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Data Engineer Internship Jobs in Minnesota (NOW HIRING)

Data Engineer

Saint Paul, MN ยท On-site

$101K - $130K/yr

Data Engineer * Full Time * Onsite/Hybrid Preferred Data Engineer provides technical leadership ... internship experience, or equivalent hands-on industry experience may be considered in lieu of ...

The intern will apply programming and software engineering skills to integrate existing test ... Important Note on Export Compliance For certain positions requiring access to technical data, U.S ...

Industrial Engineering Intern

Winona, MN

$16.25 - $21/hr

This internship is designed for students who want hands-on exposure to real manufacturing ... Ability to analyze processes and interpret data accurately * Interest in manufacturing, operations ...

For statistics, biostatistics, and informatics interns: Previous work experience or course work in computer programming and the use of software packages for data management and statistical analysis ...

For statistics, biostatistics, and informatics interns: Previous work experience or course work in computer programming and the use of software packages for data management and statistical analysis ...

For statistics, biostatistics, and informatics interns: Previous work experience or course work in computer programming and the use of software packages for data management and statistical analysis ...

For statistics, biostatistics, and informatics interns: Previous work experience or course work in computer programming and the use of software packages for data management and statistical analysis ...

For statistics, biostatistics, and informatics interns: Previous work experience or course work in computer programming and the use of software packages for data management and statistical analysis ...

For statistics, biostatistics, and informatics interns: Previous work experience or course work in computer programming and the use of software packages for data management and statistical analysis ...

For statistics, biostatistics, and informatics interns: Previous work experience or course work in computer programming and the use of software packages for data management and statistical analysis ...

Senior Mechanical Engineer

Chaska, MN ยท On-site

$112K - $148K/yr

Direct technical discussions and analyze evidence to make data-driven decisions ensuring ... Mentor junior engineers, interns, and co-op roles to foster technical growth and team development ...

Senior Mechanical Engineer

Chaska, MN ยท On-site

$112K - $148K/yr

Direct technical discussions and analyze evidence to make data-driven decisions ensuring ... Mentor junior engineers, interns, and co-op roles to foster technical growth and team development ...

Senior Mechanical Engineer

Chaska, MN

$112K - $148K/yr

Direct technical discussions and analyze evidence to make data-driven decisions ensuring ... Mentor junior engineers, interns, and co-op roles to foster technical growth and team development ...

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Showing results 1-20

Data Engineer Internship information

See Minnesota salary details

$13

$24

$37

How much do data engineer internship jobs pay per hour?

As of Jun 15, 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 are the key skills and qualifications needed to thrive in the Data Engineer Internship position, 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 is a Data Engineer Internship job?

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 most commonly searched types of Data Engineer jobs in Minnesota? The most popular types of Data Engineer 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:
Infographic showing various Data Engineer Internship job openings in Minnesota as of June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 100% In-person job distribution, with an average salary of $51,778 per year, or $24.9 per hour.

Data Engineer

Accelint

Saint Paul, MN โ€ข On-site

$101K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 9 days ago


Job description

Note: This position is contingent upon contract award.
Accelint is a mission-driven technology company focused on strengthening national security and supporting critical industries. We build the technologies that help operators and organizations see what's happening, make faster and better decisions, take action with confidence, and stay ready for what comes next. Our work includes advanced sensors, autonomous systems, mission command and control software, AI-enabled training and simulation, and tools that improve logistics, maintenance, and overall readiness.
For nearly 30 years we have supported military and civilian agencies across the Department of Defense, U.S. allies and partners, and essential industries. When you join Accelint, your work directly contributes to protecting national security and strengthening the systems our society depends on.
Accelint brings together the talents of Hypergiant, Forward Slope, Systems Innovation Engineering, SoarTech, and Highbury Defense Group under one mission, with each entity contributing deep expertise in its domain. This role is part of our Systems Innovation Engineering (SIE) division, which specializes in readiness and logistics, autonomous platforms, and sensor technologies. SIE develops resilient, integrated systems that enhance situational awareness, sustain mission readiness, and deliver reliable performance across air, ground, and maritime environments.
Job Description
  • Data Engineer
  • Full Time
  • Onsite/Hybrid Preferred

