Data Engineer, People Analytics
Core
Design, build, and operate scalable data systems and pipelines to power People Analytics for hiring, performance, compensation, and org design while ensuring privacy.
Role type
Senior Data Engineer (People Analytics)
Builds
ETL/ELT pipelines, semantic layers, and production-grade datasets for workforce planning and AI-driven people tools.
Domain
HR Technology / People Analytics / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, data modeling, ETL/ELT pipeline design, data quality testing, cloud data warehouse management, privacy-first architecture, stakeholder partnership
Preferred skills
Experience with HRIS systems (Workday, ATS), AI/agent-based tooling, fast-paced startup environment
Technologies
Snowflake, dbt, Airflow, Fivetran, Workday, Ashby
Responsibilities
Partner with CPO and People leadership to translate strategic questions into metrics and data products; Define and build pipelines to ingest and standardize data from HRIS and adjacent systems; Design privacy-first data architecture with access controls and governance; Implement data quality, testing, and observability systems; Design privacy-aware data models and semantic layers; Partner with People Analytics to create scalable datasets and self-serve data products.
Seniority
Senior, hands-on IC
