# Workforce Intelligence Engineer

**Company:** [Crusoe](https://hotfix.jobs/companies/crusoe)
**Location:** San Francisco, CA, Seattle, WA, Denver, CO
**Role:** Data Engineering
**Skills:** SQL, dbt, BigQuery, Python, LLMs, RAG, HRIS, ATS, Rippling, Ashby, visier, API Integrations, Data Modeling, AI Agents
**Posted:** 2026-07-22

> Build and own Crusoe's workforce intelligence technical stack, including data pipelines in BigQuery/dbt, AI agents for HR automation, and custom tooling. Requires HR domain knowledge, data engineering skills, software engineering experience, and enthusiasm for LLM-powered agent development.

## Job Description

## What You'll Be Working On

**People Data Engineering**
- Contribute to and take growing ownership of our data engineering stack: dbt models in BigQuery, staging layers from sources like Rippling, Ashby, and Visier, and event-grain models that capture workforce changes with the fidelity HR analytics requires.
- Work with the senior consultant to understand the existing architecture and take on increasing accountability for its quality, maintenance, and scalability over time.

**AI Agent Development**
- Design and deploy agentic systems that automate high-friction HR workflows and surface actionable workforce intelligence — from intelligent classification and matching to multi-step agents that interact with HR platforms.
- Use AI-assisted development tools (Cursor, Claude Code, or equivalent) to move fast, prototype in the open, and scale your output beyond what traditional solo engineering allows.

**Partnership with IT**
- Serve as the technical liaison between People Science and Crusoe's central IT organization for work that extends beyond our data stack.
- Triage the technical backlog, determine what gets built in-house versus scoped through IT versus solved with a vendor, and drive delivery once the call is made.
- Partner with IT to productionize solutions — hosting, infrastructure, security, and long-term maintenance.

**Custom Internal Tooling**
- Scope and build purpose-built solutions where commercial HR products fall short — from rapid prototypes that validate a direction quickly to production-quality tools that replace vendor contracts.

**Workforce Intelligence and Executive Storytelling**
- Build the pipelines and data products that surface workforce intelligence to leadership — headcount, attrition, performance distributions, compensation equity signals, org health metrics.
- Translate complex, multi-source analyses into clear narratives that drive decisions at the executive level.

## What You'll Bring to the Team

- **Foundational HR domain expertise**: Experience with HR systems (HRIS, ATS, compensation or performance platforms). Understand how HR processes translate into data, org structure modeling, effective dates, and why HR data requires different handling.
- **Data engineering fundamentals**: Hands-on experience with production SQL, dbt or similar transformation framework, data modeling (grain, lineage, schema design).
- **Working software engineering ability**: Experience writing production code — pipelines, API integrations, scheduled jobs, or lightweight applications. Solid coding foundation and comfort learning new patterns and languages.
- **Exposure to AI/agent development**: Experimented with or built LLM-powered tools. Understanding of RAG, tool-calling, or multi-step agent frameworks is a strong plus.
- **AI-assisted development as a working style**: Use tools like Cursor, Claude Code to build functional prototypes rapidly and iterate quickly.
- **Data storytelling and communication**: Ability to translate technical analysis for non-technical stakeholders and leadership.
- **Curiosity, coachability, self-directed execution**: Take ownership, seek feedback, navigate ambiguity.

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**Canonical:** https://hotfix.jobs/jobs/6ae5ee8f-133c-4398-93c4-1c6ac69bc9b2