches for business and payments use cases. Apply NLP and LLM techniques to data and intelligence products, including fine-tuning or other model-adaptation methods when appropriate. Design rigorous evaluation strategies for LLM-powered systems, including task-specific quality measures and assessment of reliability. Explore how LLMs can complement established analytical methods in time-series workflows, selecting techniques based on the problem, data, and evaluation results. Improve data extraction and preparation through data wrangling, complex data modeling, and AI-assisted approaches; raise the quality, completeness, and usability of data. Follow and strengthen data-management and governance practices that support high-quality, dependable products. Translate sophisticated technical and business needs into clear specifications with product owners, business partners, cybersecurity teams, and other collaborators. Identify dependencies across upstream and downstream systems and help shape solutions that work across the platform. Find meaningful patterns across relevant data sources and turn them into insights, product opportunities, and recommendations for future platform improvements. Contribute to technical roadmaps and, where relevant, recommend software upgrades or security remediation. Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager. Qualifications Basic Qualifications: 8+ years of relevant work experience with a Bachelor's Degree or at least 5 years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 2 years of work experience with a PhD, OR 11+ years of relevant work experience. Preferred Qualifications: 9 or more years of relevant work experience with a Bachelor's Degree or 7 or more relevant years of experience with an Advanced Degree (e.g., Master's, MBA, JD, MD) or 3 or more years of experience with a PhD. PhD degree in computer science or relevant area. Experience in solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS). Experience with Big Data and Analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce. Information for US Applicants For roles located in the US, the estimated salary range for this position is $162,500.00 to $ 260,400.00 USD per year, which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity.Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, 401(k), FSA/HSA, Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the department. Travel Requirements This position requires travel 5-10% of the time. Mental/Physical Requirements This position will be performed in an office setting. The position will require the incumbent to sit and stand at a desk, communicate in person and by telephone, frequently operate standard office equipment, such as telephones and computers. Visa is an EEO Employer Qualified applicants will receive consideration for employment without regard to race, color religion, sex, national origin, sexual orientation, gender identity, disability or protect veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with the EEOC guidelines and applicable local law.
Manager, Product Management - AI Initiatives
EchoStar Englewood, Colorado
Job Description Job Description What Success Looks Like (Objectives): Candidates must be willing to participate in at least one in-person interview. The Group Product Manager (GPM) of AI Initiatives serves as a strategic product leader addressing the challenge of scaling enterprise AI and intelligent automation capabilities across complex business units. This role solves fragmented product development by building a unified AI Core Platform while managing a cross-functional team of Product Managers, Data Scientists, AI Engineers, and UX Designers. By establishing product management best practices for non-deterministic software and governing ethical deployment, the GPM drives operational efficiency, mitigates technical risks, and transforms enterprise workflows. What Success Looks Like (Objectives): Shape and execute a multi-year AI product portfolio strategy that directly accelerates digital transformation, reduces costs, and improves enterprise user experiences Scale and mentor a team of Product Managers, establishing standard operating procedures for rapid prototyping and non-deterministic software development Drive a cohesive AI Core Platform strategy featuring centralized LLM gateways, retrieval systems, and shared agentic frameworks to eliminate redundant efforts across departments Refine enterprise intake frameworks to evaluate prospective AI applications based on business ROI, technical feasibility, security posture, and data readiness Partner with Legal and Governance teams to enforce model safety, data privacy, bias mitigation, and human-in-the-loop design patterns Core Skills, Competencies, and Key Experiences (What you'll bring) Core Skills and Competencies (What you'll bring): Strategic leadership in overseeing complex enterprise AI/ML portfolios that deliver scalable platform efficiencies and high ROI AI Application and Innovation expertise across Generative AI architecture, LLMs, RAG, agentic workflows, and predictive modeling pipelines Demonstrated ability to communicate complex AI trade-offs to VP and C-level stakeholders while driving cross-functional consensus Skill in establishing product methodologies, managing experimental backlogs, and leading enterprise change management initiatives Data interpretation ability using enterprise telemetry, SQL, and visualization platforms to measure model drift, cost-per-inference, and system productivity Additional Qualifications: MBA or Master's degree in a related technical discipline Minimum Requirements: Minimum Education: Bachelor's degree in a quantitative or business field (Computer Science, Data Science, Engineering, or Business Administration) Minimum