About the role
**This position is contingent upon contract award.** Leidos is seeking a Data Engineer to support the Department of Veterans Affairs (VA) Summit Advanced Tooling, Lakehouse, and Artificial Intelligence Services (ATLAS) program. The engineer will work with VA customers, data owners, analysts, and platform teams to onboard data sources and deliver reliable, analytics-ready data products using approved Summit engineering and governance patterns. 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. Primary Responsibilities Assess customer data and analytics requirements with product owners, business analysts, and data stewards; translate needs into scoped ingestion and transformation tasks. Develop, configure, test, and maintain batch or event-driven data pipelines for new and migrated data sources using approved platform patterns.
Build customer-focused transformations, semantic views, and consumption-ready datasets for reporting, analytics, and data science. Perform source-to-target reconciliation, freshness checks, data quality validation, and defect remediation; document evidence for customer acceptance. Implement approved access, metadata, lineage, and security requirements in coordination with governance and security teams. Monitor pipeline health and performance, troubleshoot failed loads and data discrepancies, and support production incidents and corrective actions.
Document pipeline configurations, dependencies, runbooks, and handoffs; contribute improvements to reusable templates and automation. Coordinate customer onboarding and technical handover with Summit platform and customer enablement teams. Required Qualifications Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline and 8+ 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 ability to independently implement data pipelines using established design and 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 working directly with customer teams to translate data requirements into accepted, production-ready datasets. 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 $87,100.00 - $157,450.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.
Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. 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 $17.2 billion for the fiscal year ended January 2, 2026. 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 here.
Securing Your Data Leidos will never ask you to provide payment-related information at any part of the employment application process. And Leidos will communicate with you only through emails that are sent from a Leidos.com email address. If you receive an email purporting to be from Leidos that asks for payment-related information or any other personal information, please report the email to spam.leidos@leidos.com.
Commitment and Diversity 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.
Minimum requirements
- Bachelor's degree in Computer Science or related field and 8+ years of data engineering experience designing complex solutions.
- Proficient in SQL and Python for developing and troubleshooting production data pipelines.
- Experience with cloud data platforms (Azure, AWS, or Google Cloud) and ability to obtain VA Public Trust suitability (Tier 2).
This listing was parsed by AI and may not be complete. Check the official posting on Leidos's site for the most accurate information.