Data Engineer provides technical leadership, analytical expertise, and program oversight in the areas of data engineering, modeling and simulation (M&S), and systems analysis. This position is responsible for managing the technical execution of technical data modeling efforts in direct support of Navy and Department of Defense (DoD) programs. Integrates multidisciplinary engineering methodologies to ensure that model development, data management, and analytical outputs align with program objectives, technical standards, and customer requirements. The ideal candidate has 2 to 5 years of experience using Orchestration tools (Apache Airflow) and data processing tools (Apache Spark) with a demonstrated ability to collaborate with cross-functional teams.
Duties & Responsibilities
  • Collaborate with software developers, data scientists, and product managers to understand requirements, gather specifications and align on project goals.
  • Contribute technical expertise in data engineering to design and implement data solutions that support software development initiatives.
  • Participate in planning sessions to develop data pipeline architecture that align with project requirements.
  • Design data ingestion, transformation, and storage workflows that are scalable and meet software performance requirements.
  • Implement data quality checks and validation procedures to ensure data accuracy and integrity within software products.
  • Conduct comprehensive testing, including unit, integration, and system testing ensuring application quality and functionality stay in specifications.
  • Debug and resolve complex software defects and issues.
  • Document data engineering processes, pipeline configurations, and data flows to ensure consistency and future support.
  • Ensure accuracy and completeness of all documentation.
  • Foster effective collaboration with cross-functional teams to achieve project objectives.
  • Communicate complex technical information clearly and effectively.
  • Utilize advanced software development tools and methodologies to support project requirements.
  • Integrate software development tools and methodologies into the workflow to improve efficiency and accuracy.
  • Manage projects, including planning, execution, and delivery.
  • Coordinate with cross-functional teams to ensure project objectives are met on time and within budget.
  • Performs other duties as assigned.

Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field required; advanced degree, relevant internship experience, or equivalent hands-on industry experience may be considered in lieu of traditional qualifications.
  • Proficient with Orchestration tools (Apache Airflow) and data processing tools (Apache Spark)
  • Advanced knowledge of object storage and management of unstructured data
  • Experience utilizing cross-domain solutions in a secure environment
  • Advanced knowledge of containerization technologies supporting enterprise software deployment (Kubernetes, Docker, Helm, etc.)
  • Proficient knowledge of data engineering workflows such as extract, transform, load (ETL) processes and data warehousing
  • Advanced level knowledge of software development processes including Agile methodologies.
  • Conversant with object-oriented programming languages
  • Excellent written and oral communication.
  • Currently holds an active U.S. national security clearance or be able to receive and maintain one.

Preferred Qualifications
  • Current CompTIA Security + Certification
  • Experience with Typescript/Express and FastAPI frameworks
  • Experience with PostgreSQL
  • Experience with a modern JavaScript framework (Angular, React, etc.)
  • Experience with software development frameworks and libraries.
  • In-depth understanding of the aerospace and defense industry.
  • Knowledge of DoD software development policies and requirements

Physical Requirements
  • Prolonged periods sitting at a desk and working on a computer.
  • Must be able to lift up to 15 pounds at times.
  • This position is hybrid located in St. Paul, MN.
  • Fully remote candidates may be considered with increased expectation for travel.
  • This position may require the ability to travel up to 5%.

Work Environment
Hybrid work arrangements are strongly preferred for this role to support regular in-person collaboration with program and project teams. Fully remote candidates may still be considered; however, remote employees should expect increased travel requirements to support onsite team engagement. Employees may telework on designated days or as needed with supervisor approval, provided they maintain established communication expectations and effectively meet job responsibilities. Travel may be required 1-2 times per month to customer sites, subcontractor locations, and other company offices.
Clearance Requirements
Some positions will require access to U.S. National Security information. Positions that require this access will be required to receive and maintain a U.S. government personnel security clearance (PCL). In order to qualify for this position, the candidate must be a US Citizen and either currently possess this National Security eligibility or be able to complete the investigation application process with a favorable determination and maintain that eligibility throughout their employment.
Pay Scales & Benefits
The listed pay scale reflects the broad, minimum to maximum, pay scale for this position for the location for which it has been posted and is not a guarantee of compensation or salary. Other compensation considerations may include, but are not limited to, job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, or other applicable factors.
Benefits include...
Paid Time Off
Paid Company Holidays
Medical, Dental & Vision Insurance
Optional HSA and FSA
Base and Voluntary Life Insurance
Short Term & Long-Term Disability Insurance
401k Matching
Employee Assistance Program
The pay range for this role is:
101,998 - 130,630 USD per year (St. Paul, MN)