Experience: 8+ years of total Digital Product Management experience, with at least 2+ years dedicated to production-grade AI/ML or Generative AI platforms, and 2+ years of direct people management Required Technical Skills: Must have at least 2 years of experience with: Generative AI architecture, machine learning, LLMs, RAG, fine-tuning, or agentic workflows AI platform governance, ethical AI frameworks, and human-in-the-loop design SQL, telemetry analysis, and enterprise visualization tools (Tableau, PowerBI, or Looker) Visa sponsorship not available for this position Benefits: We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment 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 protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish) Salary Range Compensation: $110100 - $157300/YearlyAbout our Department Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow. About Our Company EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
11/11/2026
Full time
Job Description Job Description What Success Looks Like (Objectives): Candidates must be willing to participate in at least one in-person interview. The Group Product Manager (GPM) of AI Initiatives serves as a strategic product leader addressing the challenge of scaling enterprise AI and intelligent automation capabilities across complex business units. This role solves fragmented product development by building a unified AI Core Platform while managing a cross-functional team of Product Managers, Data Scientists, AI Engineers, and UX Designers. By establishing product management best practices for non-deterministic software and governing ethical deployment, the GPM drives operational efficiency, mitigates technical risks, and transforms enterprise workflows. What Success Looks Like (Objectives): Shape and execute a multi-year AI product portfolio strategy that directly accelerates digital transformation, reduces costs, and improves enterprise user experiences Scale and mentor a team of Product Managers, establishing standard operating procedures for rapid prototyping and non-deterministic software development Drive a cohesive AI Core Platform strategy featuring centralized LLM gateways, retrieval systems, and shared agentic frameworks to eliminate redundant efforts across departments Refine enterprise intake frameworks to evaluate prospective AI applications based on business ROI, technical feasibility, security posture, and data readiness Partner with Legal and Governance teams to enforce model safety, data privacy, bias mitigation, and human-in-the-loop design patterns Core Skills, Competencies, and Key Experiences (What you'll bring) Core Skills and Competencies (What you'll bring): Strategic leadership in overseeing complex enterprise AI/ML portfolios that deliver scalable platform efficiencies and high ROI AI Application and Innovation expertise across Generative AI architecture, LLMs, RAG, agentic workflows, and predictive modeling pipelines Demonstrated ability to communicate complex AI trade-offs to VP and C-level stakeholders while driving cross-functional consensus Skill in establishing product methodologies, managing experimental backlogs, and leading enterprise change management initiatives Data interpretation ability using enterprise telemetry, SQL, and visualization platforms to measure model drift, cost-per-inference, and system productivity Additional Qualifications: MBA or Master's degree in a related technical discipline Minimum Requirements: Minimum Education: Bachelor's degree in a quantitative or business field (Computer Science, Data Science, Engineering, or Business Administration) Minimum Experience: 8+ years of total Digital Product Management experience, with at least 2+ years dedicated to production-grade AI/ML or Generative AI platforms, and 2+ years of direct people management Required Technical Skills: Must have at least 2 years of experience with: Generative AI architecture, machine learning, LLMs, RAG, fine-tuning, or agentic workflows AI platform governance, ethical AI frameworks, and human-in-the-loop design SQL, telemetry analysis, and enterprise visualization tools (Tableau, PowerBI, or Looker) Visa sponsorship not available for this position Benefits: We offer meaningful health perks, including flexible spending accounts, HSA, a 401(k) plan with company match, employee stock purchase plan, career opportunities, and a flexible time away plan. Review a benefits summary here: EchoStar Benefits The base pay range shown is a guideline. Individual total compensation will vary based on factors such as qualifications, skill level, and competencies. Compensation is based on the role's location and is subject to change. Candidates need to successfully complete a pre-employment screen, which may include a drug test and DMV check. Our company is committed to fostering an inclusive and equitable workplace where every individual has the opportunity to succeed. We are dedicated to providing individuals with criminal or arrest records a fair chance of employment in accordance with local, state, and federal laws. This job posting will be active for a minimum of 3 days and will continue to extend by 3 days until the position is filled. We pride ourselves on developing and promoting talent as an Equal Employment 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 protected veteran status. EchoStar will accommodate the sincerely held religious beliefs of employees if such accommodations are not undue hardships and are otherwise within the bounds of applicable law. All qualified applicants with arrest or conviction records will be considered for employment in accordance with local, state, and federal law. You may redact any information that identifies age, date of birth, or dates of school/graduation from your