Data Engineer, People Analytics

Crusoe•San Francisco, CA

2d•$135,000 - $16,400

About The Position

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.

Requirements

The "Hybrid" Skill Set: You are an Engineer who thinks like a Consultant. You love writing clean Python/SQL code, but you are equally passionate about solving human-centric business problems.
Core Tech Stack Mastery: Warehouse: Deep experience managing data in Google Cloud Platform Visualization: Expert proficiency in Sigma or similar BI platforms . You know how to use input tables, workbook parameters, and materialized views to build interactive tools.
HR/Recruiting Systems: Hands-on experience with Ashby , Rippling , or similar. You understand their API nuances and schemas.
Semantic Architecture: Experience building semantic layers that create context based in business logic from raw data, ensuring consistency across all reporting.
AI/ML Curiosity: Experience or strong interest in applying AI/ML techniques (NLP, regression analysis, etc.) to people data. You want to use the tools Crusoe is empowering the world to build.
Communication: You can explain complex data architectures to non-technical stakeholders and act as a trusted advisor on data strategy

Nice To Haves

Experience deploying or working with People Analytics SaaS platforms
Experience with Sigma.

Responsibilities

Full-Stack Data Engineering: Build and maintain resilient ETL pipelines to centralize data from our core HCM and ATS systems into Google Cloud Platform, Big Query, and other people analytics products.
Semantic Modeling & Self-Service: Architect a robust semantic data layer (using dbt) that translates raw database schemas into business-friendly logic. You will enable non-technical leaders to ask natural language questions and get accurate answers.
Applied AI & Predictive Analytics: Leverage AI and LLMs to unlock insights from unstructured data (e.g., engagement survey comments, interview feedback) and build predictive models for attrition and headcount planning.
Innovative Workplace Solutions: Go beyond dashboards to design data products that solve operational problems. This could mean automating manual HR workflows, building custom apps for internal mobility, or using data to redesign our organizational structure.
Consultative Partnership: Partner proactively with Talent, Finance, and People leaders. You will translate vague business anxieties into rigorous data questions, consulting on the "art of the possible" with modern analytics.
Visualization & Storytelling: Design and deploy high-impact Sigma workbooks that guide executives through complex narratives, ensuring data is not just viewed, but acted upon.

Benefits

Industry competitive pay
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