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SQL Engineer SME

Job in Aurora, Arapahoe County, Colorado, 80012, USA
Listing for: Leidos
Full Time position
Listed on 2026-05-08
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Description

If you’ve spent the last few years sharpening your skills in SQL, Java, and mission‑driven engineering, and you’re ready for work that actually moves the needle, this is the opportunity cleared engineers look for when they’re ready for real impact. If you take pride in writing your own résumé, owning your craft, and delivering results that senior leaders actually see, you’ll thrive here.

We’re hiring a SQL Engineer SME to support a highly visible, data‑driven application that powers analytics and reporting across the organization. In this role, you’ll write complex queries, shape data for dashboards, optimize performance at scale, and deliver high‑quality datasets that stakeholders rely on every day. Our primary development team operates out of Gaithersburg, MD, but innovation doesn’t stop there. We’re able to support onsite engineers in Alexandria, VA;
Chantilly, VA;
Aurora, CO;
St. Louis, MO; and Tucson, AZ, giving top talent multiple paths to join the mission.

Why This Role Stands Out
  • 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
Key Responsibilities
  • Develop advanced, high-performance SQL queries across large, complex datasets (multi‑table joins, window functions, 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
Basic Qualifications
  • Bachelor’s degree with 12‑15 years of experience, or Master’s with 10‑13 years of experience. May possess a Doctorate in technical domain
  • U.S. Citizenship
  • Active TS/SCI with the 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 (Postgre

    SQL, MySQL, Oracle, or similar)
  • Experience working with large‑scale data supporting analytics/reporting
  • Proficiency in Linux environments
  • Ability to work independently and solve complex data challenges
Preferred Qualifications
  • Experience with Grafana or similar visualization tools
  • Python for data manipulation (pandas, scripting, automation)
  • Experience with materialized views, caching strategies, or query acceleration techniques
Commitment to Non-Discrimination

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.

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