SQL Engineer

SQL Engineer Gaithersburg, MD 20877 $105,000

• $185,000 a year
• Full-time $105,000
• $185,000 a year
• Full-time Job Overview 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 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. 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

Pay:

$105,000.00

• $185,000.

00 per year

Benefits:

401(k) 401(k) matching Dental insurance Health insurance Life insurance Paid time off Parental leave Referral program Retirement plan Vision insurance

Experience:

SQL:

8 years (Preferred) Security clearance: Top Secret (Required)

Work Location:

In person