Welcome to Electric Asset Management (EAM). We are responsible for electric system engineering and planning, asset strategy, and risk management across Transmission, Distribution, and Substation asset families. Within our Asset Management organization, our Distribution group focuses on risk-informed strategic planning, while leveraging lessons learned from inspections and asset data to inform asset management and maintenance decisions. The Asset Risk Management (ARM) team sits within Distribution Asset Strategy, and encompasses Asset Failure Analysis (AFA), Asset Insights, and Inspections & Maintenance Strategy (I&M). ARM is tasked with the development and continuous improvement of how we monitor and maintain our assets, ensuring we support a resilient and reliable grid, and we keep our communities safe. Position Summary The Data Analyst / Data Engineer Intern supports the development of strategies, work plans, and analytics for distribution inspection programs, including aerial, ground, and infrared inspections. This role involves building data solutions, performing analyses, and supporting decision‑making across the organization. The ideal candidate thrives in a fast‑paced environment, enjoys solving complex data problems, and works well with cross‑functional partners. This position follows a hybrid schedule, combining remote work with required on-site days based on business needs. This position is hybrid, working from your remote office and your assigned work location based on business need. The assigned work location will be within the PG&E Service Territory. PG&E is providing the hourly rate range that the company in good faith believes it might pay for this position at the time of the job posting. This compensation range is specific to the locality of the job. The actual hourly rate paid to an individual will be based on multiple factors, including, but not limited to, specific skills, education, licenses or certifications, experience, market value, geographic location, and internal equity.
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Career Level
Intern