Data Engineering Intern

OVERVIEW

Physical AI, a real model of the world, is the next trillion dollar opportunity and a foundational pillar for energy, robotics and superintelligence.

At Jua we are building it now. Our models already run on four continents and help power the energy buildout needed to support ever larger intelligence.

We are assembling a world-class team of researchers and entrepreneurial minds to turn this model into reality at global scale. If you want the opportunity of your life, come build physical AI with us.

WHAT WE’RE LOOKING FOR

We’re looking for an exceptional and ambitious Data Engineering Intern who’s eager to learn fast, take ownership, and contribute to real production systems.

You’ll work together with our experienced data and AI engineers and support expanding and refining Jua’s data infrastructure, focusing on data acquisition, validation, and integration using Dagster, Python, and modern cloud technologies. Your work will directly accelerate our ability to onboard new datasets and improve model performance.

Internship duration: 3 months (extendable to 6 months)

RESPONSIBILITIES AND TASKS

- Integrate and onboard new weather, climate, and geospatial datasets into Jua’s data infrastructure

- Build and maintain robust data pipelines using Dagster, ensuring reliability and scalability

- Collaborate with engineers and scientists to validate data quality, completeness, and usability

- Contribute to documentation and automation that improve data ingestion and processing workflows

- Support hindcast generation and other foundational data operations to increase engineering throughput

- Learn directly from experienced mentors while contributing to production-grade systems that power Jua’s AI models

NEED-TO-HAVE

- Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computational Science, Engineering, Physics, Atmospheric or Earth Science

- or a proof that you are exceptional in your field wit...