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Research Engineer Intern Jobs in Michigan (NOW HIRING)

Engineering Intern - Summer 2027

Dexter, MI

$16 - $20.75/hr

Research & Development Engineering * Support design, development, analysis, and testing of ... the intern cohort from June 1 through August 13 for semester system programs or June 14 through ...

Engineering Intern - Summer 2027

Dexter, MI

$16 - $20.75/hr

Research & Development Engineering * Support design, development, analysis, and testing of ... the intern cohort from June 1 through August 13 for semester system programs or June 14 through ...

Showing results 21-40

Research Engineer Intern information

See Michigan salary details

$10

$18

$27

How much do research engineer intern jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for research engineer intern in Michigan is $18.36, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $20.96 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a research engineer intern?

To thrive as a Research Engineer Intern, you generally need a solid background in engineering principles, data analysis, and problem-solving, typically supported by progress toward a relevant STEM degree. Familiarity with technical tools such as MATLAB, Python, simulation software, and laboratory equipment is often required. Strong communication, initiative, and teamwork skills help interns effectively contribute to research projects and collaborate with senior engineers. These skills and qualities are crucial for applying theoretical knowledge to practical challenges and making meaningful contributions in a research-driven environment.

What does a research engineer intern do?

A Research Engineer Intern assists in the development, testing, and analysis of new technologies, products, or processes under the guidance of senior engineers and researchers. Their work may involve conducting experiments, collecting and analyzing data, building prototypes, and documenting results. The role is typically hands-on and collaborative, offering interns the chance to apply theoretical knowledge from their studies to real-world engineering problems. Research Engineer Interns also gain valuable experience with industry tools and methodologies, and often contribute to ongoing research projects. This position is ideal for students or recent graduates seeking practical experience in engineering research.

What types of projects can a research engineer intern expect to work on, and how much autonomy is typically given?

As a Research Engineer Intern, you can expect to work on a range of projects that may include developing prototypes, running experiments, or analyzing large datasets to support ongoing research initiatives. Interns often collaborate closely with experienced engineers and researchers, and while tasks may start with guidance, you’ll likely gain more autonomy as you demonstrate your abilities. Many organizations encourage interns to take ownership of a specific component or project deliverable, providing both mentorship and the opportunity to contribute meaningfully to published research or product development.
What are the most commonly searched types of Research Engineer jobs in Michigan? The most popular types of Research Engineer jobs in Michigan are:
What cities in Michigan are hiring for Research Engineer Intern jobs? Cities in Michigan with the most Research Engineer Intern job openings:
Infographic showing various Research Engineer Intern job openings in Michigan as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 10% Part Time, 1% Temporary, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $38,189 per year, or $18.4 per hour.

$16.75 - $21.50/hr

Other

Posted 15 days ago


Job description

Get to know East Penn!
Navitas Systems LLC, a leader in comprehensive energy storage solutions, was formed in 2011 with the merger of MicroSun Innovative Energy Storage Solutions and MicroSun Electronics, and the acquisition of lithium battery company A123 Systems' Government Solutions Group. In 2019, East Penn Manufacturing, one of the world's leading battery manufacturers, acquired majority interest in Navitas Systems. In SEVEN remarkable decades, East Penn has grown from a one-room shop with a product line of five automotive batteries to one of the world's leading battery manufacturers with over 10,500 full-time employees, 515 product designs, operations around the world, and hundreds of awards for industry excellence.
At our Navitas facilities we engage in the research, design, development, and manufacture of advanced lithium cells and energy storage products and systems for both commercial customers and U.S. Government/military customers. We invest in our people, they are and always will be the heart of this company. Are you ready to join a family-owned enterprise committed to honoring the contributions of everyone? Then Navitas is the right place for you.
Overview
Navitas Systems is currently seeking a curious and technically strong Data Engineering Intern to join our BIS (Business Intelligence & Systems) team. The intern will help build and maintain the data pipelines, integrations, and warehouse infrastructure that power analytics, reporting, and decision-making across Navitas.
This is a hands-on opportunity to work directly with enterprise systems and contribute to the foundation of a modern data platform being built from the ground up. The intern will gain real-world experience in SQL development, ETL/ELT design, data modeling, and integration patterns in a fast-paced manufacturing environment.
Working hours will be scheduled around the intern's class schedule, but must be the same days and hours each week. The intern is expected to confirm their weekly schedule with their manager within two weeks of their start date.***Candidate must be lawful permanent resident or US Citizen and be able to work on site in Ann Arbor, MI
Responsibilities
  • Assist in designing, building, and maintaining ETL/ELT pipelines that move data from source systems (ERP, MES, CRM, SharePoint, Excel) into the central data warehouse.
  • Write, optimize, and troubleshoot SQL queries, stored procedures, and views against SQL Server databases.
  • Support the design and implementation of star schema models, data marts, and semantic layers that feed Power BI and downstream consumers.
  • Help connect and integrate enterprise systems (Expandable ERP, Ignition MES, Salesforce, Dayforce, Jira) into the central data platform.
  • Build and run validation checks to ensure accuracy, completeness, and consistency of data flowing through pipelines.
  • Contribute to scheduled jobs, refresh cadences, and automation efforts that reduce manual data movement and reporting overhead.
  • Assist in monitoring pipeline health, identifying failures, and resolving data issues in partnership with IT and BIS team members.
  • Document data sources, transformations, schemas, and lineage; contribute to data governance and metric standardization efforts.
  • Use Jira to manage work items and SharePoint to publish documentation; collaborate with BI developers, analysts, and business stakeholders.

Qualifications
Required
  • Currently pursuing a Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering, or a related field.
  • Must be a US Citizen or have a valid green card
  • Must be able to work on site at our Ann Arbor location
  • Strong working knowledge of SQL (joins, aggregations, subqueries, window functions) against relational databases.
  • Familiarity with SQL Server or comparable RDBMS (PostgreSQL, MySQL, Oracle).
  • Understanding of ETL/ELT concepts, data warehousing fundamentals, and relational data modeling.
  • Proficiency in at least one scripting language (Python preferred; PowerShell or similar acceptable).
  • Familiarity with Microsoft SharePoint for collaboration and documentation.
  • Familiarity with Jira (or similar work management tools) for tracking tasks and stories.
Preferred
  • Exposure to Power BI (semantic models, Power Query, DAX basics).
  • Familiarity with star schema / dimensional modeling (Kimball methodology).
  • Experience with Git and version control workflows.
  • Exposure to cloud data platforms (Azure, Fabric, OneLake, Databricks, Snowflake) or on-premises data lake/lakehouse concepts.
  • Familiarity with APIs, REST, JSON, and integration patterns between SaaS systems.
  • Exposure to MES, ERP, or manufacturing data environments.
  • Understanding of data governance, lineage, and metadata management concepts.
  • Coursework or projects involving data pipelines, distributed systems, or large-scale data processing.