application documents before submission and throughout our application process. EchoStar will provide reasonable accommodation to otherwise qualified job applicants and employees with known physical or mental disabilities, unless doing so poses an undue hardship on the Company, poses a direct threat of substantial harm to others, or is otherwise not required by law. EchoStar has a more detailed Accommodation Policy that applies to employees. EchoStar endeavors to make and jobs.accessible to users. Please contact if you would like to discuss the accessibility of our website or need assistance completing the application process. This contact information is for accommodation requests only; do not use this contact information to inquire about the status of applications. If you have questions regarding your application or the recruitment process please email . Click the links to access the following statements: EEO Policy Statement, Pay Transparency, EEOC Know Your Rights (English/Spanish) Salary Range Compensation: $110100 - $157300/YearlyAbout our Department Our Technology teams challenge the status quo and reimagine capabilities across industries. Whether through research and development, technology innovation or solution engineering, our team members play a vital role in connecting consumers with the products and platforms of tomorrow. About Our Company EchoStar is reimagining the future of connectivity. Our business reach spans satellite television service, live-streaming and on-demand programming, smart home installation services, mobile plans and products. Today, our brands include Boost Mobile, DISH TV, Gen Mobile, Hughes and Sling TV.
Boeing
Vehicle Management System (VMS) Requirements Engineer - Senior
Boeing Hazelwood, Missouri
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Want to work on some of the most advanced aerospace systems on the planet? Join a team building next generation fighters, trainers, and avionics. Boeing Defense, Space & Security (BDS) Air Dominance has an exciting opportunity for a Senior Vehicle Management System (VMS) Requirements Engineer to join the VMS Requirements team located in Hazelwood, MO. Propelled by a team with an innovative spirit that transcends cultures, BDS Air Dominance delivers decisive mission advantages through cutting-edge capabilities and supports design, manufacturing, and services for a broad portfolio of military aircraft. These roles will support new product design, development, integration, and flight test for the expanding Air Dominance portfolio, including newly awarded proprietary air dominance platforms. Join the VMS Requirements team to work across disciplines and help us design elements of the VMS Software Application. You will collaborate with our hardware, software, and labs teams to implement and test your designs. Guidance, Navigation and Control (GNC), Electrical, Mechanical, Aerospace, and other engineers are all welcome - to succeed in this role, you will need to leverage your area of expertise and quickly learn on the job about other areas to develop capabilities for our Vehicle Management System Computer. You will get to see tangible results of your efforts as you contribute to an exciting new aircraft development program in the St. Louis area. Boeing is the world's largest aerospace company. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers, and for the world. Position Responsibilities Develop software requirements and design for a Vehicle Management System (VMS) Apply model-based system engineering techniques to design and verify system requirements Interpret requirements to formulate and test mathematical models Work with subject matter experts, design solutions for a variety of capabilities such as airplane subsystems (i.e. actuation), signal processing, redundancy management, system monitoring, and controls Coordinate and integrate requirements across engineering disciplines Verify and validate software against designed requirements in virtual and hardware test environments Conduct analysis to support certification of a Vehicle Management System Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 9+ years work-related experience with a Bachelors degree OR an equivalent combination of work-related experience and technical education. Preferred Qualifications (Desired Skills and Experience): Engineering experience with Vehicle Management Systems Experience with modeling and simulation Experience in Matlab/Simulink/Stateflow Experience with software requirements, software design, hardware/software integration and testing Knowledge of VMS design activities (HW/SW design, integration, modeling, and test procedure development) Knowledge of air vehicle subsystems control architecture Knowledge of air vehicle flight control systems Experience with Microsoft Visio, Clearcase, C++, C#, Visual Studio, Python An active Secret clearance is highly desirable Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $142,800 - $193,200 Applications for this position will be accepted until Nov. 19, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Want to work on some of the most advanced aerospace systems on the planet? Join a team building next generation fighters, trainers, and avionics. Boeing Defense, Space & Security (BDS) Air Dominance has an exciting opportunity for a Senior Vehicle Management System (VMS) Requirements Engineer to join the VMS Requirements team located in Hazelwood, MO. Propelled by a team with an innovative spirit that transcends cultures, BDS Air Dominance delivers decisive mission advantages through cutting-edge capabilities and supports design, manufacturing, and services for a broad portfolio of military aircraft. These roles will support new product design, development, integration, and flight test for the expanding Air Dominance portfolio, including newly awarded proprietary air dominance platforms. Join the VMS Requirements team to work across disciplines and help us design elements of the VMS Software Application. You will collaborate with our hardware, software, and labs teams to implement and test your designs. Guidance, Navigation and Control (GNC), Electrical, Mechanical, Aerospace, and other engineers are all welcome - to succeed in this role, you will need to leverage your area of expertise and quickly learn on the job about other areas to develop capabilities for our Vehicle Management System Computer. You will get to see tangible results of your efforts as you contribute to an exciting new aircraft development program in the St. Louis area. Boeing is the world's largest aerospace company. