People Analytics Data Engineer

Anthropic PBC • Seattle, WA • 1h ago

Responsibilities:

Data Infrastructure & Modeling

Refactor and optimize our existing BigQuery tables to create a scalable data foundation that supports traditional BI tools (like Looker) and enables AI-driven 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 employee data

Pipeline Development & Integration

Build and maintain ETL/ELT pipelines using dbt and Google BigQuery to integrate data from our HRIS (Rippling/Workday), ATS (Greenhouse), survey platforms (Qualtrics), and collaboration 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 HR data accessible to non-technical users

Build data products that standardize key metrics like attrition rates, engagement scores, and employee mobility

Create specialized data structures for organizational network analysis (ONA) including team dynamics and reporting relationships

Partner with people analytics data scientists, recruiting teams, and various other stakeholders to build scalable data models that serve needs across the company

You may be a good fit if you:

Have 5+ years in data engineering

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

Understand organizational network analysis and graph data concepts

Communicate effectively with both technical and business stakeholders

Strong candidates may also have:

Experience with HRIS data models and integrations (i.e. Rippling, Workday, Lattice, Qualtrics)

Familiarity with ATS platforms (Greenhouse, Lever) and their data structures

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

Application Deadline: 6pm PT on October 26, 2025. We encourage all interested and qualified applicants to submit their materials before this date to ensure full consideration.

The annual compensation range for this role is below. For sales roles, the range provided is the role's On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Our total compensation package for full-time employees includes equity and benefits.

Annual Salary:

$175,000 - $245,000 USD

Logistics

Education requirements: We require at least a Bachelor's degree in a relate

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