Data Engineer, AI and Automation

Ethereum Foundation Logo

Ethereum Foundation

πŸ“Remote - Worldwide

Summary

Join the Ethereum Foundation as a Data Engineer and build AI-first data pipelines for our internal metric monitoring and workflow automation platform. You will design and architect a data store and indexing infrastructure, build and maintain the context engineering API to power workflow agents, and build data pipelines to track critical Ethereum ecosystem metrics. You will also work on smaller automation tasks and larger-scale projects, prototype tools and dashboards, and help define standards and best practices. This role offers the opportunity to contribute to a cutting-edge platform and make a foundational contribution to essential infrastructure. The ideal candidate will have experience with data pipelines, GenAI/Agentic solutions, on-chain data, and orchestration tools. A deep interest in Ethereum and public infrastructure is also essential.

Requirements

  • Experience designing and maintaining data pipelines (batch or streaming)
  • Experience applying GenAI/Agentic solutions in a data engineering context
  • Familiarity with on-chain data and smart contract logic (Solidity / Rust)
  • Experience with orchestration tools like Airflow or Dagster
  • Comfort working with external APIs, datasets, and custom scrapers/indexers
  • Ability to move from ambiguous ideas to structured metrics and reliable systems
  • Familiarity with building data pipelines on AWS, S3 and other cloud platforms and services
  • Familiarity with platforms like Dune, The Graph, Token Terminal
  • Comfort with dashboarding and visualization, both via external platforms (e.g. Dune) and self-hosted tools (e.g. Plotly)
  • Deep interest in Ethereum and public infrastructure

Responsibilities

  • Design and Architect a data store and indexing infrastructure
  • Build and maintain the context engineering api to power workflow agents
  • Build and maintain data pipelines to track critical Ethereum ecosystem metrics
  • Happy working on smaller automation tasks and larger-scale projects
  • Prototype tools and dashboards to make ecosystem data more accessible internally
  • Help define standards and best practices for measuring ecosystem progress
  • Where possible, contribute back to open-source data initiatives across the Ethereum ecosystem

Preferred Qualifications

Interest in collaborating on open-source software and supporting public data infrastructure

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