Recruiting Analytics Data Engineer
About this role
The People Data Solutions team at Anthropic builds and maintains the core data infrastructure powering recruiting analytics capabilities. Responsibilities include designing scalable data architectures, refactoring BigQuery tables, and implementing data governance for sensitive HR information.
This role serves as the technical foundation for the recruiting analytics group by translating HR concepts into trusted datasets and collaborating with data scientists, software engineers, and recruiting teams. Ideal candidates combine expertise in BigQuery and SQL with strong communication skills and experience building dimensional models.
What you will do
- Refactor and optimize existing BigQuery tables to create a scalable data foundation that supports AI-driven data insights.
- Design scalable data architectures and build dimensional models that transform raw HR data into reusable datasets for self-serve analytics.
- Implement data governance practices such as 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 BigQuery to integrate data from Workday, Greenhouse, and internal tools.
- Develop semantic layers and comprehensive documentation to make complex recruiting data accessible to non-technical users.
- Partner with stakeholders across the company to build scalable data models that standardize key metrics like offer accept rates and time to fill.
What you need
- Expertise in Google BigQuery, including table optimization and partitioning strategies.
- Demonstrated experience building dimensional models and understanding slowly changing dimensions.
- Proficiency in SQL, Python, and modern data tools such as dbt and Fivetran.
- Experience implementing data security and privacy controls within cloud data warehouses.
- Ability to translate complex HR concepts into scalable and reliable data models.
- Effective communication skills for collaborating with both technical and business stakeholders.
Nice to have
- 5+ years of experience in data engineering
- Familiarity with ATS platforms such as Greenhouse and Lever along with their data structures
- Experience building semantic layers for data agents
- Background in privacy-enhancing technologies or sensitive data handling
- Previous experience in high-growth technology companies or AI/ML organizations
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation
- Generous parental leave
- Flexible working hours
- Lovely office space in which to collaborate with colleagues
Skills and tech stack
Questions candidates ask
What is the remote work or office policy for this role?
This is a location-based hybrid policy where staff are expected to be in one of the offices (San Francisco, New York City, or Seattle) at least 25% of the time, though some roles may require more office time.
What is the annual compensation range for this position?
The annual base salary range for this role is $285,000 to $380,000 USD.
What tools and technologies will I be working with?
The tech stack includes Google BigQuery, Python, dbt, Fivetran, SQL, and data sources from platforms like Workday and Greenhouse.
Does Anthropic offer visa sponsorship for applicants?
Yes, visa sponsorship is available, and the company retains an immigration lawyer to help make every reasonable effort to secure a visa if an offer is made.