Recruiting Analytics Data Engineer

We are seeking a Recruiting Analytics Data Engineer to join our People Data Solutions team, focusing on building and maintaining the data infrastructure that powers our recruiting analytics capabilities. You'll be the technical foundation for our recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making across Anthropic.

This role sits at the intersection of data engineering and recruiting analytics - you'll build the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team that's actively experimenting with AI to transform how we understand and support our workforce.

Key responsibilities

Data Infrastructure & Modeling

• Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports and enables AI-driven data 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 candidate data

Pipeline Development & Integration

• Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Workday), ATS (Greenhouse), and internal 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

• Automate data quality checks and validation across all pipelines

Analytics Engineering & Modeling

• Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users

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