Data Engineer

00100 LEIDOS, INC.; United States; Remote; USD 87,000 - 157,000; Full time

Job summary

Leidos seeks a Data Engineer to support the VA Summit ATLAS program, onboarding data sources and delivering analytics-ready data products. You will work with VA customers, data owners, and platform teams to implement governance patterns and secure data access, while ensuring ETL/ELT pipelines are robust and scalable.

Remote work within CONUS is allowed with VA security requirements; collaboration in Eastern Time is expected, with some after-hours coverage for outages.

Qualifications

• Bachelor's degree in a related technical discipline with 8+ years of experience in data engineering.
• Hands-on experience building production data ingestion, ETL/ELT, transformation, and validation pipelines using SQL and Python.
• Experience with cloud data platforms and services in Azure, AWS, or Google Cloud.
• Experience with data modeling, source-to-target reconciliation, data quality testing, and pipeline monitoring.
• Ability to document designs, data flows, dependencies, and procedures; collaborate with engineers and data owners.
• Demonstrated ability to independently implement data pipelines using established design and deployment patterns.
• Ability to obtain and maintain the VA Public Trust suitability determination (Tier 2/Moderate Risk).

Responsibilities

• Assess customer data needs with product owners and data stewards; translate needs into ingestion tasks.
• Develop and maintain batch or event-driven data pipelines for new/migrated data sources.
• Create transformations and consumption-ready datasets for reporting, analytics, and data science.
• Perform reconciliation, freshness checks, data quality validation, and remediate defects.
• Implement access, metadata, lineage, and security requirements with governance and security teams.
• Monitor pipelines, troubleshoot loads and data discrepancies; support incidents.
• Document configurations, dependencies, runbooks; contribute templates and automation.
• Coordinate onboarding and handover with Summit platform teams.

Skills

SQL

Python

ETL/ELT

Data pipelines

Data modeling

Education

Bachelor's degree in Computer Science or related

Tools

Azure Data Factory

Azure Data Lake Storage

Azure Databricks

Spark

Collibra

Immuta

Starburst

Delta Lake

Job description

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.

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.

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 [e-mail].

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.