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Penn Engineering Jobs in Michigan (NOW HIRING)

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Penn Engineering information

See Michigan salary details

$40.5K

$128K

$151.7K

How much do penn engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for penn engineering in Michigan is $128,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $150,800.00 per year, depending on experience, location, and employer.

What is Penn Engineering?

Penn Engineering refers to the School of Engineering and Applied Science at the University of Pennsylvania. It is a prestigious institution that offers undergraduate, graduate, and doctoral programs in various fields of engineering, such as computer science, bioengineering, electrical engineering, and mechanical engineering. The school is known for its interdisciplinary approach, cutting-edge research, and strong industry partnerships. Students benefit from hands-on learning opportunities, state-of-the-art facilities, and a vibrant academic community.

What are the key skills and qualifications needed to thrive as a Penn Engineering graduate, and why are they important?

To excel as a Penn Engineering graduate, you need a strong background in mathematics, science, and engineering principles, supported by a relevant bachelor’s degree. Familiarity with technical tools such as CAD software, programming languages, and laboratory equipment is typically required. Problem-solving ability, teamwork, and effective communication are essential soft skills for success. These skills and qualifications are crucial for tackling complex engineering challenges and contributing to innovative solutions in diverse technical fields.

What types of projects and collaborations can engineers expect to work on within Penn Engineering?

Engineers at Penn Engineering often participate in interdisciplinary projects, collaborating closely with faculty, researchers, and students from various departments. These projects may involve cutting-edge research in robotics, nanotechnology, data science, or bioengineering, often with real-world applications and industry partnerships. Teamwork is highly encouraged, and engineers frequently engage in design challenges, prototyping, and technical presentations. This collaborative environment not only fosters innovation but also provides opportunities to build a diverse professional network.

What is the difference between Penn Engineering vs Mechanical Engineer?

CriteriaPenn EngineeringMechanical Engineer
Required CredentialsTypically requires a degree in engineering, often with specialization in electrical, computer, or systems engineeringRequires a bachelor's degree in mechanical engineering or related field
Work EnvironmentResearch labs, design offices, and manufacturing facilities within university or industry settingsManufacturing plants, design offices, and R&D labs
Employer & Industry UsageUsed by universities, research institutions, and tech companiesUsed by manufacturing firms, aerospace, automotive, and industrial companies

Penn Engineering focuses on electrical, computer, and systems engineering within academic and research environments, while Mechanical Engineers primarily work on designing, analyzing, and manufacturing mechanical systems in industry settings. Both roles require engineering degrees but differ in specialization and work context.

What are popular job titles related to Penn Engineering jobs in Michigan?

For Penn Engineering jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Penn Engineering jobs in Michigan look for?

The top searched job categories for Penn Engineering jobs in Michigan are:

What cities in Michigan are hiring for Penn Engineering jobs?

Cities in Michigan with the most Penn Engineering job openings:

Infographic showing various Penn Engineering job openings in Michigan as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $128,009 per year, or $61.5 per hour.

$16.75 - $21.50/hr

Full-time, Internship

Posted 19 days ago


Job description

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.


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


  • 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.

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.