PG&E is looking for a Distribution Operations Engineering Intern to gain hands‑on experience with utility systems and operational processes. You will support system operations engineers by performing data analysis, documentation, modeling, and project activities, working directly with asset data and enterprise systems.
What You'll Do
- Collaborate with engineers and team members to support ongoing operational issues, projects, and engineering activities.
- Assist with implementing project and program initiatives, including preparing materials, tracking progress, and documenting results.
- Create technical reports, summaries, and business cases using established templates and engineering inputs.
- Prepare letters, forms, meeting summaries, presentations, memorandums, and reference data sets.
- Develop and maintain operational data metrics, statistics, dashboards, and trend analyses.
- Document data sources, data methodologies, and evaluation models used for engineering decisions.
- Gather and analyze data sets related to distribution assets, system performance, or operational processes; present findings and actionable insights to the team.
- Support regulatory and compliance activities by collecting data, preparing exhibits, and maintaining documentation.
- Track engineering and operational information using internal systems and databases.
- Perform drawing searches and compile inventory of equipment, specifications, and standards supporting engineering programs.
- Update SAP asset registry information to improve accuracy of distribution asset and equipment records.
- Assist with system model cleanup or data verification in GIS, SAP, OMS, and other enterprise systems.
What We're Looking For
- Currently enrolled in a bachelor’s or master's program in electrical engineering, computer science, data science, or a similar degree.
- Must be continuing education toward a degree during and/or after the internship.
Nice to Have
- Pursuing a bachelor’s degree in electrical engineering.
- Strong interest in power systems, grid operations, asset management, or engineering analysis.
- Experience with data analysis tools like Excel, Python, Power BI, SQL, or similar.
- Familiarity with engineering documentation, technical writing, or data management.
- Ability to analyze, interpret, and present technical information.
- Strong attention to detail and organizational skills.
- Excellent communication skills and ability to work autonomously and collaboratively in a team environment.
Technical Stack
- Excel, Python, Power BI, SQL
- GIS, SAP, OMS
Team & Environment
The intern will work closely with engineers, supervisors, and cross-functional stakeholders.
Work Mode
This is a hybrid position. Work will be performed from our office in Rocklin.
