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Data Engineer Internship Jobs in Middleton, WI (NOW HIRING)

S TRC is seeking highly motivated and diverse Civil/Geotechnical Engineering Interns out of our ... Perform data entry, data management, data evaluation, and data presentation. * Perform other ...

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Data Engineer Internship information

See Middleton, WI salary details

$13

$25

$38

How much do data engineer internship jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data engineer internship in Middleton, WI is $25.51, according to ZipRecruiter salary data. Most workers in this role earn between $20.77 and $28.94 per hour, depending on experience, location, and employer.

What is a data engineer internship?

A Data Engineer Internship is a temporary, entry-level role where interns gain hands-on experience in data infrastructure, ETL pipelines, and database management. Interns typically work with large datasets, assist in building data models, and collaborate with data scientists and analysts to ensure efficient data processing. They learn tools like SQL, Python, and cloud platforms while improving data quality and automation processes. This role provides valuable industry experience and prepares interns for full-time data engineering positions.

What types of projects or tasks can I expect to work on during a data engineer internship?

As a Data Engineer Intern, you can expect to assist with building and maintaining data pipelines, cleaning and transforming datasets, and supporting the integration of new data sources. You may also help optimize database performance, troubleshoot data quality issues, and collaborate with data scientists or analysts to ensure data accessibility. Interns often work on real-world projects that offer hands-on experience with tools and technologies common in the industry. This exposure not only builds your technical skills but also provides valuable insights into how data engineering supports business decision-making and analytics.

What are the key skills and qualifications needed to thrive in a data engineer internship, and why are they important?

To thrive as a Data Engineer Intern, you need a solid background in programming (especially Python or Java), SQL, and basic data management concepts, often gained through coursework in computer science, data science, or related fields. Experience with tools like SQL databases, ETL pipelines, and cloud platforms (such as AWS or Azure), as well as familiarity with big data frameworks like Hadoop or Spark, is highly valuable. Strong analytical thinking, attention to detail, and the ability to communicate technical information clearly help interns collaborate effectively within diverse teams. These skills are vital for supporting data infrastructure development, ensuring data quality, and contributing to impactful data-driven solutions.

What does a data engineer intern do?

A data engineer intern assists in designing, building, and maintaining data pipelines and infrastructure to support data analysis and storage. They often work with tools like SQL, Python, and cloud platforms, gaining experience in data processing, database management, and data warehousing under supervision.

What are the most commonly searched types of Data Engineer jobs in Middleton, WI?

The most popular types of Data Engineer jobs in Middleton, WI are:

What job categories do people searching Data Engineer Internship jobs in Middleton, WI look for?

The top searched job categories for Data Engineer Internship jobs in Middleton, WI are:

What cities near Middleton, WI are hiring for Data Engineer Internship jobs?

Cities near Middleton, WI with the most Data Engineer Internship job openings:

Lead Data Engineer

Madison, WI • On-site

American Family Mutual Insurance Company Si
Insurance Services • 5 - 10K employees

$131K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


American Family Insurance rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz


Job description

This position collects, stores, processes and builds applications within our big data platform. Responsible for integrating these applications with the architecture used across the organization.

Position Compensation Range:

$131,000.00 - $220,000.00

Pay Rate Type:

Salary

Compensation may vary based on the job level and your geographic work location. Relocation support is offered for eligible candidates.

This position has approval to transfer a valid H1 visa.

Primary Accountabilities

  • Leads an engineering team to meet project deadlines and priorities.

  • Supervises assigned data engineering team members & activities.

  • Ensures the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle.

  • Documents critical workflows and operational support aspects of team's responsibilities

  • Develops deep understanding of data sources, granularity, availability, and limitations.

  • Provides proactive technical oversight and advice to application architecture and development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions.

  • Creates maintainable, scalable code to load and manipulate data in the data warehouse.

  • Facilitates communication upward and across project teams and business stakeholders.


Specialized Knowledge & Skills Requirements

  • Demonstrated experience providing customer-driven solutions, support or service.

  • Must have GCP experience for this positon.

  • In-depth knowledge of SQL or NoSQL and experience using a variety of data stores (e.g. RDBMS, analytic database, scalable document stores)

  • Extensive hands-on Python programming experience, with an emphasis towards building ETL workflows and data-driven solutions.

  • Able to employ design patterns and generalize code to address common use cases.

  • Capable of authoring robust, high quality, reusable code and contributing to the division's inventory of libraries.

  • Expertise in big data batch computing tools (e.g. Hadoop or Spark), with demonstrated experience developing distributed data processing solutions.

  • Knowledge of open source machine learning toolkits, such as sklearn, SparkML, or H2O.

  • Solid data understanding and business acumen in the data rich industries like insurance or financial

  • Applied knowledge of data modeling principles (e.g. dimensional modeling and star schemas).

  • Strong understanding of database internals, such as indexes, binary logging, and transactions.

  • Experience using tools for infrastructure-as-code (e.g. Docker, CloudFormation, Terraform, etc.)

  • Experience with software engineering tools and workflows (i.e. Jenkins, CI/CD, git).

  • Practical experience authoring and consuming web services.


Licenses:
Not Applicable.
Travel Requirements
Up to 10%.
Physical Requirements
Work that primarily involves sitting/standing.
Working Conditions
Not Applicable.

Additional Information
  • To ensure a strong start, all employees participate in our New Employee Orientation during their first week. This experience is held in person at our Madison, WI Headquarters or one of our AmFam core locations to help you connect with our mission, meet key team members and build relationships that support your growth. At times, sessions may be delivered virtually based on scheduling and availability.
  • Offer to selected candidate will be made contingent on the results of applicable background checks
  • Offer to selected candidate is contingent on signing a non-disclosure agreement for proprietary information, trade secrets, and inventions
  • Sponsorship will not be considered for this position unless specified in the posting

We provide benefits that support your physical, emotional, and financial wellbeing. You will have access to comprehensive medical, dental, vision and wellbeing benefits that enable you to take care of your health. We also offer a competitive 401(k) contribution, a pension plan, an annual incentive, 9 paid holidays and a paid time off program (23 days accrued annually for full-time employees). In addition, our student loan repayment program and paid-family leave are available to support our employees and their families. Interns and contingent workers are not eligible for American Family Insurance Group benefits.

We are an equal opportunity employer. It is our policy to comply with all applicable federal, state and local laws pertaining to non-discrimination, non-harassment and equal opportunity. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.

American Family Insurance is committed to the full inclusion of all qualified individuals. If a reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please email AskHR@AmFam.com to request a reasonable accommodation.

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