Anthropic · 12 hours ago
People Analytics Data Engineer
Seattle, WA
Full-time
Hybrid
Senior Level
$175K/yr - $245K/yr
5+ years expAnthropic is a public benefit corporation focused on creating reliable and interpretable AI systems. They are seeking a People Analytics Data Engineer to build and maintain the data infrastructure that powers their people analytics capabilities, enabling evidence-based decision-making across the organization.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
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
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
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
Qualification
Required
5+ years in data engineering
Expert in BigQuery including optimization and partitioning
Built dimensional models and understand slowly changing dimensions
Proficient in SQL, Python, and modern tools like DBT and Fivetran
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
At least a Bachelor's degree in a related field or equivalent experience
Preferred
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
Benefits
Equity and benefits
Optional equity donation matching
Generous vacation and parental leave
Flexible working hours
Company
Anthropic
Anthropic is an AI research company that focuses on the safety and alignment of AI systems with human values.
501-1000 employees
H1B Sponsorship
Anthropic has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (105)
2024 (13)
2023 (3)
2022 (4)
2021 (1)
Funding
Current Stage
Late StageTotal Funding
$33.74BKey Investors
Lightspeed Venture PartnersGoogleAmazon
2025-09-02Series F· $13B
2025-05-16Debt Financing· $2.5B
2025-03-03Series E· $3.5B
Leadership Team
Dario Amodei
CEO & Co-Founder
Daniela Amodei
President and co-founder
Recent News
Longevity.Technology
2026-01-14
2026-01-14
Company data provided by crunchbase