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Senior Data Engineer, People Analytics

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Crusoe

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Location:
United States , Denver ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

165000.00 - 200000.00 USD / Year
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Job Description:

A Data Engineer is a builder, an innovator, and a trusted strategic partner. You will sit at the intersection of data engineering, business consulting, and applied AI. In this role, you will do more than just manage pipelines; you will architect and build the infrastructure powering the People Analytics team’s insights and product suite. You will champion the use of practical AI and machine learning to modernize how we understand our workforce—from analyzing unstructured sentiment to predicting talent trends. You will own the full stack—extracting data from HCM and ATS Systems like Rippling and Ashby, modeling it in Google Cloud Platform, and bringing it to life in self-service products—while partnering with leaders to design innovative workplace solutions that scale our culture.

Job Responsibility:

  • Build and maintain resilient ETL pipelines to centralize data from core HCM and ATS systems into Google Cloud Platform, Big Query, and other people analytics products
  • Architect a robust semantic data layer (using dbt) that translates raw database schemas into business-friendly logic
  • Enable non-technical leaders to ask natural language questions and get accurate answers
  • Leverage AI and LLMs to unlock insights from unstructured data and build predictive models for attrition and headcount planning
  • Design data products that solve operational problems
  • Partner proactively with Talent, Finance, and People leaders
  • Translate vague business anxieties into rigorous data questions
  • Design and deploy high-impact Sigma workbooks that guide executives through complex narratives

Requirements:

  • Deep experience managing data in Google Cloud Platform
  • Expert proficiency in Sigma or similar BI platforms
  • Hands-on experience with Ashby, Rippling, or similar HR/Recruiting Systems
  • Experience building semantic layers that create context based in business logic from raw data
  • Experience or strong interest in applying AI/ML techniques (NLP, regression analysis, etc.) to people data
  • Ability to explain complex data architectures to non-technical stakeholders

Nice to have:

  • Experience deploying or working with People Analytics SaaS platforms
  • Experience with Sigma
What we offer:
  • Restricted Stock Units in a fast growing, well-funded technology company
  • Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
  • Employer contributions to HSA accounts
  • Paid Parental Leave
  • Paid life insurance, short-term and long-term disability
  • Teladoc
  • 401(k) with a 100% match up to 4% of salary
  • Generous paid time off and holiday schedule
  • Cell phone reimbursement
  • Tuition reimbursement
  • Subscription to the Calm app
  • MetLife Legal
  • Company paid commuter benefit
  • $300/month

Additional Information:

Job Posted:
February 21, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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