Senior Data Engineer

00100 LEIDOS, INC.; United States; Remote; USD 108,000 - 195,000; Full time

Benefits offered by this job

Competitive compensation

Health and Wellness programs

Income Protection

Paid Leave and Retirement

Job summary

Leidos is seeking a Senior Data Engineer to support the Department of Veterans Affairs ATLAS program. This role focuses on building reusable ingestion, transformation, and validation capabilities for the Summit Data Platform, across multiple workgroups.

Remote work within CONUS is allowed, with security and time-zone requirements for Eastern Time collaboration. Applicants should be prepared for after-hours support during critical outages or planned maintenance, and mentor teams on reusable data

Qualifications

• Bachelor's degree in CS/IT/Engineering or related field; 10+ years of relevant data engineering experience.
• Hands-on 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; understanding of storage, orchestration, and secure data access.
• Experience with data modeling, source-to-target reconciliation, data quality testing, and pipeline monitoring.
• Ability to document data flows, dependencies, and procedures; collaborate with engineers, analysts, and data owners.
• Demonstrated experience designing reusable production data engineering frameworks or shared services; independently resolve complex integration issues.
• Experience improving data engineering delivery through automation, testing, CI/CD, or standardized deployment patterns.
• Ability to obtain and maintain VA Public Trust suitability (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 or recovery patterns.
• Optimize cloud data processing for performance, reliability, and cost; establish practical measures and tuning recommendations.
• Provide guidance on data integration, semantic modeling, and federated query capabilities; collaborate with architecture and governance leads.
• Integrate automated testing, observability, CI/CD, infrastructure-as-code, and secure access controls into production data engineering workflows.
• Troubleshoot cross-platform failures and data-quality issues; coordinate root-cause analysis and operational readiness.
• Mentor engineers and promote adoption of common capabilities across teams.

Skills

SQL

Python

Cloud platforms

Data modeling

Data quality testing

Documentation

CI/CD

Education

Bachelor's degree in Computer Science/Information Technology/Engineering or related technical discipline

Tools

Azure Data Factory

Azure Data Lake Storage

Azure Databricks

Spark

Delta Lake

Collibra/Immuta/Starburst

Job description

This position is contingent upon contract award. 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. 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.

Pay Range

Pay Range: Pay Range $107,900.00 - $195,050.00 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.

Company Overview

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 $17.2billion for the fiscal year ended January2,2026. For more information, visit www.Leidos.com.

Culture & Spirit

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. Step10 is ancient history. We're already at step30—and moving faster than anyone else dares.

Pay and Benefits

• Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave and Retirement

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.