Recruiting Analytics Data Engineer

Anthropic · New York City, NY; San Francisco, CA | New York City, NY | Seattle, WA; Seattle, WA · People · listed September 15, 2026

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The shape of it

Seniority
Not stated
Where
Hybrid
Stated pay
$285,000 – $380,000 USD
Requirements listed
6
Length
1,373 words

In the posting’s own words

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.

What it asks for · 6

  • 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

Also a plus

  • 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

Tools and skills named

Data
  • Data pipelines4×
  • dbt4×
  • ETL4×
Operations & finance
  • Recruiting9×
Languages
  • Python2×
  • SQL2×
Security & compliance
  • Security4×
Ways of working
  • Technical writing4×
Models & research
  • Machine learning2×
Go to market
  • Pipeline generation

Words the posting leans on

  • data55×
  • analytics11×
  • build9×
  • models9×
  • pipelines9×
  • recruiting9×
  • scalable data9×
  • bigquery6×
  • experience6×
  • building5×
  • data models5×
  • ats4×
  • controls4×
  • create4×
  • data pipelines4×
  • dbt4×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched September 15, 2026 and last changed by Anthropic on September 15, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.