Data Engineer (Recruiting Analytics)

Join Anthropic, a leading AI safety and research company, as a Recruiting Analytics Data Engineer. In this role, you will build and maintain the data infrastructure that powers our recruiting analytics capabilities. You will design scalable data architectures, implement robust data models, and work with a team that is actively experimenting with AI to transform how we understand and support our workforce.

• Refactor and optimize existing BigQuery tables to create a scalable data foundation that supports AI-driven data insights.
• Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from HRIS, ATS, and internal tools.
• Develop semantic layers and comprehensive documentation that make complex recruiting data accessible to non-technical users.

• Are an expert in BigQuery including optimization and partitioning
• Are proficient in SQL, Python, and modern tools like dbt and Fivetran
• Communicate effectively with both technical and business stakeholders
• Have built dimensional models and understand slowly changing dimensions
• Have implemented data security and privacy controls in cloud warehouses
• Can translate HR concepts into scalable data models
• Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed
• Familiarity with workforce planning and predictive analytics use cases
• Previous experience in high-growth technology companies or AI/ML organizations
• Experience with building semantic layers for data agents
• Familiarity with ATS platforms (Greenhouse, Lever) and their data structures
• Have 5+ years in data engineering
• Knowledge of graph databases or network analysis libraries
• Background in privacy-enhancing technologies or sensitive data handling
• Experience building data pipelines for survey data and text analytics