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers, and for the world. Position Responsibilities Develop software requirements and design for a Vehicle Management System (VMS) Apply model-based system engineering techniques to design and verify system requirements Interpret requirements to formulate and test mathematical models Work with subject matter experts, design solutions for a variety of capabilities such as airplane subsystems (i.e. actuation), signal processing, redundancy management, system monitoring, and controls Coordinate and integrate requirements across engineering disciplines Verify and validate software against designed requirements in virtual and hardware test environments Conduct analysis to support certification of a Vehicle Management System Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 9+ years work-related experience with a Bachelors degree OR an equivalent combination of work-related experience and technical education. Preferred Qualifications (Desired Skills and Experience): Engineering experience with Vehicle Management Systems Experience with modeling and simulation Experience in Matlab/Simulink/Stateflow Experience with software requirements, software design, hardware/software integration and testing Knowledge of VMS design activities (HW/SW design, integration, modeling, and test procedure development) Knowledge of air vehicle subsystems control architecture Knowledge of air vehicle flight control systems Experience with Microsoft Visio, Clearcase, C++, C#, Visual Studio, Python An active Secret clearance is highly desirable Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $142,800 - $193,200 Applications for this position will be accepted until Nov. 19, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
Boeing
Vehicle Management System (VMS) Requirements Engineer - Associate
Boeing Hazelwood, Missouri
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Want to work on some of the most advanced aerospace systems on the planet? Join a team building next generation fighters, trainers, and avionics. Boeing Defense, Space & Security (BDS) Air Dominance has an exciting opportunity for an Associate Vehicle Management System (VMS) Requirements Engineer to join the VMS Requirements team located in Hazelwood, MO. Propelled by a team with an innovative spirit that transcends cultures, BDS Air Dominance delivers decisive mission advantages through cutting-edge capabilities and supports design, manufacturing, and services for a broad portfolio of military aircraft. These roles will support new product design, development, integration, and flight test for the expanding Air Dominance portfolio, including newly awarded proprietary air dominance platforms. Join the VMS Requirements team to work across disciplines and help us design elements of the VMS Software Application. You will collaborate with our hardware, software, and labs teams to implement and test your designs. Guidance, Navigation and Control (GNC), Electrical, Mechanical, Aerospace, and other engineers are all welcome - to succeed in this role, you will need to leverage your area of expertise and quickly learn on the job about other areas to develop capabilities for our Vehicle Management System Computer. You will get to see tangible results of your efforts as you contribute to an exciting new aircraft development program in the St. Louis area. Boeing is the world's largest aerospace company. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers, and for the world. Position Responsibilities Develop software requirements and design for a Vehicle Management System (VMS) Apply model-based system engineering techniques to design and verify system requirements Interpret requirements to formulate and test mathematical models Work with subject matter experts, design solutions for a variety of capabilities such as airplane subsystems (i.e. actuation), signal processing, redundancy management, system monitoring, and controls Coordinate and integrate requirements across engineering disciplines Verify and validate software against designed requirements in virtual and hardware test environments Conduct analysis to support certification of a Vehicle Management System Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2+ years work-related experience with a Bachelors degree OR an equivalent combination of work-related experience and technical education. Preferred Qualifications (Desired Skills and Experience): Engineering experience with Vehicle Management Systems Experience with modeling and simulation Experience in Matlab/Simulink/Stateflow Experience with software requirements, software design, hardware/software integration and testing Knowledge of VMS design activities (HW/SW design, integration, modeling, and test procedure development) Knowledge of air vehicle subsystems control architecture Knowledge of air vehicle flight control systems Experience with Microsoft Visio, Clearcase, C++, C#, Visual Studio, Python An active Secret clearance is highly desirable Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $93,500 - $126,500 Applications for this position will be accepted until Nov. 18, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
