SQL Engineer
About The Position
Leidos is hiring a SQL Engineer to support a highly visible, data-driven application that powers analytics and reporting across the organization. The role develops complex queries, structures data for dashboards, optimizes performance at scale, and delivers high-quality datasets used by stakeholders. The primary development team operates in Gaithersburg, Maryland, with onsite work supported in Alexandria and Chantilly, Virginia; Aurora, Colorado; St. Louis, Missouri; and Tucson, Arizona. The engineer joins a high-performing team working to advance digital engineering and mission operations intelligence for a customer. The position offers work supporting real-time decision-making, collaboration with engineering teams and stakeholders across programs, and opportunities to build expertise in large-scale data systems, performance optimization, and SQL engineering.
Requirements
- Bachelor’s degree with 8–12 years of experience, or a master’s degree with 6–10 years of experience.
- U.S. citizenship.
- Active TS/SCI clearance and ability to successfully pass a polygraph.
- Expert-level SQL skills, including complex joins across large datasets, query optimization and execution plan analysis, aggregations, subqueries, and window functions.
- Strong experience with relational databases such as PostgreSQL, MySQL, Oracle, or similar.
- Experience working with large-scale data supporting analytics and reporting.
- Proficiency in Linux environments.
- Ability to work independently and solve complex data challenges.
Nice To Haves
- Experience with Grafana or similar visualization tools.
- Python for data manipulation, including pandas, scripting, or automation.
- Experience with materialized views, caching strategies, or query acceleration techniques.
Responsibilities
- Develop advanced, high-performance SQL queries across large and complex datasets, including multi-table joins, window functions, and aggregations.
- Optimize query performance using execution plans, indexing strategies, and query refactoring.
- Ensure data accuracy and integrity across reporting datasets.
- Troubleshoot and resolve data issues across database and application layers.
- Shape and structure data for efficient and intuitive dashboard visualization.
- Collaborate with ETL engineers and dashboard developers to ensure reliable end-to-end data delivery.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
