Recruiting Analytics Data Engineer

About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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.

Refactor and optimize our existing Big Query 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

Build and maintain ETL/ELT pipelines using dbt and Google Big Query 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

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

Build data products that standardize key metrics like offer accept rate, time to fill, and headcount movement

Partner with data scientists, software engineers, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company

Are an expert in Big Query 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

Communicate effectively with both technical and business stakeholders

Have 5+ years in data engineering

Familiarity with ATS platforms (Greenhouse, Lever) and their data structures

Experience with 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

The annual compensation range for this role is listed below.

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

$285,000 - $380,000 USD

Minimum education: Bachelor’s degree…