11/07/2026
Full time
Job Description At Boeing, we innovate and collaborate to make the world a better place. We're committed to fostering an environment for every teammate that's welcoming, respectful and inclusive, with great opportunity for professional growth. Find your future with us. Want to work on some of the most advanced aerospace systems on the planet? Join a team building next generation fighters, trainers, and avionics. Boeing Defense, Space & Security (BDS) Air Dominance has an exciting opportunity for an Associate Vehicle Management System (VMS) Requirements Engineer to join the VMS Requirements team located in Hazelwood, MO. Propelled by a team with an innovative spirit that transcends cultures, BDS Air Dominance delivers decisive mission advantages through cutting-edge capabilities and supports design, manufacturing, and services for a broad portfolio of military aircraft. These roles will support new product design, development, integration, and flight test for the expanding Air Dominance portfolio, including newly awarded proprietary air dominance platforms. Join the VMS Requirements team to work across disciplines and help us design elements of the VMS Software Application. You will collaborate with our hardware, software, and labs teams to implement and test your designs. Guidance, Navigation and Control (GNC), Electrical, Mechanical, Aerospace, and other engineers are all welcome - to succeed in this role, you will need to leverage your area of expertise and quickly learn on the job about other areas to develop capabilities for our Vehicle Management System Computer. You will get to see tangible results of your efforts as you contribute to an exciting new aircraft development program in the St. Louis area. Boeing is the world's largest aerospace company. We are engineers and technicians. Skilled scientists and thinkers. Bold innovators and dreamers. Join us, and you can build something better for yourself, for our customers, and for the world. Position Responsibilities Develop software requirements and design for a Vehicle Management System (VMS) Apply model-based system engineering techniques to design and verify system requirements Interpret requirements to formulate and test mathematical models Work with subject matter experts, design solutions for a variety of capabilities such as airplane subsystems (i.e. actuation), signal processing, redundancy management, system monitoring, and controls Coordinate and integrate requirements across engineering disciplines Verify and validate software against designed requirements in virtual and hardware test environments Conduct analysis to support certification of a Vehicle Management System Basic Qualifications (Required Skills and Experience): Bachelor of Science degree in Engineering, Engineering Technology (including Manufacturing Technology), Computer Science, Data Science, Mathematics, Physics, Chemistry or non-US equivalent qualifications directly related to the work statement 2+ years work-related experience with a Bachelors degree OR an equivalent combination of work-related experience and technical education. Preferred Qualifications (Desired Skills and Experience): Engineering experience with Vehicle Management Systems Experience with modeling and simulation Experience in Matlab/Simulink/Stateflow Experience with software requirements, software design, hardware/software integration and testing Knowledge of VMS design activities (HW/SW design, integration, modeling, and test procedure development) Knowledge of air vehicle subsystems control architecture Knowledge of air vehicle flight control systems Experience with Microsoft Visio, Clearcase, C++, C#, Visual Studio, Python An active Secret clearance is highly desirable Conflict of Interest: Successful candidates for this job must satisfy the Company's Conflict of Interest (COI) assessment process. Drug Free Workplace: Boeing is a Drug Free Workplace (DFW) where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. The Boeing 401(k) helps you save for your future, with contributions from Boeing that can help you grow your retirement savings. Our best-in-class retirement benefit features: Best in class 401(k) plan: we'll match your contributions dollar for dollar, up to 10% of eligible pay with Immediate 100% vesting Student Loan Match: The Boeing 401(k) Student Loan Match allows eligible enrolled U.S. employees to have their qualified student loan debt payments counted, along with any match-eligible contributions they make, for purposes of determining the Company Match to employees' Boeing 401(k) accounts. Pay & Benefits: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $93,500 - $126,500 Applications for this position will be accepted until Nov. 18, 2026 Export Control Requirements: This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a "U.S. Person" as defined by 22 C.F.R. 120.62 is required. "U.S. Person" includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. Export Control Details: US based job, US Person required Education Bachelor's Degree or Equivalent Required Relocation This position offers relocation based on candidate eligibility. Security Clearance This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. This position requires ability to obtain program access, for which the U.S. Government requires U.S. Citizenship only. Visa Sponsorship Employer will not sponsor applicants for employment visa status. Shift This position is for 1st shift Equal Opportunity Employer: Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law.
