Senior Data Engineer

Leidos; Washington (District of Columbia); Remote; USD 108,000 - 195,000; Full time

Job summary

Leidos is seeking a Senior Data Engineer to support the VA ATLAS program, focusing on reusable data ingestion, transformation, and quality frameworks. The role emphasizes scalable, reliable data platforms with cloud-based processing and secure access controls.

Collaboration across teams and adherence to enterprise architecture are essential. Remote work within CONUS is allowed, with Eastern Time alignment and potential after-hours support for outages.

Qualifications

• Bachelor's degree in Computer Science, IT, Engineering, or related field with 10+ years in data engineering.
• Hands-on experience building production data ingestion, ETL/ELT, transformation, and validation pipelines using SQL and Python.
• Cloud-based data platforms and services in Azure, AWS, or Google Cloud; understanding of storage, orchestration, and secure data access.
• Experience with data modeling, source-to-target reconciliation, data quality testing, and pipeline monitoring/troubleshooting.
• Ability to document technical designs, data flows, dependencies, and operational procedures; collaborate with engineers, analysts, and data owners.
• Demonstrated experience designing reusable production data engineering frameworks or shared services and resolving complex integration/performance issues.
• Experience improving data engineering delivery through automation, testing, CI/CD, or standardized deployment patterns.
• Ability to obtain and maintain the required VA Public Trust suitability determination (Tier 2/Moderate Risk).

Responsibilities

• Design and implement reusable data ingestion, transformation, orchestration, and validation frameworks aligned with the Summit roadmap and enterprise architecture.
• Lead engineering of shared pipeline templates, data-quality gates, lineage instrumentation, and automated deployment/recovery patterns.
• Optimize cloud data processing for performance, reliability, and cost; establish metrics and tuning recommendations.
• Provide guidance on complex data integration, semantic modeling, and federated queries; collaborate with architects/governance leads.
• Incorporate automated testing, observability, CI/CD, and infrastructure-as-code where appropriate into production workflows.
• Troubleshoot cross-platform data-quality issues; drive root-cause analysis, remediation, and operational readiness.
• Maintain design docs, standards, runbooks, and technical decision records.
• Mentor engineers and coordinate with customer teams to promote adoption of reusable capabilities.

Skills

SQL

Python

ETL/ELT

Data Modeling

CI/CD

Cloud Data Platforms

Data Quality

Observability

Mentoring

Automation

Education

Bachelor's degree in Computer Science, IT, or Engineering

Tools

Azure Data Factory

Azure Data Lake Storage

Azure Databricks

Spark

Delta Lake

Job description

Description

Leidos is seeking a Senior Data Engineer to support the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS) program.

This position is contingent upon contract award.

Remote work within CONUS is subject to VA security and system-access requirements. Must support Eastern Time collaboration and applicable production coverage. Occasional after-hours or weekend support may be required for critical outages or planned maintenance.

This role focuses on engineering reusable ingestion, transformation, quality, and automation capabilities that improve the scalability, reliability, and efficiency of the Summit Data Platform across customer workgroups.

Primary Responsibilities

• Design and implement reusable data ingestion, transformation, orchestration, and validation frameworks aligned with the Summit product roadmap and approved enterprise architecture.

• Lead engineering of shared pipeline templates, data-quality gates, lineage instrumentation, and automated deployment or recovery patterns that reduce manual effort across workgroups.

• Optimize cloud data processing, partitioning, performance, reliability, and cost; establish practical technical measures and tuning recommendations.

• Provide technical guidance on complex data integration, source parity, semantic modeling, and federated query capabilities; collaborate with architecture and governance leads.

• Integrate automated testing, observability, CI/CD, infrastructure-as-code where appropriate, and secure access controls into production data engineering workflows.

• Troubleshoot complex cross-platform failures and data-quality issues; coordinate root-cause analysis, remediation, rollback, and operational readiness.

• Maintain reusable design documentation, standards implementation guidance, runbooks, and technical decision records.

• Mentor engineers and coordinate with customer-requested engineering teams to promote adoption and reuse of common capabilities.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline and 10+ years of relevant experience, including demonstrated expertise designing and implementing complex data engineering solutions.

• Hands-on experience developing and troubleshooting production data ingestion, ETL/ELT, transformation, and validation pipelines using SQL and Python.

• Experience with cloud-based data platforms and services in Microsoft Azure, AWS, or Google Cloud; understanding of storage, orchestration, and secure data access.

• Experience with data modeling, source-to-target reconciliation, data quality testing, and pipeline monitoring or incident troubleshooting.

• Ability to document technical designs, data flows, dependencies, and operational procedures and collaborate with engineers, analysts, and data owners.

• Demonstrated experience designing reusable production data engineering frameworks or shared services and independently resolving complex integration and performance issues.

• Experience improving data engineering delivery through automation, testing, CI/CD, or standardized deployment patterns.

• Ability to obtain and maintain the required VA Public Trust suitability determination (Tier 2/Moderate Risk).

Preferred Qualifications

• Highly Preferred : Direct, hands-on experience supporting the VA Summit Data Platform is highly preferred; experience with other VA enterprise data and analytics environments is also valuable.

• Experience with production-scale Spark/Databricks or Delta Lake processing and platform-wide performance or cost optimization.

• Experience mentoring engineers or coordinating shared engineering capabilities across multiple delivery teams.

• Hands-on Microsoft Azure data engineering experience, including Azure Data Factory, Azure Data Lake Storage, Azure Databricks, Spark, or comparable services.

• Familiarity with Delta Lake/lakehouse architectures, data catalogs and lineage, and governance tools such as Collibra, Immuta, or Starburst.

• Experience supporting federal IT systems and complying with security, privacy, and data-access requirements.

• Experience with Agile delivery and relevant cloud/data engineering certifications. such as Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer Professional, AWS Certified Data Engineer – Associate, or equivalent.

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:

November 6, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com .

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits .

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at [e-mail] .

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission (https://reportfraud.ftc.gov/#/) .

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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REQNUMBER: R-00196492-OTHLOC-10160

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. Leidos will consider qualified applicants with criminal histories for employment in accordance with relevant Laws. Leidos is an equal opportunity employer/disability/vet.