
Energy • Science • Government
National Renewable Energy Laboratory is a national laboratory of the U. S. Department of Energy, focused on transforming energy through research, development, commercialization, and deployment of renewable energy and energy efficiency technologies. NREL partners with organizations to accelerate the transition of these technologies to the marketplace. The laboratory covers a range of research areas, including bioenergy, geothermal, hydrogen, solar, transportation, wind, and water. It provides data sets, maps, models, and tools for energy analysis and offers research positions in various fields related to renewable energy. NREL is committed to economic impact, sustainability, diversity, and community collaboration.
1001 - 5000 employees
Founded 1977
⚡ Energy
🔬 Science
🏛️ Government
November 15

Energy • Science • Government
National Renewable Energy Laboratory is a national laboratory of the U. S. Department of Energy, focused on transforming energy through research, development, commercialization, and deployment of renewable energy and energy efficiency technologies. NREL partners with organizations to accelerate the transition of these technologies to the marketplace. The laboratory covers a range of research areas, including bioenergy, geothermal, hydrogen, solar, transportation, wind, and water. It provides data sets, maps, models, and tools for energy analysis and offers research positions in various fields related to renewable energy. NREL is committed to economic impact, sustainability, diversity, and community collaboration.
1001 - 5000 employees
Founded 1977
⚡ Energy
🔬 Science
🏛️ Government
• Ingest, clean, and validate diverse datasets from internal and external sources (e.g., CSVs, spreadsheets, Text Files and SQL dumps) • Design and assemble structured, high-quality relational databases • Collaborate with domain scientists and software engineers to understand data contexts and ensure correct integration into the Sienna Platform • Document data provenance, validation logic, and database design decisions • Write reusable scripts for data transformation and validation (preferably in Python or similar languages) • Contribute to internal Git repositories and maintain clean, reproducible codebases
• Must be enrolled as a full-time student in a Bachelor's, Master's or PhD degree program, or graduated in the past 12 months from an accredited institution. • Must have a minimum of a 3.0 cumulative grade point average. • Completed a Bachelor’s or Master’s degree in Computer Science, Applied Mathematics, Data Science, Software Engineering, or a related field, or currently enrolled in a masters or PhD program in these fields • Must provide a GitHub profile or portfolio showcasing relevant projects as part of application, please include a link in your resume/CV • Strong programming skills in Julia and python with experience with Pandas, NumPy, or similar libraries a plus • Demonstrated experience working with datasets and databases • Ability to communicate technical details clearly and collaborate in a team-oriented environment
• medical, dental, and vision insurance • 403(b) Employee Savings Plan with employer match* • sick leave (where required by law)
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