Joblaze summary

The Recruiting Analytics Data Engineer at Anthropic focuses on developing and maintaining the data infrastructure that supports recruiting analytics, including optimizing data models and building ETL pipelines. Proficiency in BigQuery, SQL, and Python is essential, along with experience in data governance and security. This role is suited for candidates with a strong background in data engineering, particularly those familiar with HR data systems and analytics. Anthropic's collaborative environment emphasizes the integration of AI in workforce planning and decision-making.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 15, 2026. Last confirmed on Anthropic's careers page October 30, 2026.
Salary band is above the typical range for Data Engineering roles (median ~$180,656).
Starts above 93% of 29 comparable mid data engineering roles in United States that list Python we track (median $125,000 across 16 companies). See Python salary trends
Python appears in 71.2% of 73 comparable mid data engineering roles in United States; Greenhouse appears in 1.4% of 73 comparable mid data engineering roles in United States.

Quick facts

Is the Recruiting Analytics Data Engineer role remote?: It's hybrid — Anthropic expects some on-site time in San Francisco, CA | New York City, NY | Seattle, WA.
What's the salary range?: Anthropic lists $285,000–$380,000 for this role.
How much experience is required?: At least 5 years of relevant experience for this Recruiting Analytics Data Engineer role.
Where is the role based?: Anthropic is hiring for this position in San Francisco, CA | New York City, NY | Seattle, WA.
What's the tech stack?: Joblaze extracted these technologies from the posting: BigQuery, Fivetran, Greenhouse, Python, SQL, Workday.
Does Anthropic sponsor work visas for this role?: Yes — the posting indicates visa sponsorship is available for the right candidate.
What seniority level is this role?: Anthropic targets mid-level candidates for this position.
Is this full-time or contract?: Full-time for this Recruiting Analytics Data Engineer role at Anthropic.

From the original posting

About Anthropic

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
Previous experience in high-growth technology companies or AI/ML organizations
Familiarity with workforce planning and predictive analytics use cases

The annual compensation range for this role is listed below.

Annual Salary:

$285,000—$380,000 USD

Logistics

Standard company text repeated across Anthropic's postings is omitted here.

Recruiting Analytics Data Engineer