AWS Databricks Engineer
Credence McLean, Virginia
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries and dive into important, world-changing federal challenges. Position Summary Credence has an immediate need for an AWS Databricks Engineer to join our growing AI and Automation practice. You will serve as a key technical contributor responsible for designing, building, and optimizing scalable cloud-based data solutions using AWS and Databricks. You'll develop robust data pipelines, implement modern data lakehouse architectures, and collaborate across engineering, data science, and stakeholder teams to deliver secure, high-performance data capabilities that advance federal missions. Responsibilities include, but are not limited to, the duties listed below: Databricks Engineering Design, build, and optimize scalable data pipelines and processing workflows using Databricks, Apache Spark, PySpark, and Delta Lake. Data Lakehouse Architecture Design and implement modern lakehouse solutions using Databricks and AWS services. Apply medallion architecture (Bronze/Silver/Gold layers) to improve data quality, governance, lineage, performance, and accessibility. AWS Data Integration Build and maintain ETL/ELT pipelines integrating structured, semi-structured, and unstructured data across AWS services such as S3, Glue, RDS, Redshift, Lambda, and related cloud data platforms. Data Transformation & Optimization Develop efficient data transformation workflows using SQL, Python, and PySpark. Optimize Spark workloads, queries, clusters, and storage configurations for performance, reliability, and cost efficiency. Data Governance & Quality Implement data quality, cataloging, lineage, governance, and access-control practices across Databricks and AWS environments, including the use of Unity Catalog where applicable. Cloud Automation & DevOps Automate data platform deployments and workflows using Infrastructure as Code (IaC), CI/CD pipelines, Git-based development practices, and AWS-native deployment tools. Collaborative Engineering Work closely with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and technical requirements into production-ready data solutions. Technical Rigor & Documentation Develop clean, maintainable, and well-documented code while following engineering, security, and federal development standards. Support code reviews, testing, troubleshooting, and technical design documentation. Requirements U.S. citizenship with the ability to obtain and maintain a Secret clearance is required. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field. Hands-on experience in data engineering, cloud engineering, or related technical roles. Hands-on experience building and maintaining production data solutions using Databricks, Apache Spark, and PySpark. Strong experience with AWS data services such as S3, Glue, RDS, Redshift, Lambda, IAM, and CloudWatch. Strong understanding of ETL/ELT processes, data lake and lakehouse architectures, data modeling, and large-scale data processing. Hands-on experience with Delta Lake, SQL, Python, and Spark-based data processing. Experience developing, scheduling, monitoring, and troubleshooting production data pipelines and workflows. Experience with Git and CI/CD platforms such as GitLab, GitHub Actions, Jenkins, or AWS CodePipeline. Understanding of cloud security, identity and access management, encryption, and secure data-handling practices. Strong communication skills and a client-oriented mindset with the ability to collaborate across technical and non-technical teams. Preferred Active Secret clearance CompTIA Security+ (Sec+) certification Databricks certification(s) Experience implementing Databricks Lakehouse Architecture and medallion architecture using Bronze, Silver, and Gold data layers. Experience with Databricks Unity Catalog, Delta Live Tables, Databricks Workflows, or similar data orchestration and governance capabilities. Strong Python proficiency and experience with data engineering libraries and frameworks such as PySpark, Pandas, and Pydantic. Experience with Infrastructure as Code tools such as Terraform, OpenTofu, AWS CDK, or CloudFormation. AWS and/or Databricks certifications, such as AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect, or Databricks Certified Data Engineer credentials. Knowledge of federal cybersecurity, RMF, FedRAMP, or other government regulatory and compliance frameworks. Experience delivering cloud-native data solutions within federal government or other highly regulated environments. Salary Range: $155,000 - $185,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources
11/07/2026
Full time
