SQL Engineer Security Clearance

Position: SQL Engineer with Security Clearance
Mid SQL Engineer- 4-8 years experience -$135-150k Snr SQL Engineer
-8-12 years experience
-170-190k
Must have an active TS/SCI clearance and willing to obtain a poly. 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. 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

• 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