SQL Engineer

Leidos is hiring a SQL Engineer onsite in Aurora, CO with a salary range of USD 107,900 to 195,050 per year to develop advanced SQL queries, shape data for dashboards, optimize performance at scale, and deliver high-quality datasets for analytics.

Responsibilities

• Develop advanced, high-performance SQL queries across large, complex datasets, including multi-table joins, window functions, and aggregations
• Optimize query performance through execution plan analysis, 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 to support efficient and intuitive dashboard visualization
• Collaborate with ETL engineers and dashboard developers to ensure reliable end-to-end data delivery

Requirements

• Bachelor’s degree with 8 to 12 years of experience, or Master’s with 6 to 10 years of experience
• U.S. Citizenship
• Active TS/SCI clearance with the ability to successfully pass a Polygraph
• Expert-level SQL skills, including complex joins across large datasets
• Expert-level SQL skills, including query optimization and execution plan analysis
• Expert-level SQL skills, including aggregations, subqueries, and window functions
• Strong experience with relational databases (PostgreSQL, MySQL, Oracle, or similar)
• Experience working with large-scale data supporting analytics and reporting
• Proficiency in Linux environments
• Ability to work independently and solve complex data challenges

Technologies

• SQL
• Java
• Grafana
• Python
• pandas
• PostgreSQL
• MySQL
• Oracle
• Linux

Benefits

• Competitive compensation
• Health and Wellness programs
• Income Protection
• Paid Leave
• Retirement

Why this role stands out

• High Impact: Your work directly supports a widely used application that informs real-time decisions
• High Visibility: Collaborate with engineering teams and key stakeholders across programs
• Career Growth: Deepen expertise in large-scale data systems, performance optimization, and advanced SQL engineering
• Challenging Work: Address complex data problems beyond routine queries