SQL Engineer
Leidos, Chantilly, VA, United States
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 (PostgreSQL, 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.
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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 (PostgreSQL, 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.
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