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Data Engineer, Economic Research

Anthropic

$275,000 - $355,000
Oct 17, 2025
San Francisco, CA, US
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Anthropic is looking to solve the problem of creating reliable, interpretable, and steerable AI systems, with a focus on understanding the economic impact of AI.

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.
  • Design, implement and test data models for economic research.
  • 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.

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.

Other

  • At least a Bachelor's degree in a related field or equivalent experience.
  • Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time.
  • Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate.
  • Strong communication skills to collaborate effectively with economists, researchers, and cross-functional partners who may have varying levels of technical expertise.
  • We encourage you to apply even if you do not believe you meet every single qualification.