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Fall Tech Internship Jobs in Minnesota (NOW HIRING)

GDIT

Data Scientist-Jr

Rochester, MN · Hybrid

$102K - $138K/yr

Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide ... Experience: 3+ years of related experience, including academic or internship-based data science ...

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Fall Tech Internship information

What kinds of projects or tasks do Fall Tech Interns typically work on during their internship?

Fall Tech Interns often participate in hands-on projects that may include software development, coding, quality assurance, data analysis, or assisting with IT support and troubleshooting. Interns commonly collaborate with full-time engineers and product managers, attending stand-up meetings, contributing to code reviews, and learning agile development practices. The assignment of tasks is usually tailored to match your academic experience and career goals, ensuring valuable real-world exposure. This role provides an excellent opportunity to gain practical experience, build a professional network, and develop technical skills that can enhance future career prospects in technology.

What are the key skills and qualifications needed to thrive in the Fall Tech Internship position, and why are they important?

To excel in a Fall Tech Internship, you typically need a foundational understanding of computer science principles, problem-solving abilities, and coursework or experience in relevant programming languages. Familiarity with development tools such as Git, project management software, and common frameworks like React or Python is often required. Strong communication, adaptability, and eagerness to learn are standout soft skills for this role. These skills help interns contribute effectively to tech projects, collaborate with team members, and quickly adapt to the dynamic nature of the technology industry.

What is a Fall Tech Internship job?

A Fall Tech Internship is a short-term, typically paid position for students or recent graduates to gain hands-on experience in technology-related fields during the fall semester. Interns work on real-world projects, develop technical skills, and collaborate with professionals in areas like software development, data analysis, cybersecurity, or IT support. These internships provide valuable industry exposure and can lead to full-time opportunities after graduation.

Is 16 an hour good for an internship?

For a Fall Tech Internship, $16 an hour is generally considered competitive for entry-level technical internships, especially if it includes relevant skills development and mentorship. However, pay rates vary by location, industry, and company size, so comparing with local standards can provide better context.

Is it too late to get a fall internship?

Fall tech internships typically have application deadlines in late summer or early fall, but some companies accept late applications or have rolling admissions. It is advisable to check specific company timelines and apply as soon as possible to increase your chances of securing an internship.

Is 20 an hour good for an intern?

For a Fall Tech Internship, $20 an hour is generally considered above average, as many internships pay between $15 and $20 per hour. The pay can vary based on location, industry, and the intern's skill level, but $20 per hour typically reflects a competitive rate for technical internships. Factors such as the complexity of tasks and potential for skill development also influence the value of the compensation.

Does Amazon offer fall internships?

Yes, Amazon offers fall internships for students interested in gaining experience in areas such as operations, software development, and logistics. These internships typically last several months and may require prior coursework or skills related to the specific role. Applicants should check Amazon's careers website for current availability and application deadlines.
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Infographic showing various Fall Tech Internship job openings in Minnesota as of July 2026, with employment types broken down into 34% Full Time, 33% Part Time, and 33% Temporary. Highlights an 33% In-person, and 67% Remote job distribution.
MN AI Hub Data Engineering Intern

MN AI Hub Data Engineering Intern

University of St Thomas

Saint Paul, MN • On-site

$25/hr

Other

Posted 25 days ago

University Of St. Thomas (Minnesota) rating

7.7

Company rating: 7.7 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

226th of 553 rated colleges and universities

Job description

OVERVIEW
Job Title: MN AI Hub Data Engineering Intern
Location:St. Paul
Pay Rate: $25/per hour
Hours: Up to 20 hours a week.
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.
Key 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
What You Will Gain
- 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
QUALIFICATIONS
Required Qualifications
- 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
Preferred Qualifications
- 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
In your cover letter please specify your familiarity with the tools, programming languages and other skills listed under the Required and Preferred Qualifications.

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