SQL Engineer

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 owning your craft and delivering results that senior leaders actually see, you’ll thrive here.

SQL Engineer 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, with onsite support options in Alexandria, VA;
Chantilly, VA;
Aurora, CO;
St. Louis, MO; and Tucson, AZ.

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 8–12 years of experience, or Master’s with 6–10 years of experience
• 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

Note This description reflects a subset of responsibilities and qualifications and may be subject to change.