Recruiting Analytics Data Engineer

EngineersOfAI; San Francisco, Northern (CA, KY); Hybrid; USD 150,000 - 190,000; Full time

Job summary

Anthropic is seeking a Recruiting Analytics Data Engineer to build the data foundation powering recruiting analytics. You will refactor BigQuery tables, design scalable data models, and implement governance to support evidence-based hiring decisions.

The role sits at the intersection of data engineering and analytics, enabling insights into recruiting funnels, interviews, and workforce planning. You will partner with data scientists, software engineers, and HR teams to create reliable data

Qualifications

• Expertise in BigQuery optimization and partitioning.
• Experience designing dimensional models and slowly changing dimensions.
• Proficient in SQL, Python, dbt, and data integration tools (Fivetran).
• Implemented data security and privacy controls in cloud warehouses.
• Able to translate HR concepts into scalable data models.
• Strong communication with technical and business stakeholders.

Responsibilities

• Refactor and optimize BigQuery tables to support AI-driven insights.
• Design scalable data architectures and dimensional models for HR data.
• Implement data governance, lineage, quality monitoring, and alerts.
• Ensure data access controls including row/column security for sensitive data.
• Build ETL/ELT pipelines with dbt and BigQuery across HRIS/ATS.
• Develop semantic layers and documentation for non-technical users.
• Collaborate with data scientists, engineers, and recruiting teams.

Skills

SQL

Python

dbt

Fivetran

Data modeling

Data governance

Stakeholder comms

Tools

BigQuery

Workday

Greenhouse

Lever

Job description

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.

About the role

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

• 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

Minimum qualifications

• Are an expert in BigQuery 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

Preferred qualifications

• 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