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Data Engineering Intern Jobs in Minnesota (NOW HIRING)

Loll Designs

Lifecycle Engineering Intern

Duluth, MN · On-site

$18/hr

At Loll Designs, we're looking for a Lifecycle Product Engineering Intern who is excited to learn ... Participate in product testing, data collection, and analysis activities * Help evaluate product ...

Sandman Structural Engineers

$24 - $27/hr

Sandman Structural Engineers is seeking a Structural Engineering Intern. In this position you will ... Collects data and gathers information or documents * Performs standard computations or analysis

Onto

Mechanical Systems Engineer Intern

Bloomington, MN · On-site

$18.75 - $25.25/hr

Collaborate with manufacturing, electrical, and systems engineering teams to improve equipment ... Important Note on Export Compliance For certain positions requiring access to technical data, U.S ...

Onto

Mechanical Systems Engineer Intern

Bloomington, MN · On-site

$18.75 - $25.25/hr

Collaborate with manufacturing, electrical, and systems engineering teams to improve equipment ... Important Note on Export Compliance For certain positions requiring access to technical data, U.S ...

Teleflex

Engineering Co-Op, R&D

Maple Grove, MN

$17.25 - $22.25/hr

... intern will assist the Engineering team as assigned in efforts that support either development ... Present data and reports at management meetings. Assist in the research, development, and design of ...

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All JobsData Engineering Intern JobsData Engineering Intern Jobs in Minnesota

Data Engineering Intern information

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How much do data engineering intern jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for data engineering intern in Minnesota is $18.92, according to ZipRecruiter salary data. Most workers in this role earn between $15.77 and $20.48 per hour, depending on experience, location, and employer.

What types of projects and technologies can a Data Engineering Intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What does a Data Engineering Intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

What is the difference between Data Engineering Intern vs Data Analyst Intern?

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

What are the key skills and qualifications needed to thrive as a Data Engineering Intern, and why are they important?

To thrive as a Data Engineering Intern, you need foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.
What are the most commonly searched types of Data Engineering jobs in Minnesota? The most popular types of Data Engineering jobs in Minnesota are:
Data Engineering Intern jobs near you
Infographic showing various Data Engineering Intern job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $39,347 per year, or $18.9 per hour.
MN AI Hub Data Engineering Intern

MN AI Hub Data Engineering Intern

University of St Thomas

Saint Paul, MN

$25/hr

Other

Posted 8 days ago

University Of St. Thomas (Minnesota) rating

8.1

Company rating: 8.1 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

152nd of 612 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 optimizationWhat 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 skillsPreferred 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. 

Employment Type: OTHER

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