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Database Intern Jobs in Dearborn, MI (NOW HIRING)

Blinqlabs

Java Web Development Intern

Farmington Hills, MI · On-site +1

$19 - $24.75/hr

Blinqlabs team seeks a web application developer intern to work on full-stack design, development ... Full-stack solution design and development (database, APIs, services, front-end). * Ensuring ...

Blinqlabs

Java Web Development Intern

Farmington Hills, MI

$19 - $24.75/hr

Blinqlabs team seeks a web application developer intern to work on full-stack design, development ... Full-stack solution design and development (database, APIs, services, front-end). * Ensuring ...

LightGuide, Inc.

Marketing Intern

Wixom, MI · On-site

$14.50 - $19.25/hr

As a Marketing Intern, you will work closely with key members of our marketing team to support ... and marketing database cleanup. * Participate in team meetings and brainstorming sessions.

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How much do database intern jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for database intern in Dearborn, MI is $20.68, according to ZipRecruiter salary data. Most workers in this role earn between $15.91 and $22.55 per hour, depending on experience, location, and employer.

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

To thrive as a Database Intern, you need a foundational understanding of database concepts, basic SQL skills, and coursework or experience in computer science or information systems. Familiarity with database management systems like MySQL, Oracle, or SQL Server, and experience using tools like Microsoft Excel or data visualization software, are typically advantageous. Attention to detail, willingness to learn, and strong problem-solving and communication skills help a candidate stand out in this role. These skills are crucial for accurately managing data, supporting team projects, and developing the technical competency needed for future database roles.

What does a database intern do?

A database intern assists with managing and maintaining databases by performing tasks such as data entry, data cleaning, and supporting database administrators. They often work with tools like SQL and learn about data security, backup procedures, and database optimization in a professional environment.

What are some typical projects or tasks a database intern might work on during their internship?

As a Database Intern, you can expect to be involved in a variety of hands-on projects such as assisting with data cleansing, updating or migrating databases, and creating reports from large data sets. You'll often work closely with database administrators and data analysts to support data integrity and optimize database performance. Interns may also help with documenting database structures, learning to write basic SQL queries, and participating in team meetings to discuss best practices. This collaborative environment provides exposure to real-world database challenges and valuable experience for future roles in data management.
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Database Intern jobs near you
Infographic showing various Database Intern job openings in Dearborn, MI as of August 2026, with employment types broken down into 85% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $43,004 per year, or $20.7 per hour.

Data Engineering Intern

East Penn Manufacturing Company

Ann Arbor, MI

$16.75 - $21.50/hr

Full-time, Internship

Posted 14 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

31st 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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