Senior Data Engineer
LeidosAlexandria, Virginia, United States • Gaithersburg, Maryland, United States
Posted March 25, 2026
92300 - 166850 USD
Full Time
About the Company
Leidos is a Fortune 500® innovation company rapidly addressing the world’s most vexing challenges in national security and health. The company's global workforce of 48,000 collaborates to create smarter technology solutions for customers in heavily regulated industries. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $15.4 billion for the fiscal year ended December 29, 2023. Leidos was cited for the meaningful work employees perform that is challenging, impactful, and aligned with our customers’ missions as reasons professionals want to work and stay at our company. Leidos has also been named to lists including Forbes’ Best Employers for Diversity, Forbes’ America’s Best Employers for Women, Military Times Best for Vets Employers, and Ethisphere Institute’s World's Most Ethical Companies®. Employees enjoy career enrichment opportunities available through mobility and development and experience rewarding relationships with supportive supervisors and talented colleagues and customers. Employees appreciate our flexible work environment, allowing for and encouraging a true work-life balance. Our professionals are also excited about our Employee Resource Groups, like the Collaborative Outreach with Remote and Embedded Employees (CORE), which strives to create an environment where every employee, regardless of location, feels fully engaged as a valued employee of Leidos. Your most important work is ahead, visit careers.leidos.com for our latest opportunities.
Job Description
The Leidos Digital Modernization sector is seeking a Senior Data Engineer to support the delivery, enhancement, and adoption of enterprise data and analytics products used across multiple DoD organizations.
Requirements
- Design, build, and maintain data pipelines and architectures
- Apply software engineering and ETL principles to ensure data accuracy, quality, consistency, and scalability
- Collaborate with DataOps teams to prepare, automate, and optimize data workflows for real-time analytics
- Implement and enforce data security policies, including data encryption and access controls
- Develop and maintain documentation for data pipelines, models, and governance policies
- Provide Tier-2 and Tier-3 support for enterprise data products and services
- Conduct root cause analysis for recurring issues and implement solutions to prevent future occurrences
- Develop and maintain training materials and a centralized knowledge repository for data operations
- Foster a collaborative team environment that encourages innovation and continuous improvement
- Ensure compliance with all applicable regulations related to data privacy and security
Benefits
- Health, Dental, and Vision Insurance
- 401(k) Plan
- Retirement Plan
- Paid Time Off