Overview Join a team where innovation meets mission. Our AI, cloud, cyber, and modernization solutions save agencies thousands of hours, safeguard national security, and strengthen health and humanitarian missions worldwide. With 1,700+ team members, 1,500+ AI/data experts, and 100+ prime contracts, we deliver at scale and with purpose. We've been recognized as a Top Workplace by the Washington Post for six straight years and named to the Inc. 5000 Fastest Growing Private Companies 13 of the past 14 years. Credence is a welcoming home for those looking to grow and contribute to positive change. We encourage all employees to expand beyond their boundaries and dive into important, world-changing federal challenges. Position Summary Credence has an immediate need for an AWS Databricks Engineer to join our growing AI and Automation practice. You will serve as a key technical contributor responsible for designing, building, and optimizing scalable cloud-based data solutions using AWS and Databricks. You'll develop robust data pipelines, implement modern data lakehouse architectures, and collaborate across engineering, data science, and stakeholder teams to deliver secure, high-performance data capabilities that advance federal missions. Responsibilities include, but are not limited to, the duties listed below: Databricks Engineering Design, build, and optimize scalable data pipelines and processing workflows using Databricks, Apache Spark, PySpark, and Delta Lake. Data Lakehouse Architecture Design and implement modern lakehouse solutions using Databricks and AWS services. Apply medallion architecture (Bronze/Silver/Gold layers) to improve data quality, governance, lineage, performance, and accessibility. AWS Data Integration Build and maintain ETL/ELT pipelines integrating structured, semi-structured, and unstructured data across AWS services such as S3, Glue, RDS, Redshift, Lambda, and related cloud data platforms. Data Transformation & Optimization Develop efficient data transformation workflows using SQL, Python, and PySpark. Optimize Spark workloads, queries, clusters, and storage configurations for performance, reliability, and cost efficiency. Data Governance & Quality Implement data quality, cataloging, lineage, governance, and access-control practices across Databricks and AWS environments, including the use of Unity Catalog where applicable. Cloud Automation & DevOps Automate data platform deployments and workflows using Infrastructure as Code (IaC), CI/CD pipelines, Git-based development practices, and AWS-native deployment tools. Collaborative Engineering Work closely with data engineers, software engineers, data scientists, cloud engineers, and mission stakeholders to translate business and technical requirements into production-ready data solutions. Technical Rigor & Documentation Develop clean, maintainable, and well-documented code while following engineering, security, and federal development standards. Support code reviews, testing, troubleshooting, and technical design documentation. Requirements U.S. citizenship with the ability to obtain and maintain a Secret clearance is required. Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related technical field. Hands-on experience in data engineering, cloud engineering, or related technical roles. Hands-on experience building and maintaining production data solutions using Databricks, Apache Spark, and PySpark. Strong experience with AWS data services such as S3, Glue, RDS, Redshift, Lambda, IAM, and CloudWatch. Strong understanding of ETL/ELT processes, data lake and lakehouse architectures, data modeling, and large-scale data processing. Hands-on experience with Delta Lake, SQL, Python, and Spark-based data processing. Experience developing, scheduling, monitoring, and troubleshooting production data pipelines and workflows. Experience with Git and CI/CD platforms such as GitLab, GitHub Actions, Jenkins, or AWS CodePipeline. Understanding of cloud security, identity and access management, encryption, and secure data-handling practices. Strong communication skills and a client-oriented mindset with the ability to collaborate across technical and non-technical teams. Preferred Active Secret clearance CompTIA Security+ (Sec+) certification Databricks certification(s) Experience implementing Databricks Lakehouse Architecture and medallion architecture using Bronze, Silver, and Gold data layers. Experience with Databricks Unity Catalog, Delta Live Tables, Databricks Workflows, or similar data orchestration and governance capabilities. Strong Python proficiency and experience with data engineering libraries and frameworks such as PySpark, Pandas, and Pydantic. Experience with Infrastructure as Code tools such as Terraform, OpenTofu, AWS CDK, or CloudFormation. AWS and/or Databricks certifications, such as AWS Certified Data Engineer - Associate, AWS Certified Solutions Architect, or Databricks Certified Data Engineer credentials. Knowledge of federal cybersecurity, RMF, FedRAMP, or other government regulatory and compliance frameworks. Experience delivering cloud-native data solutions within federal government or other highly regulated environments. Salary Range: $155,000 - $185,000 annually. Actual compensation will be determined based on the selected candidate's experience, education, certifications, skills, and overall qualifications. Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k, IRA) Life Insurance (Basic, Voluntary & AD&D) Paid Time Off (Vacation, Sick & Public Holidays) Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Wellness Resources

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