JOB SUMMARY   

At S&C Electric Company, a 100% employee-owned company, we help keep the lights on for people and businesses worldwide. Our manufacturing roles build the equipment that protects the critical infrastructure of the power grid, and each of our team members lends their unique skills to this crucial mission. We empower our people by providing pathways to a long-term career and support them in their professional growth by sustaining a culture founded on respect, strengthened by collaboration, and measured by our shared successes. The manufacturing industry is booming with opportunities to learn new things, expand your skills, and build a long-term career.   

Join S&C to make an impact on tomorrow’s energy challenges and become an employee-owner!   

Available Shift:  

1st shift: 8:30 am – 5:00 pm, Monday – Friday    

Full-Time Summer 2026 Internship   

Competitive Weekly Pay Period   

At S&C, we are dedicated to providing competitive and equitable compensation for all our team members, and we are committed to transparency in our pay practices. The estimated  per hourly range for this position is $22 - 30 per hour based on experience.   

Join Our Team as an Electrical Engineer Intern!   

 What needs to be done:

• Develop tools for processing large volumes of data, interfacing with Data Lake.
• Design algorithms to identify  abnormalities in power system data.
• Develop tools to derive classification and location information from data
• Write efficient, scalable, and maintainable code.
• Follow best development practices and work in an Agile environment.
• Participate in peer code reviews.
• Create and present a team report at the end of the project.

 Is this job right for you? Here's what we're looking for in a job candidate:

• Must be currently enrolled in a full-time degree program at an accredited university and returning to the program after the completion of the internship.
• Majors in Electrical Engineering, Computer Science, Statistics, or a related major.
• Students pursuing a master's or PhD degree are preferred.
• Has successfully demonstrated application of machine learning and data processing using Python.
• Experience utilizing signal processing techniques.
• Excellent written and verbal communication skills.