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Ethereum Foundation
Data Engineer AI and Automation
about 15 hours ago | 19 views | 1 applications

Data Engineer AI and Automation

Full-time
Remote

About the company

The Ethereum Foundation (EF) is a non-profit organization dedicated to supporting Ethereum and related technologies. The EF is not a company, or even a traditional non-profit. We do not control Ethereum, nor are we the only organization that funds critical development of Ethereum-related technologies. We are part of a large ecosystem of organizations, individuals, and companies that support Ethereum. 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. Since 2014, EF has hosted Devcon, an annual 4-day conference which has become the oldest and most prominent event in the Ethereum community (and arguably the entire blockchain space). The event attracts developers, designers, researchers, creators, and others — many of whom are intrigued by cutting-edge technology, decentralization, privacy/security, free and open-source software, and the potential for Ethereum to change the world for the better. For a look at past Devcon editions and their speakers, see here: http://archive.devcon.org/. Devcon 7 (aka Devcon Southeast Asia) will take place this year in Bangkok between the dates of 12-15 November.

Job Summary

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

Looking for your next challenge? The world of crypto offers exciting roles in blockchain development, web3 innovations, and remote opportunities.

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