{"@context":"https://schema.org","@type":"JobPosting","directApply":"https://schema.org/False","title":"Data Engineer, AI and Automation","description":"About the Ethereum Foundation

The Ethereum Foundation (EF) is a global non-profit organization dedicated to supporting Ethereum and related technologies. Our mission is to do what is best for Ethereum’s long-term success. Our role is to allocate resources to critical projects, to be a valued voice within the Ethereum ecosystem, and to advocate for Ethereum to the outside world.

Role Summary

As a Data Engineer on the Ecosystem Automation team, you will get the opportunity to build AI-first data pipelines to power our internal metric monitoring and workflow automation platform. The infrastructure you build will underpin this system, utilizing agents or other GenAI tools where required to perform a wide range of workflows across the organisation. For our data gathering operation, you will build out an organisation-wide data store, index and expose the data. For the automation platform, you will build infrastructure to power the context engineering solution that agents rely on. This is an opportunity to get stuck into the inception of a cutting edge platform and make a foundational contribution to essential infrastructure for the organisation.

About the Ecosystem Automation team

The goal of Ecodev Automation is to amplify the success of EF teams by proactively automating processes and workflows in a safe manner. Our goal is to enable teams to focus on the work that matters and spare them from repetitive, boilerplate tasks.

What You’ll Be Doing

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

What We Look For

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

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