Join the Market Leader in Electric Power Data and Analytics Solutions The electrical grid is the largest and most complicated machine ever built. Yes Energy’s industry-leading electric power trading analytics software provides real-time visibility into the massive amount of data generated by the North American electrical grid daily. Our unique and innovative view of the data informs real-time trading decisions and mid-to-long-term investment decisions that keep utility prices low, support the energy transition, and keep the grid running. It’s both challenging work and work with a purpose. Be a part of our successful, growing business during international transformation. Position Summary Join our 2026 Yes Energy Internship Program and enjoy the opportunity to work on exciting projects to shape your career in Data Engineering. The intern position will help support the design, development, and maintenance of data pipelines and systems that power our products and analytics. This role provides hands-on experience working with real-world data, production systems, and modern data engineering tools. As an intern in our Data Engineering team, you will gain exposure to modern data engineering tools and practices while supporting meaningful, real-world projects. Internship Program Period: 6/1/2026 - 8/7/2026 Full-Time; temporary w/ no benefits Hybrid Location: Yes Energy Boulder, CO office Hourly Rate Range: $19.00/hr - 1st year Intern $20.00/hr - 2nd year Intern $21.00/hr - 3rd year Intern $22.00/hr - 4th year Intern Reports to: Data Engineer II The intern will learn and be exposed to Hands-on experience working with production data systems Exposure to real-world data engineering workflows and tools Mentorship from experienced data engineers Opportunities to contribute to meaningful, high-impact data projects Project Work Your official project depends on what skills you have and what skills you are looking to develop. They could include the following: Developing or enhancing data pipelines for specific datasets Implementing data quality checks or monitoring processes Supporting data migrations Building internal tools or scripts to automate data processing tasks Presenting project outcomes and learnings to the data engineering team
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Job Type
Full-time
Career Level
Intern
Number of Employees
251-500 employees