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Redhorse

Graph Data Engineer

Remote (Remote)full-timemidAdded yesterday

About this role

Redhorse Corporation seeks a Graph Data Engineer to build and maintain data pipelines for an intelligence analytics platform (GraphAware Hume) used by government agencies. You'll work with graph data scientists and engineers to create systems that support real-world analyst workflows and enable mission-critical decision-making.

What you'll do

  • Design and maintain data pipelines feeding the GraphAware Hume analytics platform
  • Collaborate with graph data scientists to optimize queries and platform performance
  • Ensure the system supports complex analytical workflows under operational constraints
  • Build infrastructure that translates analyst tradecraft into technical requirements
  • Support cross-functional teams integrating data and intelligence workflows
  • Develop solutions that prioritize user experience and reliability for mission-critical operations

What they're looking for

  • Graph database design and optimization
  • Data pipeline architecture and ETL processes
  • Query optimization for complex analytical workloads
  • Systems integration and data infrastructure
  • Understanding of intelligence analysis workflows
  • Software engineering best practices
  • Performance optimization and scalability
  • Cross-functional collaboration and communication

Benefits

  • Work on mission-critical national security projects
  • Remote work flexibility
  • Collaborate with specialized data science and engineering teams
  • Access to state-of-the-art analytics platform
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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 designing data pipelines for complex analytical systems. What challenges did you face?
  • How would you approach optimizing query performance on a graph database at scale?
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