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

Leggett & Platt

Systems Engineer Intern

Detroit, MI · On-site

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Support test planning, execution, and data analysis for system-level and component-level validation.

Leggett & Platt

Systems Engineer Intern

Detroit, MI

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Support test planning, execution, and data analysis for system‑level and component‑level ...

Leggett & Platt

Systems Engineer Intern

Detroit, MI

$16.50 - $21.50/hr

As a Systems Engineer Intern, you'll work alongside experienced engineers to support the ... Support test planning, execution, and data analysis for systemlevel and componentlevel validation.

Marquardt Group

System Engineering Intern

Rochester Hills, MI · On-site

$15.50 - $20/hr

System Engineering Intern We are currently in search of a System Engineering Intern to join our ... This position offers hands-on experience with vehicleelectronics, test equipment, data analysis ...

fng

Engineering Intern

Troy, MI

$16 - $20.50/hr

... data collection and analysis, developing standardized work instructions, line balancing, process ... Work with respective engineer to advance his/her skill sets in preparation for schooling ...

fng

Engineering Intern

Troy, MI · On-site

$16 - $20.50/hr

... data collection and analysis, developing standardized work instructions, line balancing, process ... Work with respective engineer to advance his/her skill sets in preparation for schooling ...

fng

Engineering Intern

Troy, MI

$16 - $20.50/hr

... data collection and analysis, developing standardized work instructions, line balancing, process ... Work with respective engineer to advance his/her skill sets in preparation for schooling ...

fng

Engineering Intern

Troy, MI

$16 - $20.50/hr

... data collection and analysis, developing standardized work instructions, line balancing, process ... Work with respective engineer to advance his/her skill sets in preparation for schooling ...

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Data Engineer Intern information

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How much do data engineer intern jobs pay per hour?

As of Aug 29, 2026, the average hourly pay for data engineer intern in Detroit, MI is $25.16, according to ZipRecruiter salary data. Most workers in this role earn between $20.48 and $28.56 per hour, depending on experience, location, and employer.

What does a Data Engineer Intern do?

A Data Engineer Intern supports the design, development, and maintenance of data pipelines and databases within an organization. They assist in collecting, cleaning, and organizing raw data, ensuring it is accessible and usable for data analysts and scientists. Interns may work with various tools and programming languages such as SQL, Python, and cloud platforms to help manage large datasets. Their responsibilities often include troubleshooting data issues, optimizing data workflows, and learning best practices in data engineering. This role provides hands-on experience in data infrastructure and is an excellent starting point for a career in data engineering.

What are the key skills and qualifications needed to thrive as a Data Engineer Intern?

To thrive as a Data Engineer Intern, you typically need a solid understanding of programming languages like Python or Java, introductory experience with data structures, and familiarity with databases, often supported by coursework in computer science or related fields. Familiarity with tools such as SQL, cloud platforms (e.g., AWS or Azure), and data pipeline frameworks like Apache Spark or Airflow is common and highly valued. Strong problem-solving abilities, attention to detail, and effective communication help interns collaborate and learn quickly in team environments. These skills and traits are crucial for building, maintaining, and optimizing data systems that support reliable analysis and business insights.

What is the difference between Data Engineer Intern vs Data Analyst Intern?

AspectData Engineer InternData Analyst Intern
Required SkillsSQL, Python, ETL, data pipeline developmentExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting tools
Industry UsageTech, finance, healthcareRetail, marketing, finance

Data Engineer Interns focus on building and maintaining data pipelines and infrastructure, requiring programming and database skills. Data Analyst Interns analyze data to generate insights, emphasizing visualization and reporting. Both roles are common in data-driven industries but serve different functions within organizations.

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

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

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

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

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

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

Data Engineer Intern jobs near you

Data Engineering Intern

Ann Arbor, MI • On-site

East Penn Manufacturing Company
Manufacturing • 10K+ employees

8.5

Company rating: 8.5 out of 10

Based on 83 frontline employees who took The Breakroom Quiz

32nd of 545 rated manufacturers

People enjoy working here

Good employer

Paid breaks

Learn more about East Penn Manufacturing Companyexternal

$16.75 - $21.50/hr

Other

This job post has expired today. Applications are no longer accepted.

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.

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