ZipRecruiter

Log In

1

Data Engineering Internship Jobs in Michigan (NOW HIRING)

HTC Global Services

Data Engineer

Auburn Hills, MI · On-site

$108K - $130K/yr

The ideal candidate will bring internship or early professional experience in data engineering, business analytics, cloud data platforms, and modern ELT/ETL practices. This role will work closely ...

Recar

Software/Data Rotational Program

Troy, MI

$108K - $130K/yr

Prior engineering internship or co-op experience within automotive or related technical environments preferred. * Undeniable passion in automotive engineering and emerging vehicle technologies.

Slate Auto

Software/Data Rotational Program

Troy, MI · On-site

$108K - $130K/yr

Prior engineering internship or co-op experience within automotive or related technical environments preferred. * Undeniable passion in automotive engineering and emerging vehicle technologies.

Corning

... data engineering, software engineering, or relevant hands-on academic, internship, personal, or professional projects. - Strong Python foundation and hands-on experience with at least one machine ...

New

Corning

$104K - $142K/yr

... work, internships, bootcamps, or self‑directed learning. 3+ years of experience in AI/ML, data engineering, or applied analytics in a production environment. Hands‑on experience building ...

next page

Showing results 1-20

All JobsData Engineering JobsData Engineering Internship JobsData Engineering Internship Jobs in Michigan

Data Engineering Internship information

See Michigan salary details

$9

$16

$25

How much do data engineering internship jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for data engineering internship in Michigan is $16.83, according to ZipRecruiter salary data. Most workers in this role earn between $14.04 and $18.22 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on during a Data Engineering Internship?

As a Data Engineering Intern, you can expect to work on a variety of tasks such as building data pipelines, cleaning and transforming raw data, and assisting in the integration of data from multiple sources. You may also support the team in optimizing database performance and ensuring data quality. Interns often collaborate with data scientists, analysts, and software engineers, gaining exposure to different tools and technologies like SQL, Python, and cloud platforms. These experiences provide a strong foundation for a future career in data engineering.

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

To thrive as a Data Engineering Intern, you need a solid grasp of programming (especially Python or Java), databases (SQL/NoSQL), and data structures, often demonstrated by coursework or relevant projects. Familiarity with data processing tools like Apache Spark, ETL pipelines, and cloud platforms such as AWS or Google Cloud is highly beneficial. Strong problem-solving abilities, attention to detail, and effective communication help interns excel in collaborative and fast-paced environments. These skills are crucial for building reliable data pipelines and supporting data-driven decision-making within organizations.

What is the difference between Data Engineering Internship vs Data Analyst Internship?

AspectData Engineering InternshipData Analyst Internship
Required SkillsSQL, Python, ETL, cloud platformsExcel, SQL, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud infrastructureData reporting, dashboards, business insights
Industry UsageTech, finance, healthcare, e-commerceRetail, marketing, finance, consulting

Data Engineering Internships focus on building and maintaining data pipelines and infrastructure, requiring technical skills like SQL and Python. Data Analyst Internships emphasize analyzing data to generate insights, often using Excel and visualization tools. Both roles are common in tech-driven industries but serve different functions within data teams.

What is a Data Engineering Internship?

A Data Engineering Internship is a temporary position designed for students or recent graduates to gain practical experience in building, managing, and optimizing data pipelines and infrastructure. Interns typically work alongside professional data engineers to learn about data extraction, transformation, and loading (ETL) processes, database management, and data warehousing. This role provides hands-on exposure to tools like SQL, Python, and cloud platforms, helping interns develop essential technical skills for a career in data engineering. Interns may also assist in improving data quality and supporting analytics initiatives within a company.
What are the most commonly searched types of Data Engineering jobs in Michigan? The most popular types of Data Engineering jobs in Michigan are:
What are popular job titles related to Data Engineering Internship jobs in Michigan? For Data Engineering Internship jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Data Engineering Internship jobs in Michigan look for? The top searched job categories for Data Engineering Internship jobs in Michigan are:
What cities in Michigan are hiring for Data Engineering Internship jobs? Cities in Michigan with the most Data Engineering Internship job openings:
Data Engineering Internship jobs near you
Data Engineer

Data Engineer

HTC Global Services

Auburn Hills, MI • On-site

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago

Job description

Associate Data Engineer - Voice of the Customer Analytics
Position Overview
The Associate Data Engineer will support data engineering, analytics, and reporting initiatives for Voice of the Customer and related business programs. This role is designed for an early-career data professional with strong hands-on experience building data pipelines, supporting data quality, working with cloud-based data platforms, and partnering with analytics and business teams to deliver reliable data for reporting, dashboards, and business insights.
The ideal candidate will bring internship or early professional experience in data engineering, business analytics, cloud data platforms, and modern ELT/ETL practices. This role will work closely with business stakeholders, analytics teams, and technical teams to help collect, transform, validate, document, and deliver data that supports customer experience, operational reporting, and decision-making.
Key Responsibilities
  • Support development and maintenance of data pipelines used for customer insights, reporting, analytics, and business intelligence.
  • Assist with data ingestion, transformation, validation, and refresh processes across cloud and data warehouse platforms.
  • Build and maintain SQL-based data models, data transformations, and reporting-ready datasets.
  • Support data quality checks, testing, reconciliation, and issue resolution to improve trust in downstream reporting.
  • Partner with analytics, operations, and business stakeholders to understand data needs and translate them into technical requirements.
  • Help document data flows, data lineage, data contracts, transformation logic, and reporting dependencies.
  • Support dashboards, reporting datasets, and analytics outputs used by business and leadership teams.
  • Assist with automation of manual data refresh, validation, and reporting processes.
  • Use version control and development best practices to support repeatable and reliable data delivery.
  • Collaborate with cross-functional teams to troubleshoot data issues, improve pipeline reliability, and support timely delivery of analytics solutions.
  • Continue building technical depth across cloud platforms, data engineering tools, business analytics, and customer data use cases.

Required Qualifications
  • Bachelor's degree in engineering, analytics, computer science, information systems, data science, business analytics, or a related field.
  • Internship, academic project, or professional experience in data engineering, analytics engineering, business analytics, or data pipeline development.
  • Strong SQL skills with experience querying, transforming, validating, and analyzing data.
  • Experience with Python or PySpark for data processing, automation, testing, or analytics.
  • Exposure to cloud data platforms or cloud services such as AWS, GCP, Snowflake, BigQuery, Databricks, or similar.
  • Experience or academic exposure to ETL/ELT pipelines, data warehousing, data modeling, or reporting datasets.
  • Understanding of data quality, testing, documentation, and data validation practices.
  • Ability to work with business and technical teams to gather requirements and support reporting or analytics needs.
  • Strong analytical, problem-solving, communication, and documentation skills.
  • Ability to learn quickly, take ownership, and work in a collaborative team environment.

Preferred Qualifications
  • Experience with Snowflake, dbt, AWS Glue, S3, Airflow, Terraform, Git, or similar modern data engineering tools.
  • Exposure to customer analytics, Voice of the Customer, survey data, customer feedback, product quality, or business operations data.
  • Experience supporting dashboards or reporting solutions using Tableau, Power BI, Superset, or similar BI tools.
  • Experience with data contracts, data lineage, data quality checks, or automated validation.
  • Exposure to CI/CD or version-controlled data pipeline development.
  • Cloud certification such as AWS Solutions Architect Associate, Google Associate Cloud Engineer, or similar.
  • Experience with machine learning pipelines, predictive analytics, NLP, or customer sentiment/defect analysis is a plus.

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
#LI-Onsite #LI-CP1

Apply