Anthropic is seeking a People Analytics Data Engineer to build and maintain the data infrastructure for their people analytics capabilities, enabling evidence-based decision-making and AI-driven insights about workforce engagement, performance, and planning.
Requirements
- Are an expert in BigQuery including optimization and partitioning
- Have built dimensional models and understand slowly changing dimensions
- Are proficient in SQL, Python, and modern tools like DBT and Fivetran
- Have implemented data security and privacy controls in cloud warehouses
- Can translate HR concepts into scalable data models
- Understand organizational network analysis and graph data concepts
- Experience with HRIS data models and integrations (i.e. Rippling, Workday, Lattice, Qualtrics)
Responsibilities
- Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports traditional BI tools (like Looker) and enables AI-driven insights across the company
- Design scalable data architectures and build dimensional models that transform raw HR data into trusted, reusable datasets for self-serve analytics while maintaining performance
- Implement data governance including documentation, lineage tracking, quality monitoring, and proactive alerting systems
- Ensure appropriate data access controls including row and column-level security for sensitive employee data
- Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Rippling/Workday), ATS (Greenhouse), survey platforms (Qualtrics), and collaboration tools
- Create reliable data flows that handle both real-time needs and batch processing requirements
- Design fault-tolerant data pipelines with proper error handling and monitoring to ensure data freshness
Other
- Have 5+ years in data engineering
- Communicate effectively with both technical and business stakeholders
- We require at least a Bachelor's degree in a related field or equivalent experience.
- Currently, we expect all staff to be in one of our offices at least 25% of the time.
- We do sponsor visas!
