Data Engineering Intern

Yes EnergyBoulder, CO
2d$19 - $22Hybrid

About The Position

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

Requirements

  • Experience with SQL; familiarity with Python, Java, or another programming language
  • Basic understanding of databases, data warehouses, and ETL/ELT concepts
  • Ability to communicate technical concepts clearly
  • Strong understanding of Google Suite for Business or MS Office
  • Strong analytical, research and organizational skills
  • Problem-solving and critical thinking
  • Ability to prioritize based on opportunities and effectively multitask
  • Detail oriented
  • Excellent interpersonal and communication skills
  • A strong desire to learn, grow, and explore new things
  • Pursuing a degree in Computer Science, Data Engineering, Data Science, Engineering, or a related field with a GPA of 3.0 or higher.

Nice To Haves

  • Familiarity with version control (e.g., Git)
  • Interest in learning workflow orchestration tools and data pipelines
  • Interest in large-scale data systems and infrastructure

Responsibilities

  • Assist in building, monitoring, and maintaining data pipelines and workflows
  • Support data ingestion, transformation, and storage processes
  • Help troubleshoot and resolve data pipeline or data quality issues
  • Write and optimize SQL queries to validate and analyze data
  • Assist with documenting data pipelines, schemas, and system processes
  • Support testing and validation for new data sources or system enhancements

Benefits

  • Paid internship.
  • Chance to work beside and learn from industry experts.
  • Access workshops that develop your professional skills, including Public Speaking, Presentation Building, Networking, and Tips from Recruiting Experts.
  • Opportunity to present your project to senior leadership within the organization.
  • Build your network by teaming up with subject matter experts in the energy markets industry.
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