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Data Engineering Intern Jobs in Racine, WI (NOW HIRING)

City of Wauwatosa

Health Department Intern

Milwaukee, WI

$14.75 - $19.25/hr

... data: Assist with data collection and analysis for program evaluation and community health ... programming, including blood pressure screenings, falls prevention, and sexual health Provide ...

GovernmentJobs.com

Health Department Intern

Milwaukee, WI · On-site

$14.75 - $19.25/hr

Help compile data for annual reports, grant reports, or performance measures * Review evidence ... programming, including blood pressure screenings, falls prevention, and sexual health * Provide ...

City of Wauwatosa

Health Department Intern

Milwaukee, WI · On-site

$14.75 - $19.25/hr

Help compile data for annual reports, grant reports, or performance measures * Review evidence ... programming, including blood pressure screenings, falls prevention, and sexual health * Provide ...

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All JobsData Engineering Intern JobsData Engineering Intern Jobs in Racine, WI

Data Engineering Intern information

See Racine, WI salary details

$10

$18

$27

How much do data engineering intern jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data engineering intern in Racine, WI is $18.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.10 and $19.62 per hour, depending on experience, location, and employer.

What types of projects and technologies can a data engineering intern expect to work with during their internship?

As a Data Engineering Intern, you’ll typically work on projects involving data pipeline development, data cleaning, and integration of data from various sources. You can expect to use technologies like SQL, Python, and tools such as Apache Spark, Hadoop, or cloud platforms like AWS or Google Cloud. Interns often collaborate closely with data engineers, analysts, and sometimes data scientists to ensure data is accessible, reliable, and well-organized for analysis. This hands-on experience helps you build foundational skills and understand real-world data workflows within a collaborative team environment.

What does a data engineering intern do?

A Data Engineering Intern assists in building and maintaining the systems and infrastructure that allow organizations to collect, store, and analyze large volumes of data. Their responsibilities often include cleaning and organizing raw data, developing data pipelines, and supporting the work of data engineers and data scientists. Interns may also work with tools like SQL, Python, and cloud platforms to automate data workflows. This role provides hands-on experience in managing data processes and understanding the fundamentals of data engineering in a real-world environment.

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

AspectData Engineering InternData Analyst Intern
Required SkillsBasic SQL, programming (Python, Java), understanding of data pipelinesData visualization, SQL, statistical analysis
Work EnvironmentData engineering teams, cloud platforms, data warehousesBusiness intelligence teams, reporting tools, dashboards
Industry UsageTech, finance, healthcare, any data-driven industryMarketing, finance, retail, business sectors

While both roles involve working with data, a Data Engineering Intern focuses on building and maintaining data pipelines and infrastructure, whereas a Data Analyst Intern analyzes data to generate insights and reports. The roles share some technical skills like SQL but differ in their core responsibilities and work environments.

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 foundational knowledge in programming (especially Python or Java), databases, and data structures, often obtained through coursework in computer science or related fields. Familiarity with SQL, cloud platforms (like AWS or Azure), and data pipeline tools such as Apache Spark or Airflow is typically required. Strong problem-solving skills, attention to detail, and effective communication set exceptional interns apart. These skills and qualities are crucial for efficiently handling data workflows, collaborating with teams, and contributing to high-quality data solutions.
What cities near Racine, WI are hiring for Data Engineering Intern jobs? Cities near Racine, WI with the most Data Engineering Intern job openings:
Data Engineering Intern jobs near you
Infographic showing various Data Engineering Intern job openings in Racine, WI as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $37,670 per year, or $18.1 per hour.

Health Information Management Intern

Froedtert South, Inc.

Kenosha, WI • On-site

$14.75 - $19.50/hr

Temporary

Re-posted 26 days ago

Froedtert South rating

6.9

Company rating: 6.9 out of 10

Based on 39 frontline employees who took The Breakroom Quiz

452nd of 887 rated healthcare providers

Job description

Qualifications:
The qualified candidate will have strong computer skills, be a proficiency user of MS Word and Excel, have outstanding attention to detail, be an analytical thinker, possess strong oral and written communication skills, and be self-driven.
If candidate is a college student or graduate, those with STEM (science, technology, engineering, mathematics) or accounting focus will likely be best qualified.
The ideal candidate will additionally have an Associate’s Degree in Health Information Technology and will have completed a Health Information Management clinical experience at an acute care hospital, be RHIT eligible, have knowledge of medical terminology, understand HIPAA, have the ability to navigate through state and federal law.
Job Duties:
The intern will focus on Health Information Management special projects such as updating the logo on all of our in-house forms, formatting OnBase, 3M, and Epic testing and training materials, and assisting with data conversion verification.
 

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