Data & Digital Transformation Intern - Geysers

As the largest private-sector power producer in the world and the nation's largest producer of clean and reliable energy, Constellation is focused on our purpose: lighting the way to a brilliant tomorrow for all. We have been the leader in clean energy production for more than a decade, and we are cultivating a workplace where our employees can grow, thrive, and contribute.

Now integrated with Calpine, our portfolio includes 55 gigawatts of capacity from nuclear, natural gas, geothermal, hydro, wind and solar facilities, with the generating capacity to power the equivalent of 27 million homes.

Our culture and employee experience make it clear:
We are powered by passion and purpose. Together, we're creating healthier communities and a cleaner planet, and our people are the driving force behind our success. At Constellation, you can build a fulfilling career with opportunities to learn, grow and make an impact. By doing our best work and meeting new challenges, we can accomplish great things. Join us in meeting the country's energy needs today and tomorrow.

The Data & Digital Strategy Intern will support data modernization, analytics, automation, reporting, and AI initiatives across The Geysers geothermal operations. This role offers hands‑on experience working with operational data, business intelligence tools, databases, and emerging technologies to improve business processes and decision‑making. These paid internships will last approximately 10 weeks starting June 7th, 2027 through August 13th, 2027. This job will be based at the Geysers power plant located at 10350 Socrates Mine Road, Middletown, CA 95461.

• Analyze operational, engineering, maintenance, and business data.
• Develop reports, dashboards, and data visualizations.
• Support data modernization and reporting initiatives.
• Assist with data documentation, governance, and quality improvement efforts.
• Help identify opportunities to automate business processes.
• Support development and testing of reporting and analytics applications.
• Research and evaluate AI and digital technology opportunities.
• Create documentation and communicate findings to technical and business stakeholders.

Master's student (preferred) or Senior Undergraduate pursuing a degree in:
Computer Information Systems, Information Systems, Data Analytics, Computer Science, Software Engineering, Industrial Engineering or a related technical field.

• SQL
• Python
• Advanced Microsoft Excel
• Data analysis and problem solving
• Strong written and verbal communication
• Ability to work independently and manage multiple tasks

• Power BI
• Microsoft Fabric
• VBA/Macros
• Share Point
• Data modeling and database design
• AI / Generative AI tools