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Infrastructure Engineer Intern Jobs in Detroit, MI

We are seeking a high-potential Project Engineer Intern with a passion for leadership to join our ... Systems Literacy: Understanding of infrastructure, hardware-software integration, and the ...

We are seeking a high-potential Project Engineer Intern with a passion for leadership to join our ... Systems Literacy: Understanding of infrastructure, hardware-software integration, and the ...

We support and advise our customers in Automotive, Manufacturing, Smart Infrastructure and beyond ... We are looking for a Mid-Level iOS Developer with at least 3 years of experience (can include ...

We support and advise our customers in Automotive, Manufacturing, Smart Infrastructure and beyond ... We are looking for a Mid-Level iOS Developer with at least 3 years of experience (can include ...

Android Developer Intern

Detroit, MI ยท On-site

$27.50 - $35/hr

We support and advise our customers in Automotive, Manufacturing, Smart Infrastructure and beyond ... We are looking for a Mid-Level Android Developer with at least 3 years of experience (including ...

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Infrastructure Engineer Intern information

See Detroit, MI salary details

$10

$19

$29

How much do infrastructure engineer intern jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for infrastructure 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 an infrastructure engineer intern do?

An Infrastructure Engineer Intern supports the design, implementation, and maintenance of an organization's IT infrastructure, which includes servers, networks, and cloud services. They often assist senior engineers with tasks like system monitoring, troubleshooting, and deploying updates. The role provides hands-on experience with various technologies and helps interns develop skills in areas such as network security, automation, and cloud computing. Infrastructure Engineer Interns typically work closely with IT teams to ensure systems run smoothly and securely.

What types of projects can an infrastructure engineer intern expect to work on during their internship?

As an Infrastructure Engineer Intern, you can expect to work on a variety of hands-on projects such as setting up development and production environments, automating deployment processes, and monitoring system performance. Interns often collaborate closely with experienced engineers to troubleshoot network or server issues and may contribute to documentation or infrastructure upgrades. These projects are designed to provide exposure to real-world challenges and help interns develop practical skills in cloud services, scripting, and system administration.

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

To thrive as an Infrastructure Engineer Intern, you need a solid understanding of networking concepts, operating systems, and basic scripting, often supported by coursework in computer science or related fields. Familiarity with tools such as Linux, Windows Server, virtualization platforms, and cloud services like AWS or Azure is typically expected. Strong analytical thinking, attention to detail, and effective communication help interns excel in troubleshooting and collaborating with IT teams. These skills and qualities are crucial for maintaining reliable systems and efficiently supporting infrastructure projects in a dynamic technology environment.

What is the difference between Infrastructure Engineer Intern vs Network Engineer Intern?

AspectInfrastructure Engineer InternNetwork Engineer Intern
Required CredentialsTypically pursuing or holding a degree in Computer Science, IT, or related fields; certifications like Cisco CCNA are commonSimilar educational background; often pursuing certifications like Cisco CCNA or CompTIA Network+
Work EnvironmentInvolves working on server infrastructure, cloud platforms, and system deploymentFocuses on designing, implementing, and maintaining network systems and hardware
Employer & Industry UsageUsed across tech companies, data centers, and cloud service providersCommon in telecommunications, enterprise IT, and networking service providers
Comparison Search IntentOften compared due to overlapping skills in infrastructure and networking

While both roles involve working with IT infrastructure, the Infrastructure Engineer Intern focuses on overall system and server infrastructure, whereas the Network Engineer Intern specializes in network hardware and connectivity. Both roles require similar foundational certifications and are found in similar industries, but their specific focus areas differ.

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

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

What are popular job titles related to Infrastructure Engineer Intern jobs in Detroit, MI?

For Infrastructure Engineer Intern jobs in Detroit, MI, the most frequently searched job titles are:

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

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

Infographic showing various Infrastructure 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.

$16.50 - $21.25/hr

Other

Posted 20 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.
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 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.