Data Engineer, Economic Research

Details

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

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.

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.

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.
• Ability to design, implement and test data models for economic research.
• 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; willingness to do end-to-end work even outside initial scope.
• Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners with varying levels of technical expertise.
• Passion for Anthropic's mission of building helpful, honest, and harmless AI and understanding its economic implications.
• Education: At least a Bachelor's degree in a related field or equivalent experience.

Compensation

• Annual base salary: $275,000 - $355,000 USD.
• Total compensation package for full-time employees includes equity, benefits, and may include incentive compensation.

Logistics & Other Details

• Location: San Francisco, CA. Location-based hybrid policy: currently expect all staff to be in one of our offices at least 25% of the time.
• Visa sponsorship: Anthropic does sponsor visas, though not every role/candidate can be successfully sponsored; they retain an immigration lawyer to assist when an offer is made.
• Deadline to apply: None (applications reviewed on a rolling basis).
• Encouragement to apply even if you do not meet every listed qualification; Anthropic emphasizes diversity and broad representation.

How We're Different

Anthropic values working as a single cohesive team on a few large-scale research efforts, prioritizing high-impact work on steerable, trustworthy AI. The team is collaborative, hosts frequent research discussions, and values communication skills. The role intersects empirical AI research traditions and large-scale "big science" approaches.

Benefits

• Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and office space in San Francisco.
• Guidance on candidates' AI usage provided via Anthropic's candidate AI guidance policy.