Recruiting Analytics Data Engineer - Data Platform Lead

Anthropic Limited; New York (NY); Hybrid; USD 285,000 - 380,000; Full time

Benefits offered by this job

Equity donation matching (optional)

Generous vacation and parental leave

Flexible working hours

Office space in SF

Job summary

Anthropic Limited is seeking a Recruiting Analytics Data Engineer to join the People Data Solutions team. You will design scalable data architectures and robust data models powering recruiting analytics across the company.

You will work at the intersection of data engineering and recruiting analytics, building foundations for insights on recruiting funnels, interviews, and workforce planning while collaborating with data scientists, engineers, and recruiters.

Qualifications

• Expert in BigQuery optimization and partitioning.
• Built dimensional models and understands slowly changing dimensions.
• Proficient in SQL, Python, dbt and Fivetran.
• Implemented data security and privacy controls in cloud warehouses.
• Translate HR concepts into scalable data models.
• Able to communicate with technical and business stakeholders.

Responsibilities

• Refactor and optimize BigQuery tables to support AI-driven insights.
• Design scalable data architectures and dimensional models for self-serve analytics.
• Implement data governance including documentation, lineage, quality monitoring, and alerting.
• Ensure access controls including row/column security for sensitive data.
• Build ETL/ELT pipelines using dbt and BigQuery to integrate HRIS and ATS data.
• Create reliable data flows for real-time and batch processing.

Skills

BigQuery expert

Dimensional modeling

SQL

Python

dbt

Fivetran

Data security & privacy

HR data domain understanding

Stakeholder communication

Education

5+ years in data engineering

Bachelor’s degree or equivalent

Tools

Google BigQuery

Workday

Greenhouse

Job description

Anthropic Limited is seeking a Recruiting Analytics Data Engineer to join the People Data Solutions team. You will design scalable data architectures and robust data models powering recruiting analytics across the company.

You will work at the intersection of data engineering and recruiting analytics, building foundations for insights on recruiting funnels, interviews, and workforce planning while collaborating with data scientists, engineers, and recruiters.