T&D Performance and Reliability Engineering Intern (Summer 2027)

AES

Hours: Full time
Where: US, Dayton, OH
Posted: Sep 11

Are you ready to be part of a company that's not just talking about the future, but actively shaping it? Join The AES Corporation, the largest US-based global power company with a team of 8,300 employees across 12 countries.

AES has been ranked #1 by BloombergNEF in renewable energy sales to corporations in the US and Americas for five consecutive years, providing electricity for millions of people worldwide.

We are proud to foster a strong workplace culture, earning prominent positions in Great Place to Work™ rankings across the markets where we operate. AES was also named one of the World’s Most Ethical Companies for the 13th consecutive year in 2026, highlighting our dedication to integrity, transparency, and responsible business practices.

Our spirit of innovation continues to earn industry recognition.

What you'd do

Analyze outage data to identify patterns, recurring issues, underperforming circuits, and potential causes.
Assist with the preparation, validation, and reconciliation of reliability metrics, including SAIDI, SAIFI, and CAIDI.
Support asset health analyses by combining equipment condition, age, and failure information to help prioritize transformers, breakers, circuits, and other utility assets.
Build and maintain dashboards, reports, and visualizations in Power BI.
Clean, organize, and validate data from multiple utility systems and sources.
Participate in working sessions and performance reviews with engineers.
Document data sources, assumptions, calculations, and analytical methodologies.
Support special projects related to reliability improvement, outage root cause analysis, asset performance, and infrastructure planning.

What they want

Currently pursuing a degree in engineering, data analytics, computer science, or a related field.
Working knowledge of Microsoft Excel and an interest in developing data analysis and visualization skills.
Interest in Power BI, SQL, Python, or similar analytical tools is preferred but not required.
Strong attention to detail and an interest in data quality, validation, and reconciliation.
Ability to organize work, follow through on assignments, and collaborate with a multidisciplinary team.
Curiosity about the energy industry, utility operations, reliability, and asset management.
No prior utility experience is required.

Starts: 2026-09-11