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Redhorse

Full Stack Developer

Reston, VA$140k–$180kfull-timemidAdded today

About this role

Redhorse Corporation seeks a Full Stack Developer with active TS/SCI clearance to build and maintain data aggregation and analysis tools for the Defense Intelligence Enterprise. You'll work across the full development stack—backend, frontend, ETL, and databases—to deliver ISR data solutions that serve military and intelligence stakeholders.

What you'll do

  • Develop and maintain full-stack applications for ISR data aggregation, linking, and analysis
  • Design and implement automated extract/transform/load (ETL) operations for diverse data sources
  • Build front-end interfaces and back-end services to visualize and query intelligence data
  • Interface with clients, military personnel, and stakeholders to gather requirements and ensure adoption
  • Manage database operations to support high-volume structured and unstructured data
  • Deliver rapid feature enhancements to support evolving mission needs

What they're looking for

  • Full-stack web development (front-end and back-end)
  • ETL/data pipeline development and automation
  • Database design and management
  • Data visualization and API development
  • Working with structured and unstructured data sources
  • Mission-focused software delivery and rapid prototyping
  • Cross-functional communication with technical and non-technical stakeholders
  • Security-conscious development practices
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Redhorse

Redhorse builds data analytics platforms and modernized software systems for U.S. government agencies, including graph-based intelligence platforms and legacy system transformations. The company is hiring full-stack engineers, data engineers, UI developers, and systems engineers to develop mission-critical applications that improve government data management, security, and operational efficiency.

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Likely interview questions

  • Describe your experience building end-to-end solutions that integrate data from multiple sources and formats.
  • How have you designed ETL pipelines to handle both structured and unstructured data at scale?
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