SQL Engineer

Leidos•Gaithersburg, MD
•Onsite

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 focuses on writing complex SQL queries, shaping data for dashboards, optimizing performance at scale, and delivering high-quality datasets used by stakeholders. The position joins a high-performing team supporting digital engineering and mission operations intelligence for a customer. The primary development team operates in Gaithersburg, Maryland, with onsite work also supported in Alexandria, Virginia; Chantilly, Virginia; Aurora, Colorado; St. Louis, Missouri; and Tucson, Arizona.

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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