Data Engineer

Join us at EIT:

At the Ellison Institute of Technology (EIT), we’re on a mission to translate scientific discovery into real world impact. We bring together visionary scientists, technologists, engineers, researchers, educators and innovators to tackle humanity’s greatest challenges in four transformative areas:

• Health, Medical Science & Generative Biology
• Food Security & Sustainable Agriculture
• Climate Change & Managing CO₂
• Artificial Intelligence & Robotics

This is ambitious work - work that demands curiosity, courage, and a relentless drive to make a difference. At EIT, you’ll join a community built on excellence, innovation, tenacity, trust, and collaboration, where bold ideas become real-world breakthroughs. Together, we push boundaries, embrace complexity, and create solutions to scale ideas from lab to society. Explore more at www.eit.org.

Scientific Compute and Data Team

The Scientific Compute and Data team builds the compute, data and tooling foundation behind EIT's science. We run the cloud and GPU infrastructure that the models train on, the data infrastructure that instruments, robots and researchers use, and the data products and shared data models that let one team's results be built on by the next. We provide hands-on expertise in platform engineering, data engineering, and data management, and create common tooling for every lab to accelerate their experiments across gene editing, battery chemistry, plant biology and more. 

Your Role:

At EIT we are seeking a Forward Deployed Engineer to join our Scientific Compute and Data Team. Forward Deployed Data Engineers are a key interface between our core data systems and the research and engineering projects across EIT. You’ll work side-by-side with scientists and engineers in frontier AI and robotics, generative and plant biology, or pathogen surveillance. You will disseminate data engineering best practices into the institutes, ensuring that datasets are accurate, reproducible, versioned-controlled, well-structured, and ready for ML. You will help scientists turn raw information from various sources into high-quality resources, ensuring our technical foundations support the next generation of discovery.

This is a hands-on role for those who thrive on collaborating directly with researchers and engineers, solving problems quickly, and turning complex research requirements into scalable, reliable data pipelines while contributing to the broader EIT platform. We are looking for clear, respectful communicators who are comfortable bringing their own expertise into diverse groups.