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Salary: USD 285,000 - 380,000 / annual
Anthropic is seeking a Recruiting Analytics Data Engineer to join the People Data Solutions team. This role focuses on building and maintaining the data infrastructure that powers recruiting analytics capabilities across the organization.
You will be the technical foundation for the recruiting analytics team, designing scalable data architectures and implementing robust data models that enable evidence-based decision-making. This position sits at the intersection of data engineering and recruiting analytics, building the technical foundation for insights about recruiting funnels, interviews, and workforce planning while working with a team actively experimenting with AI to transform how the organization understands and supports its workforce.
Key responsibilities include:
Data Infrastructure & Modeling: Refactor and optimize existing BigQuery tables to create a scalable data foundation supporting AI-driven insights. 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 HRIS (Workday), ATS (Greenhouse), and internal tools. Create reliable data flows handling 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 making complex recruiting data accessible to non-technical users. Build data products standardizing key metrics like offer accept rate, time to fill, and headcount movement. Partner with data scientists, software engineers, recruiting teams, and other stakeholders to build scalable data models serving needs across the company.
Anthropnic is a public benefit corporation headquartered in San Francisco with offices in New York, San Francisco, and Seattle. The company offers competitive compensation, optional equity donation matching, generous vacation and parental leave, flexible working hours, and collaborative office space. Currently, all staff are expected to be in office at least 25% of the time, though some roles may require more.
Requirements:
Minimum qualifications: Expert-level knowledge of BigQuery including optimization and partitioning; experience building dimensional models and understanding slowly changing dimensions; proficiency in SQL, Python, and modern tools like dbt and Fivetran; implementation of data security and privacy controls in cloud warehouses; ability to translate HR concepts into scalable data models; effective communication with both technical and business stakeholders. Minimum education: Bachelor's degree or equivalent combination of education, training, and/or experience in a field relevant to the role.
Preferred qualifications: 5+ years in data engineering; familiarity with ATS platforms (Greenhouse, Lever) and their data structures; experience building semantic layers for data agents; experience building data pipelines for survey data and text analytics; knowledge of graph databases or network analysis libraries; background in privacy-enhancing technologies or sensitive data handling; previous experience in high-growth technology companies or AI/ML organizations; familiarity with workforce planning and predictive analytics use cases.
