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Validation Engineer Intern Jobs in Detroit, MI (NOW HIRING)

Year-Round Engineering Intern

Auburn Hills, MI · On-site

$15.75 - $20.50/hr

Our Engineering Department is looking for an Engineering Intern for its Auburn Hills, MI location ... Support product validation The ideal candidate will have/be: * Working towards degree in ...

Year-Round Engineering Intern

Auburn Hills, MI · On-site

$15.75 - $20.50/hr

Our Engineering Department is looking for an Engineering Intern for its Auburn Hills, MI location ... product validation The ideal candidate will have/be: Working towards degree in Engineering ...

Tariff Recovery Intern

Northville, MI · On-site

$16 - $20.75/hr

Support tariff recovery initiatives by collecting, organizing, and validating customer and pricing ... Your Profile as Tariff Recovery Intern: * Enrolled full-time at an accredited university pursuing a ...

... engineering datasets to generate meaningful insights. * Create dashboards, visualizations, and reporting tools using Power BI and other technologies to support product validation and decision-making.

... engineering datasets to generate meaningful insights. * Create dashboards, visualizations, and reporting tools using Power BI and other technologies to support product validation and decision-making.

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Validation Engineer Intern information

See Detroit, MI salary details

$10

$19

$29

How much do validation engineer intern jobs pay per hour?

As of Aug 13, 2026, the average hourly pay for validation engineer intern in Detroit, MI is $19.12, according to ZipRecruiter salary data. Most workers in this role earn between $15.96 and $20.72 per hour, depending on experience, location, and employer.

What does a validation engineer intern do?

A Validation Engineer Intern assists in ensuring that products, processes, or systems meet specified requirements and function as intended. Their responsibilities often include executing test protocols, collecting and analyzing data, documenting results, and supporting the development of validation documentation. Interns work under the supervision of experienced engineers and may be involved in activities like equipment qualification, process validation, and compliance checks, especially in regulated industries such as pharmaceuticals or manufacturing. This role provides practical experience with industry standards and regulatory guidelines.

What are some typical projects or responsibilities a validation engineer intern can expect during their internship?

As a Validation Engineer Intern, you can expect to participate in tasks such as developing and executing test protocols, collecting and analyzing test data, and documenting results to ensure systems, products, or processes meet regulatory and quality standards. Interns often work closely with senior engineers and cross-functional teams, supporting ongoing validation projects and troubleshooting issues as they arise. This hands-on experience helps you build practical skills in validation techniques, gain exposure to industry regulations, and better understand the workflow of a quality assurance or engineering team.

What is the difference between Validation Engineer Intern vs Validation Engineer?

AspectValidation Engineer InternValidation Engineer
Required CredentialsTypically pursuing or recently completed a degree in engineering, life sciences, or related fieldsBachelor's or master's degree in engineering, life sciences, or related disciplines; professional certifications are common
Work EnvironmentInternship setting, often in manufacturing, pharmaceutical, or medical device industriesFull-time role in similar industries, with increased responsibilities
Employer & Industry UsageUsed in pharmaceutical, biotech, and medical device companies for training and entry-level rolesFull professional roles in the same industries, focusing on validation processes

The Validation Engineer Intern is an entry-level position designed for students or recent graduates gaining practical experience. In contrast, a Validation Engineer is a full-time professional responsible for executing validation protocols, ensuring compliance, and maintaining quality standards. Interns typically work under supervision, while Validation Engineers operate independently with more complex tasks.

What are the key skills and qualifications needed to thrive as a validation engineer intern, and why are they important?

To excel as a Validation Engineer Intern, you typically need a background in engineering or a related technical field, along with a solid understanding of validation principles and quality standards. Familiarity with data analysis tools, validation protocols (IQ/OQ/PQ), and industry-specific software such as statistical analysis programs is often required. Strong attention to detail, analytical thinking, and effective communication skills help interns collaborate with teams and document results accurately. These competencies are crucial to ensure products and processes meet regulatory requirements and perform reliably in real-world applications.

What are the most commonly searched types of Validation Engineer jobs in Detroit, MI?

The most popular types of Validation Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Validation Engineer Intern jobs?

Cities near Detroit, MI with the most Validation Engineer Intern job openings:

Infographic showing various Validation Engineer Intern job openings in Detroit, MI as of August 2026, with employment types broken down into 90% Full Time, 4% Part Time, 5% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $39,771 per year, or $19.1 per hour.

$16.75 - $21.50/hr

Full-time, Internship

Posted 17 days ago


East Penn Manufacturing rating

8.5

Company rating: 8.5 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

33rd of 538 rated manufacturers


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.
QualificationsRequired
  • 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.
Employment Type: OTHER

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