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)
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