Recruiting Analytics Data Engineer

Details

Anthropic is seeking a Recruiting Analytics Data Engineer to join the People Data Solutions team. The role focuses on building and maintaining data infrastructure for recruiting analytics, including scalable data architectures, robust data models, and data products that support evidence-based decision-making. The position combines data engineering and recruiting analytics and involves working with teams experimenting with AI to improve workforce insights.

Responsibilities

Data Infrastructure and Modeling

• Refactor and optimize BigQuery tables to create a scalable data foundation for AI-driven data insights.
• Design scalable data architectures and dimensional models that transform raw HR data into trusted, reusable datasets for self-service analytics.
• Implement data governance, including documentation, lineage tracking, quality monitoring, and proactive alerting.
• Implement row-level and column-level access controls for sensitive candidate data.

Pipeline Development and Integration

• Build and maintain ETL/ELT pipelines using dbt and Google BigQuery.
• Integrate data from Workday, Greenhouse, and internal tools.
• Create reliable data flows supporting real-time and batch-processing requirements.
• Design fault-tolerant pipelines with error handling and monitoring to ensure data freshness.
• Automate data quality checks and validation across pipelines.

Analytics Engineering and Modeling

• Develop semantic layers and documentation that make recruiting data accessible to non-technical users.
• Build data products that standardize metrics such as offer acceptance rate, time to fill, and headcount movement.
• Partner with data scientists, software engineers, recruiting teams, and other stakeholders to build scalable data models.

Requirements

• Expert knowledge of BigQuery, including optimization and partitioning.
• Experience building dimensional models and understanding slowly changing dimensions.
• Proficiency in SQL, Python, dbt, and Fivetran.
• Experience implementing data security and privacy controls in cloud data warehouses.
• Ability to translate HR concepts into scalable data models.
• Strong communication skills with technical and business stakeholders.
• A bachelor's degree or equivalent combination of education, training, and experience.
• A relevant field of study demonstrated through coursework, training, or professional experience.

Preferred Qualifications

• 5+ years of experience in data engineering.
• Familiarity with ATS platforms such as Greenhouse and 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.
• Experience at high-growth technology companies or AI/ML organizations.
• Familiarity with workforce planning and predictive analytics use cases.

Compensation

• Annual salary: $285,000–$380,000 USD.

Work Policy and Sponsorship

• Staff are expected to work from one of the company's offices at least 25% of the time; some roles may require more office time.
• Anthropic sponsors visas and makes reasonable efforts to obtain visas for offered candidates, although sponsorship is not guaranteed for every role or candidate.

Benefits

Anthropic offers competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and an office environment for collaboration.