Notion15.04.2026
Data Engineer, People Analytics
Полная занятостьУдалёнка
Обязанности
- 01Partner closely with the Chief People Officer and People leadership team to translate strategic questions into clear metrics and data products that inform workforce planning, organization design, performance reviews, compensation discussions, and executive reporting
- 02Define and build ETL/ELT pipelines and infrastructure to ingest and standardize data from HRIS and adjacent systems such as Workday, ATS, payroll, benefits, performance platforms, creating a reliable source of truth for headcount, org structure, hiring, attrition, and talent health
- 03Design privacy-first data architecture, including access controls, PII handling, and governance standards
- 04Implement data quality, testing, and observability systems to ensure sensitive employee data is accurate and trustworthy
- 05Design privacy-aware data models, transformations, semantic layers, and quality checks so sensitive employee data is accurate, timely, well-documented, and governed appropriately with role-based access controls for decision-making and makes AI-powered people tools and automations reliable enough to ship to production
- 06Partner with People Analytics to translate ambiguous requirements into scalable datasets, dashboards, and self-serve data products that give People leaders, People Partners, and managers visibility into workforce trends while reducing manual overhead
Требования
- 016+ years of experience in analytics engineering, data engineering, people analytics, or a closely related role, with a track record of building trusted datasets and systems for business decision-making
- 02Hands-on experience working with HRIS and adjacent People systems data (for example Workday, ATS (Ashby), payroll, benefits, performance, or engagement platforms) and know how to reconcile definitions across messy, evolving source systems
- 03Proficiency in SQL and data modeling, and can build production-grade transformations, define durable metric logic, and write performant queries against large analytical datasets
- 04Proficiency in Python (or similar OOP languages) for building data pipelines, automation, and infrastructure
- 05Experience designing systems with data quality, testing, monitoring, and SLAs in mind
- 06Experience with modern data tooling and cloud warehouses such as Snowflake, dbt, Airflow, Fivetran, or similar technologies, along with strong instincts around testing, monitoring, and data quality
- 07Excellent judgment with sensitive and confidential data, and can implement infrastructure and tooling for data privacy, access controls, governance, and thoughtful interpretation of people metrics
- 08Effectiveness in partnering directly with the CPO, People Partners, Finance, and business leaders to turn ambiguous questions into scoped solutions and clearly communicated insights
- 09Ability to leverage AI and agent-based tools to accelerate development, while defining guardrails for safe, production-grade data workflows
Условия
- 01Work from our offices on Mondays, Tuesdays, and Thursdays, our designated Anchor Days
- 02Highly competitive cash compensation, equity, and benefits
- 03Estimated base salary range for this role is $213,000 to $250,000 for roles based in San Francisco