Data Engineer, Economic Research

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. The Economic Research Data Engineer will build, maintain, and lead the data engineering that powers Anthropic's research on AI's economic impact. You will work at the intersection of data engineering and software engineering with teams across Data Science & Analytics, Data Infrastructure, Clio Engineering, Societal Impacts, and Public Policy to build scalable, privacy-preserving, and robust data systems for economic research.

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 analytic functionality for research needs.
• Design and build novel data systems leveraging language models (e.g., CLIO) where traditional patterns do not yet exist.
• Develop and maintain interoperable data pipelines across data sources, including ingesting external data, designed to support economic analysis.
• Lead strategic development of the economic research data foundations roadmap.
• Ensure data reliability, integrity, and privacy compliance across economic research pipelines and retention runs.
• Create documentation and best practices to enable self-serve data access for researchers while maintaining security and governance standards.
• Collaborate with Data Science & Analytics and Data Infrastructure teams to align on tooling, infrastructure patterns, and shared data resources.

Requirements

• 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.
• Strong programming skills in Python and SQL, with experience building production-quality data pipelines and analytical tools.
• Experience designing, implementing, and testing data models for economic research.
• Demonstrated ability to translate ambiguous questions into concrete technical requirements and scalable solutions.
• A bias for action and urgency; willingness to solve problems end-to-end even outside original job boundaries.
• Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners.
• Education: at least a Bachelor's degree in a related field or equivalent experience.

Logistics & Hiring Notes

• Location: San Francisco, CA. Location-based hybrid policy: staff are expected to be in an office at least ~25% of the time (hybrid).
• Visa sponsorship: Anthropic does sponsor visas and retains immigration counsel, though sponsorship is not guaranteed for every role/candidate.
• Deadline: None; applications reviewed on a rolling basis.

Benefits & Culture

• Competitive compensation, equity, benefits, optional equity donation matching, generous vacation and parental leave, and flexible working hours.
• Collaborative research-focused culture valuing high-impact, large-scale AI research and strong communication.
• Guidance provided on candidate AI usage during the application process.

Technologies & Concepts Mentioned

Python, SQL, data pipelines, data infrastructure, cloud platforms (AWS, GCP), privacy-preserving tools and analysis, language models (e.g., CLIO), data modeling for economic research, data reliability, integrity, and governance.