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Data Engineering Internship Jobs in Milwaukee, WI

Kion Group AG

AI Internships

Wauwatosa, WI · On-site

$21 - $25/hr

We offer: Join the Future Talent Program Internship at Dematic and ignite your career with ... including engineering, data engineering, IT, project management, business analysis, and ...

Kiongroup

AI Internships

Wauwatosa, WI · On-site

$21 - $25/hr

We offer: Join the Future Talent Program Internship at Dematic and ignite your career with ... including engineering, data engineering, IT, project management, business analysis, and ...

Kiongroup

AI Internships

Wauwatosa, WI

$21 - $25/hr

We offer: Join the Future Talent Program Internship at Dematic and ignite your career with ... including engineering, data engineering, IT, project management, business analysis, and ...

Hammes Company

Business Analyst

Milwaukee, WI · On-site

... data engineering, business analytics, management information systems, or a related field. * At least one year of relevant experience preferred; internships, academic projects, capstone projects ...

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All JobsData Engineering JobsData Engineering Internship JobsData Engineering Internship Jobs in Milwaukee, WI

Data Engineering Internship information

See Milwaukee, WI salary details

$10

$19

$29

How much do data engineering internship jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for data engineering internship in Milwaukee, WI is $19.03, according to ZipRecruiter salary data. Most workers in this role earn between $15.87 and $20.62 per hour, depending on experience, location, and employer.

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 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?

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 are the most commonly searched types of Data Engineering jobs in Milwaukee, WI?

The most popular types of Data Engineering jobs in Milwaukee, WI are:

What are popular job titles related to Data Engineering Internship jobs in Milwaukee, WI?

For Data Engineering Internship jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Data Engineering Internship jobs in Milwaukee, WI look for?

The top searched job categories for Data Engineering Internship jobs in Milwaukee, WI are:

Data Engineering Internship jobs near you
Infographic showing various Data Engineering Internship job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $39,581 per year, or $19 per hour.

Data Engineering Intern - Platform & Product

Artisan Partners

Milwaukee, WI • Hybrid

$16.50 - $21.50/hr

Internship

Posted 16 days ago

Job description

We are seeking a curious and motivated Data Engineering Intern to join our growing Data Engineering function. In this hands-on role, you'll work alongside experienced engineers, architects, and analysts to build and test real data pipelines on our Snowflake-based cloud data platform. You'll gain experience across the data engineering lifecycle, from sourcing and transforming data to testing, documenting, and delivering trusted datasets that support analytics and AI across the firm.

The ideal candidate is a current undergraduate student with foundational programming and database skills who is eager to learn how enterprise data platforms are designed, built, and operated. Mentorship, code review, and regular feedback are built into the internship.

Location: Milwaukee, WI

Responsibilities

The candidate is expected to:

  • Help build and test data pipelines that source, transform, and deliver datasets into Snowflake
  • Write and tune SQL to explore data, validate results, and support data quality checks
  • Contribute to platform tooling such as AI semantic layers, validation utilities, and reusable pipeline components
  • Leverage AI tooling to create user experiences in our data platform
  • Participate in the team's regular routines, including sprint planning, stand-ups, and code reviews
  • Document what you build, including pipeline logic, data definitions, and how-to guides for the team
  • Scope and complete an end-of-internship project, and present the results to the Data Services team
Qualifications

The successful candidate is currently pursuing an undergraduate degree with demonstrated academic achievement. Additionally, the ideal candidate will possess:

  • Foundational SQL skills - comfortable writing queries with joins, filters, and aggregations
  • Some programming experience in Python or a similar language; coursework, personal projects, and prior internships all count
  • Familiarity with basic data concepts such as tables, relationships, and common file formats (CSV, JSON); exposure to cloud platforms, Git, or dbt is a plus but not expected
  • Interest in financial or investment data (trading, pricing, benchmarks) is a plus; industry experience is not required
  • Clear written and verbal communication, a collaborative attitude, and a willingness to ask questions

Privacy Notice for California Applicants

Artisan Partners Limited Partnership is an equal opportunity employer. Artisan Partners does not discriminate on the basis of race, religion, color, national origin, gender, age, disability, marital status, sexual orientation or any other characteristic protected under applicable law. All employment decisions are made on the basis of qualifications, merit and business need.

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