Anthropic · 3 hours ago
Data Engineer, Economic Research
San Francisco, CA
Full-time
Hybrid
Senior Level
$230K/yr - $275K/yr
5+ years expAnthropic is a public benefit corporation dedicated to creating reliable and beneficial AI systems. They are seeking a Data Engineer for their Economic Research team to build and maintain data engineering systems that support research on AI's economic impact, collaborating with various teams to ensure data reliability and privacy compliance.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyMachine Learning
Responsibilities
Build and maintain data pipelines that process large scale Claude usage logs into canonical, reusable datasets while maintaining user privacy
Expand privacy-preserving tools to enable new analytic functionality to support research needs
Design and build upon novel data systems leveraging language models (e.g., CLIO) where traditional data engineering patterns don't yet exist
Develop and maintain data pipelines that are interoperable across data sources (including ingesting external data) and are designed to support economic analysis
Lead the strategic development of the economic research data foundations roadmap
Ensure data reliability, integrity, and privacy compliance across all economic research pipelines and retention runs
Create documentation and best practices that enable self-serve data access for researchers while maintaining security and governance standards
Collaborate with the broader Data Science and Analytics and Data Infrastructure teams to align on tooling, infrastructure patterns, and shared data resources
Qualification
Required
5+ years of experience as a Data Engineer, Analytics Engineer, or Software Engineer working on data engineering or data foundations, with a track record of building and maintaining production systems
Experience with data infrastructure and large datasets in production environments
Experience with cloud infrastructure platforms such as AWS or GCP
Design, implement and test data models for economic research
A passion for Anthropic's mission of building helpful, honest, and harmless AI and understanding its economic implications
Strong programming skills in Python and SQL, with experience building production-quality data pipelines and analytical tools
Demonstrated ability to translate ambiguous questions into concrete technical requirements and scalable solutions
A bias for action and urgency, not letting perfect be the enemy of the effective
A 'full-stack mindset', not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description
Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise
At least a Bachelor's degree in a related field or equivalent experience
Preferred
Background in econometrics, statistics, or quantitative social science research
Experience building data infrastructure and data foundations for research
Familiarity with large language models, AI systems, or ML research workflows
Prior work on projects related to labor economics, technology adoption, or economic measurement
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
Sherwood News
2026-01-16
The Express Tribune
2026-01-16
2026-01-16
Company data provided by crunchbase