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Crusoe

Workforce Intelligence Engineer

Denver, CO - USfulltimemidAdded 2 days ago

About this role

Crusoe seeks a Workforce Intelligence Engineer to build and maintain the technical systems powering HR analytics and workforce data at a rapidly scaling AI infrastructure company. You'll own data pipelines in BigQuery/dbt, develop AI agents to automate HR workflows, and partner with IT to operationalize solutions—balancing greenfield development with production system reliability while learning HR domain expertise alongside a senior mentor.

What you'll do

  • Build and maintain data engineering pipelines using dbt and BigQuery, integrating HR systems like Rippling, Ashby, and Visier
  • Design and deploy AI agents to automate workforce workflows and surface actionable intelligence from people data
  • Triage technical work and determine whether to build in-house, scope through IT, or solve with vendors
  • Partner with central IT to productionize, host, and scale workforce intelligence solutions
  • Use AI-assisted development tools to compress build cycles and move from problem to working solution quickly
  • Develop HR domain expertise in areas like job architecture, organizational design, and workforce planning

What they're looking for

  • Data engineering (dbt, BigQuery, ETL/ELT pipelines)
  • Python or similar programming language
  • AI/LLM agent development and AI-assisted development tools (Cursor, Claude, etc.)
  • HR systems and data (Rippling, Ashby, Visier, or similar platforms)
  • SQL and data modeling
  • API integration and data warehouse architecture
  • Problem-solving and independent judgment in triaging technical scope
  • Communication across technical and non-technical HR stakeholders
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Crusoe

Crusoe builds AI infrastructure and data center systems, including cloud platforms, modular facilities, and manufacturing operations. The company is hiring engineers across software, mechanical engineering, facilities management, instrumentation, and CNC programming to design, optimize, and operate its mission-critical infrastructure.

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Likely interview questions

  • Walk us through your experience with data pipelines and warehouse design—what's the most complex ETL project you've owned?
  • Tell us about a time you used AI or code generation tools to accelerate development. How did you maintain quality and avoid technical debt?
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