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Data Engineer Internship Jobs in Michigan (NOW HIRING)

KLA

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$90K - $153K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Orbotech

Data Scientist - Palantir Developer

Ann Arbor, MI · On-site

$90K - $153K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Kla

Data Scientist - Palantir Developer

Ann Arbor, MI

$90K - $153K/yr

Our expert teams of physicists, engineers, data scientists and problem-solvers work together with ... Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level ...

Corning

... data engineering, software engineering, or relevant hands-on academic, internship, personal, or professional projects. - Strong Python foundation and hands-on experience with at least one machine ...

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All JobsData Engineer JobsData Engineer Internship JobsData Engineer Internship Jobs in Michigan

Data Engineer Internship information

See Michigan salary details

$11

$22

$33

How much do data engineer internship jobs pay per hour?

As of Aug 25, 2026, the average hourly pay for data engineer internship in Michigan is $22.15, according to ZipRecruiter salary data. Most workers in this role earn between $18.03 and $25.14 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 Michigan?

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

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

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

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

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

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

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

Data Engineer Internship jobs near you
Infographic showing various Data Engineer Internship job openings in Michigan as of August 2026, with employment types broken down into 22% Internship, and 78% Full Time. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $46,078 per year, or $22.2 per hour.

Software Engineer Internship

Waggoner Financial

Lansing, MI • On-site

Internship

Posted 5 days ago

Job description

We are looking for software engineer intern to join our internal platform team. You'll work across our full stack, GraphQL API (NestJS), React frontend (Next.js), and PostgreSQL database, building tools that advisors use to make real investment decisions. Scope scales with experience: early-career developers ship well-scoped features with mentorship, while senior developers drive architecture decisions and mentor others.

Responsibilities
  • Design, build, and ship features end-to-end across our internal platform.
  • Build and maintain integrations with financial data providers, including Black Diamond, Capital IQ, FMP, Box, and Redtail, including authentication, error handling, and data parsing.
  • Develop analytics and decision tools, including portfolio metrics, earnings tracking, and risk analysis used by advisors for real investment decisions.
  • Build AI-powered features, including document search, chat over internal knowledge, and workflow automation.
  • Participate in code review, testing, and the ongoing architectural restructure of the platform.

Requirements

  • Experience building and shipping real software in TypeScript or JavaScript, whether professional, academic, or personal projects.
  • Full-stack reasoning: understanding how a UI change relates to an API, and how an API relates to its data.
  • Clear, readable code and constructive participation in code review.
  • Clear communication with non-engineers; our users are financial advisors.
  • Curiosity about the financial domain, no finance background required.
  • Comfort using LLM coding assistance such as Claude Code or OpenAI models.
Nice to Have
  • Experience with Next.js, React, NestJS, GraphQL, PostgreSQL, TypeORM, Nx, or Bun.
  • Third-party API integration experience.
  • Fintech exposure.
  • Python experience.
  • Experience building LLM-powered features.

Benefits

  • Competitive hourly pay.
  • Flexible scheduling around class commitments.
  • Potential path to future opportunities with the firm.
  • Direct mentorship from experienced engineers, with scope that grows as you do.
  • Hands-on ownership of real features used by advisors for real investment decisions.
  • Exposure to modern tooling, including AI-powered development workflows and LLM coding assistants.
  • Small, collaborative engineering team with direct input into architecture and product direction.