Mid-Level SQL Engineer

Description

If you’ve been building your skills in SQL, data engineering fundamentals, and mission‑driven development
, and you’re ready for work that actually moves the needle, this is the kind of opportunity cleared engineers pursue when they want to grow while making real impact. If you take pride in your craft, enjoy solving meaningful data problems, and want your work to support a mission with visibility at senior levels, you’ll thrive here.

• High Impact: Your work directly supports a widely used application that drives real‑time decision‑making
• High Visibility: Partner with engineering teams and key stakeholders across programs
• Career Growth: Expand your expertise in large‑scale data systems, performance optimization, and advanced SQL engineering
• Challenging Work: Tackle complex data problems, not routine queries

• SQL Development: Write complex SQL queries involving joins, aggregations, filtering, subqueries, and window functions to support dashboards
• Data Shaping for Visualization: Structure query outputs in a way that is optimized for dashboard consumption (clear naming, grouping, formatting)
• Dashboard Support: Partner with dashboard developers to define and deliver the data required for visualizations and reporting
• Data Validation: Ensure accuracy, consistency, and completeness of datasets used in dashboards
• Query Performance: Identify inefficient queries and make basic improvements to support responsive dashboards
• Requirements Translation: Translate dashboard and reporting requirements into effective SQL queries

• Bachelor’s degree in computer science, Software Engineering, or related field with 4–8 years of experience; or Master’s with 2–6 years
• US Citizenship
• Active TS/SCI with ability to successfully pass a Polygraph
• Strong SQL skills, including the ability to write advanced queries (joins, aggregations, subqueries, window functions)
• Experience working with enterprise relational databases (Postgre
  
  SQL, MySQL, Oracle, etc.)
• Background supporting analytics, dashboards, or reporting pipelines
• Comfortable working in Linux‑based environments
• Proven ability to work independently on data‑centric tasks and ensure data quality

• Experience with Grafana, Tableau, or similar visualization tools
• Exposure to CI/CD pipelines
• Experience working in Agile environments

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.