Hybrid Data Engineering Intern

Posted 6 days ago

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About the role

  • Data Engineering Intern working with data as Jua builds AI for climate and geospatial datasets. Contributing to the integration and validation of new datasets with experienced mentors.

Responsibilities

  • 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

Requirements

  • Currently pursuing or recently completed a Bachelor’s or Master’s degree in Computational Science, Engineering, Physics, Atmospheric or Earth Science
  • Strong programming skills in Python and familiarity with Git
  • High intellect, curiosity, strong attention to detail, and a drive to excel in a fast-paced environment

Benefits

  • Internship duration: 3 months (extendable to 6 months)

Job title

Data Engineering Intern

Job type

Experience level

Entry level

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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