ZipRecruiter

Log In

1

Data Engineer Internship Jobs in Minnesota (NOW HIRING)

General Mills

$28.85/hr

Internship - Research & Development Engineer General Mills makes food the world loves. The company ... You'll develop and enhance your digital skills, gaining experience in data analysis, project ...

New

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

Stryker

$35/hr

What You Get Out of the Internship At Stryker, we believe that developing the next generation of ... Proficiency in SQL and at least one statistical/analytical programming language (Python or R)

New

previous page

Showing results 41-60

All JobsData Engineer JobsData Engineer Internship JobsData Engineer Internship Jobs in Minnesota

Data Engineer Internship information

See Minnesota salary details

$13

$24

$37

How much do data engineer internship jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data engineer internship in Minnesota is $24.89, according to ZipRecruiter salary data. Most workers in this role earn between $20.24 and $28.27 per hour, depending on experience, location, and employer.

What is a data engineer internship?

A Data Engineer Internship is a temporary, entry-level role where interns gain hands-on experience in data infrastructure, ETL pipelines, and database management. Interns typically work with large datasets, assist in building data models, and collaborate with data scientists and analysts to ensure efficient data processing. They learn tools like SQL, Python, and cloud platforms while improving data quality and automation processes. This role provides valuable industry experience and prepares interns for full-time data engineering positions.

What types of projects or tasks can I expect to work on during a data engineer internship?

As a Data Engineer Intern, you can expect to assist with building and maintaining data pipelines, cleaning and transforming datasets, and supporting the integration of new data sources. You may also help optimize database performance, troubleshoot data quality issues, and collaborate with data scientists or analysts to ensure data accessibility. Interns often work on real-world projects that offer hands-on experience with tools and technologies common in the industry. This exposure not only builds your technical skills but also provides valuable insights into how data engineering supports business decision-making and analytics.

What are the key skills and qualifications needed to thrive in a data engineer internship, and why are they important?

To thrive as a Data Engineer Intern, you need a solid background in programming (especially Python or Java), SQL, and basic data management concepts, often gained through coursework in computer science, data science, or related fields. Experience with tools like SQL databases, ETL pipelines, and cloud platforms (such as AWS or Azure), as well as familiarity with big data frameworks like Hadoop or Spark, is highly valuable. Strong analytical thinking, attention to detail, and the ability to communicate technical information clearly help interns collaborate effectively within diverse teams. These skills are vital for supporting data infrastructure development, ensuring data quality, and contributing to impactful data-driven solutions.

What does a data engineer intern do?

A data engineer intern assists in designing, building, and maintaining data pipelines and infrastructure to support data analysis and storage. They often work with tools like SQL, Python, and cloud platforms, gaining experience in data processing, database management, and data warehousing under supervision.

What are the most commonly searched types of Data Engineer jobs in Minnesota?

The most popular types of Data Engineer jobs in Minnesota are:

What are popular job titles related to Data Engineer Internship jobs in Minnesota?

For Data Engineer Internship jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Data Engineer Internship jobs in Minnesota look for?

The top searched job categories for Data Engineer Internship jobs in Minnesota are:

What cities in Minnesota are hiring for Data Engineer Internship jobs?

Cities in Minnesota with the most Data Engineer Internship job openings:

Data Engineer Internship jobs near you
Infographic showing various Data Engineer Internship job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $51,778 per year, or $24.9 per hour.

Analyst - Data Analyst I at Veterans Sourcing Group LLC Maple Grove, MN

Fairweather, LLC

Maple Grove, MN • On-site

$60 - $90/hr

Other

Posted 3 days ago

New

Job description

Analyst - Data Analyst I job at Veterans Sourcing Group LLC. Maple Grove, MN.

Job Description

This will be hybrid to start and eventually be an onsite position (M-F).

About the role

In this exciting role, you will support the data and development of complex electro-mechanical medical device systems within the Interventional Cardiology Coronary Therapies team. This role will utilize a variety of new and proven technologies to deliver life-changing medical devices to patients and clinicians in support of BSC's mission.

Responsibilities include
  • Review, annotate, and prepare medical images to support machine learning & classical algorithm development.
  • Maintain the storage and organization of medical images, annotations, and associated information.
  • Develops tools for analyzing data sets and processing medical images through commercial & exploratory algorithms.
  • Collaborate closely with data scientists, cloud data engineers, algorithm engineers, clinical engineers, software engineers and systems engineers locally and globally
  • In all actions, lead with integrity and demonstrate a primary commitment to patient safety and product quality by maintaining compliance to all documented quality processes and procedures.
Required Qualifications
  • Bachelor's degree or higher in Computer Science, Data Science, Biomedical Engineering or related field
  • Experience with MATLAB or Python
  • Self-motivated with a passion for solving problems.
  • Excellent organizational, communication, and collaboration skills

Would like to see Internships in experience.

Preferred Qualifications
  • Experience with AWS and cloud technologies
  • Experience with machine learning development frameworks
  • Working knowledge of image processing
  • Manipulating tabular metadata using SQL and Python's Pandas library
  • Knowledge of HIPAA, FDA regulations (21 CFR Part 11), GDPR for medical device data governance.

OT: Eligible for 1.40 OT Mark-Up: Yes

#J-18808-Ljbffr

Apply