Responsibilities
- Support analysts by delivering large datasets, methodologies, and visualizations to address pressing intelligence questions.
- Ingest, clean, store, and analyze data to enable informed decision making.
- Provide experienced support for extract, transform, load (ETL) workflows.
- Engage regularly with data scientists, analysts, and managers to align data pipelines with analytical needs.
- Load large datasets into on‑premises and cloud environments and develop and maintain ingestion algorithms and schemas for large datasets.
- Analyze new large‑volume datasets to optimize data ingest processes.
- Support the creation of Apache NiFi schemas for new data loads.
- Develop software tools to preprocess, modify, aggregate, load, index, and archive large data collections into clusters in near real time.
- Ensure proper access controls are implemented for data security.
- Generate metrics to track data ingest statistics, maintaining data integrity and provenance.
- Document data flows according to customer standards.
Requirements
- Active TS/SCI with Poly to be considered.
- Bachelor’s degree in Computer Science, Computer Engineering, Systems Engineering, or closely related discipline with at least 4 years of experience; OR a Master’s degree with at least 2 years of experience; OR 8+ years of experience in lieu of a degree.
- Experience with AWS cloud services, including long‑term storage options, and cloud‑based database services.
- Experience understanding SQL database structures and mapping between different SQL databases.
- Experience working with Apache NiFi.
- Experience handling large data and high‑performance compute clusters such as Hadoop or similar.
- Experience with API development techniques.
- Experience developing and deploying ETL processes for large data sets.
- Experience creating operating system level scripts to perform ETL operations on SQL databases.
- Experience with version control systems, preferably Git.
- Experience testing software solutions for data extraction, transformation, and loading using efficient languages such as NiFi, Python, and SQL.
- Experience implementing multiprocessing data flows to parallelize ingest operations.
Technologies
- AWS
- Apache NiFi
- Hadoop
- Python
- SQL
- Git
Benefits
- competitive compensation
- Health and Wellness programs
- Income Protection
- Paid Leave
- Retirement
Original Posting
July 7, 2026
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. Leidos crafts compensation packages that reflect the importance of the work, including 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
Be aware of fake employment opportunities using Leidos’ name. Leidos will never ask you for payment-related information during the employment application process or advance money as part of the hiring process. Official communication will come from Leidos email addresses generated by the Leidos.com system.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, 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 qualified applicants with criminal history.
