MN AI Hub Data Engineering Intern

University of St Thomas • Saint Paul, MN

4d • Onsite

About The Position

The Minnesota Semiconductor AI Hub is a collaborative initiative between the University of St. Thomas College of Engineering and local semiconductor manufacturing companies, including Seagate, SkyWater Technology, and Polar Semiconductor. The Hub focuses on developing data-driven and AI-powered solutions to shared manufacturing challenges with the goal of advancing capabilities that benefit the broader Minnesota semiconductor industry. The Hub is seeking two highly motivated students pursuing a Master’s degree in the College of Engineering @ St Thomas in Data Science, Software Engineering, Electrical & Computer Engineering or Artificial Intelligence with a tentative graduation date of May 2027 or beyond to join as Data Engineering Interns working 20 hrs/week. You will work alongside faculty researchers and graduate students on applied projects with direct relevance to partner company operations. This is a hands-on opportunity to contribute to real engineering problems at the intersection of artificial intelligence and semiconductor manufacturing. Our Data Engineering Interns will support data pipeline development, reporting modernization, and advanced analytics initiatives across factory and operational systems. This position will be based out of St Paul Campus but occasionally may require travel to our industry partner location in the Twin Cities.

Requirements

• Currently pursuing a Master’s degree in the College of Engineering @ St Thomas in Data Science, Software Engineering, Electrical & Computer Engineering or Artificial Intelligence with a tentative graduation date of May 2027 or beyond (we are looking for someone who is at least available both Fall 2026 and Spring 2027 semesters)
• Strong SQL skills and understanding of relational and NoSQL databases
• Basic programming experience in Python or similar language
• Familiarity with data structures and ETL concepts
• Strong analytical and problem-solving skills

Nice To Haves

• Experience with Power BI, Tableau, or similar visualization tools
• Knowledge of cloud platforms or modern data tools
• Exposure to manufacturing or operational datasets
• Interest in automation, AI, or GenAI-based tooling

Responsibilities

• Assist in maintaining data pipelines (Oracle, Postgres, Hive etc.) and resolving issues. Includes troubleshooting packages and tracing data pipelines.
• Support data integration for reporting tools such as Power BI and Tableau
• Help automate workflows using modern tools (e.g., Python, SQL, GenAI tools)
• Support data validation, troubleshooting, and performance optimization

Benefits

• Hands-on experience with enterprise-scale data systems
• Exposure to real-world data engineering challenges in a manufacturing environment
• Opportunity to contribute to high-impact projects
• Mentorship from faculty and experienced data engineering professionals

What This Job Offers

• Job Type: Part-time
• Career Level: Intern