Recruiting Analytics Data Engineer

Anthropic
New York, San Francisco, Seattle
Workplace: OnsiteFull timeUSD 285,000 - 380,000 annuallyFunction: People, HR & TalentEducation: bachelorsSkills: ["Communication","Data governance","Stakeholder management","Data modeling","Privacy controls"]

Build and maintain the data infrastructure behind recruiting analytics. You’ll refactor BigQuery tables, design scalable dimensional data models, and implement governed ETL/ELT pipelines using dbt and BigQuery to integrate Workday, Greenhouse, and internal tools. Partner with data scientists, engineers, and recruiting stakeholders to deliver trusted datasets and standardized metrics like offer accept rate, time to fill, and headcount movement, with strong privacy and access controls.

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FursaFursa
Anthropic
Anthropic
13 hours ago

Recruiting Analytics Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Build and maintain the data infrastructure behind recruiting analytics. You’ll refactor BigQuery tables, design scalable dimensional data models, and implement governed ETL/ELT pipelines using dbt and BigQuery to integrate Workday, Greenhouse, and internal tools. Partner with data scientists, engineers, and recruiting stakeholders to deliver trusted datasets and standardized metrics like offer accept rate, time to fill, and headcount movement, with strong privacy and access controls.
Location: New York, San Francisco, Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: People, HR & Talent
Seniority: Mid level

Key Responsibilities

  • •Refactor and optimize existing BigQuery tables to create a scalable foundation for recruiting analytics.
  • •Design scalable data architectures and build dimensional models for trusted, reusable self-serve analytics datasets.
  • •Implement data governance (documentation, lineage, quality monitoring, and proactive alerting) and enforce data access controls for sensitive candidate data.
  • •Build and maintain ETL/ELT pipelines with dbt and Google BigQuery integrating Workday, Greenhouse, and internal tools, supporting both real-time and batch needs.
  • •Develop semantic layers and documentation for non-technical users, and build standardized recruiting metrics (e.g., offer accept rate, time to fill, headcount movement).

Pay and Benefits

Salary: USD 285,000 - 380,000 annually
Perks:EquityPaid LeaveParental LeaveFlexible Hours

Key Requirements

  • •Expert in BigQuery, including optimization and partitioning.
  • •Built dimensional models and understands slowly changing dimensions.
  • •Proficient in SQL and Python, with experience using dbt and Fivetran.
  • •Implemented data security and privacy controls in cloud warehouses.
  • •Can translate HR concepts into scalable data models and communicate effectively with technical and business stakeholders.
Experience:Data engineeringAI/ML
Education:Bachelor's
Skills:CommunicationData governanceStakeholder managementData modelingPrivacy controls
Languages:English
Tech Stack:BigQuerySQLPythonDbtFivetranETLELTWorkdayGreenhouseGoogle BigQueryDimensional modelingRow-level securityColumn-level security

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn