Data Engineer, Economic Research

As a Data Engineer on the Economic Research team, you will build, maintain and lead the critical data engineering that powers Anthropic's research on AI's economic impact. You will work with data systems from across Anthropic, including our research tools for privacy-preserving analysis. You will work at the intersection of data engineering and software engineering.

In this role, you will work closely with teams across Anthropic—including Data Science and Analytics, Data Infrastructure, Clio Engineering, Societal Impacts, and Public Policy—to build scalable and robust data systems that support high-leverage, high-impact research. Your work will enable economists and researchers—both internal and external—to understand how AI is transforming economic activity. You will have an opportunity to shape the direction of data foundations for economic research at Anthropic during a period of fast growth.

In this role, you will:

• 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.