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Control Engineer Intern Jobs in Farmington, MI (NOW HIRING)

Lead Substation Physical Engineer

Walled Lake, MI ยท On-site

$107.90 - $195.05/hr

  • Medical

  • Retirement

  • PTO

Engineer Intern ("EI" or "EIT") certification * Professional Engineer ("PE") License * Working knowledge of protection and control design * Experience with bus calculation * Experience with WinIGS or ...

New

Lead Substation Physical Engineer

Walled Lake, MI ยท Hybrid

$96K - $127K/yr

Engineer Intern ("EI" or "EIT") professional certification. * Professional Engineer ("PE") License. * Working knowledge of protection and control design * Experience with bus calculation * Experience ...

Lead Substation Physical Engineer

Walled Lake, MI ยท On-site

$96K - $127K/yr

Engineer Intern ("EI" or "EIT") professional certification. * Professional Engineer ("PE") License. * Working knowledge of protection and control design * Experience with bus calculation * Experience ...

Transmission Associate Project Engineer

Ann Arbor, MI ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Facilitate and adhere to WSP's QA/QC procedures. * Participate in industry conferences, both ... Exam completion, Engineer Intern (EI) or Engineer-in-Training (EIT) certification required

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Familiarity with Git or version control systems * Knowledge of object-oriented design patterns

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Familiarity with Git or version control systems * Knowledge of object-oriented design patterns

Showing results 21-40

Control Engineer Intern information

See Farmington, MI salary details

$10

$19

$29

How much do control engineer intern jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for control engineer intern in Farmington, MI is $19.01, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $20.58 per hour, depending on experience, location, and employer.

What does a control engineer intern do?

A Control Engineer Intern assists in designing, implementing, and testing control systems that help machines and processes operate efficiently and safely. They typically work under the supervision of experienced control engineers, supporting tasks such as programming PLCs (Programmable Logic Controllers), developing automation solutions, and troubleshooting control equipment. Interns may also help with data analysis, documentation, and collaboration with other engineering teams to optimize system performance. This role provides hands-on experience in industrial automation and control engineering.

What types of projects and responsibilities can a control engineer intern expect to work on during their internship?

As a Control Engineer Intern, you can expect to assist in designing, testing, and troubleshooting control systems for automated equipment or processes. Interns commonly contribute to project tasks such as PLC programming, developing and simulating control algorithms, and supporting system integration under the guidance of senior engineers. You'll likely work closely with multidisciplinary teams, including mechanical, electrical, and software engineers, gaining exposure to real-world industrial automation challenges. This hands-on experience is valuable for building technical skills and understanding how control systems are implemented in practice.

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

To thrive as a Control Engineer Intern, you need a solid understanding of control systems theory, programming basics (such as MATLAB or Python), and coursework in electrical or mechanical engineering. Familiarity with PLCs, SCADA systems, and simulation software is common, and some internships may look for coursework certifications or lab experience. Strong analytical thinking, attention to detail, and effective communication skills help interns collaborate on projects and troubleshoot system issues. These qualifications are essential for contributing to complex automation projects and ensuring reliable, efficient system performance.

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

AspectControl Engineer InternControl Engineer
CredentialsTypically pursuing or recently completed a degree in electrical, mechanical, or control engineeringBachelor's or master's degree in engineering, with relevant certifications often preferred
Work EnvironmentInternship setting, often in manufacturing, automation, or industrial facilitiesFull-time professional role in similar environments with increased responsibilities
ResponsibilitiesAssisting with control system design, testing, and troubleshooting under supervisionDesigning, implementing, and maintaining control systems independently or as part of a team

The main difference between a Control Engineer Intern and a Control Engineer is experience level and responsibility. Interns are in learning roles, assisting with tasks under supervision, while Control Engineers are fully responsible for designing and managing control systems in professional settings.

What cities near Farmington, MI are hiring for Control Engineer Intern jobs?

Cities near Farmington, MI with the most Control Engineer Intern job openings:

$16.75 - $21.50/hr

Other

Posted 23 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.