Mid-Level SQL Engineer

Noetic StrategiesAlexandria, VA
Onsite

About The Position

We're hiring a SQL Engineer to support a high-visibility, data-driven application that powers analytics and reporting across the organization. In this role, you'll write complex queries, shape data for dashboards, ensure data accuracy, and deliver reliable datasets that stakeholders depend on every day. You'll work closely with dashboard developers and application teams to provide clean, consistent, and easy-to-consume data for mission users. Our primary development team operates out of Gaithersburg, MD, but innovation doesn't stop there. We're able to support onsite engineers in Alexandria, VA; Chantilly, VA; St. Louis, MO; and Tucson, AZ, giving top talent multiple paths to join the mission.

Requirements

  • Bachelor's degree in computer science, Software Engineering, or related field with 4–8 years of experience; or Master's with 2–6 years
  • US Citizenship
  • Active TS/SCI with ability to successfully pass a Polygraph
  • Strong SQL skills, including the ability to write advanced queries (joins, aggregations, subqueries, window functions)
  • Experience working with enterprise relational databases (PostgreSQL, MySQL, Oracle, etc.)
  • Background supporting analytics, dashboards, or reporting pipelines
  • Comfortable working in Linux based environments
  • Proven ability to work independently on data centric tasks and ensure data quality

Nice To Haves

  • Experience with Grafana, Tableau, or similar visualization tools
  • Exposure to CI/CD pipelines
  • Experience working in Agile environments

Responsibilities

  • Write complex SQL queries involving joins, aggregations, filtering, subqueries, and window functions to support dashboards
  • Structure query outputs in a way that is optimized for dashboard consumption (clear naming, grouping, formatting)
  • Partner with dashboard developers to define and deliver the data required for visualizations and reporting
  • Ensure accuracy, consistency, and completeness of datasets used in dashboards
  • Identify inefficient queries and make basic improvements to support responsive dashboards
  • Translate dashboard and reporting requirements into effective SQL queries
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