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Internship Startup Data Engineer Jobs in Wisconsin

Evonik

Summer Internship

Janesville, WI

$21 - $27/hr

Process Engineering Intern: Contributed to the startup activities of a new chemical process ... Evonik's Internship Program, click here: There is no better time than right now to build your ...

Evonik

Summer Internship

Janesville, WI · On-site

$21 - $27/hr

Process Engineering Intern : Contributed to the startup activities of a new chemical process ... Evonik's Internship Program, click here: There is no better time than right now to build your ...

Evonik

Summer Internship

Milton, WI

$21 - $27/hr

Process Engineering Intern: Contributed to the startup activities of a new chemical process ... Evonik's Internship Program, click here: There is no better time than right now to build your ...

Flux Resources

WI · On-site

$132.46 - $165.57/hr

Commissioning Engineer, Data Center Controls This is a full‑time, on‑site role located in Austin, TX. Summary The Commissioning Engineer, Data Center Controls will lead commissioning, startup ...

Adomate

WI · On-site

$90 - $130/hr

Collaborate with the data engineering team on model deployment * Research and implement ... Previous startup experience * PhD in AI/ML or related field What We Offer * Competitive salary and ...

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All JobsStartup Data Engineer JobsInternship Startup Data Engineer JobsInternship Startup Data Engineer Jobs in Wisconsin

Internship Startup Data Engineer information

What does an internship startup data engineer do?

An Internship Startup Data Engineer assists in building and maintaining data pipelines and architectures that help startups collect, process, and analyze data. They often work closely with engineers and data scientists to ensure data is accessible and reliable for business needs. Responsibilities may include cleaning and transforming raw data, working with databases, and helping implement data solutions in cloud environments. Interns are expected to learn quickly, adapt to fast-paced changes, and contribute to projects that impact the startup’s growth.

What types of projects and responsibilities can I expect as an internship startup data engineer?

As an Internship Startup Data Engineer, you'll typically work on a variety of hands-on projects such as building data pipelines, cleaning and transforming raw data, and assisting with setting up databases or cloud data solutions. You may collaborate closely with software engineers, data scientists, and product managers to support analytics initiatives or improve data infrastructure. Startups often provide interns with opportunities to take ownership of smaller projects and contribute directly to core products, offering valuable exposure to the full lifecycle of data engineering tasks. Expect a fast-paced environment where adaptability and proactive learning are highly valued.

What are the key skills and qualifications needed to thrive as an internship startup data engineer, and why are they important?

To excel as an Internship Startup Data Engineer, you typically need a background in computer science, statistics, or a related field, along with foundational knowledge in data structures and algorithms. Familiarity with programming languages like Python or SQL, experience with data processing frameworks (such as Pandas or Spark), and version control tools like Git are commonly required. Strong problem-solving abilities, adaptability, and effective communication skills will help you stand out in a dynamic startup environment. These skills are essential for efficiently managing and analyzing data to support rapid product development and informed decision-making in a fast-paced setting.

What is the difference between Internship Startup Data Engineer vs Junior Data Analyst?

AspectInternship Startup Data EngineerJunior Data Analyst
Required CredentialsBasic programming, SQL, data managementStatistical knowledge, Excel, SQL
Work EnvironmentStartup, fast-paced, hands-on projectsCorporate or startup, data reporting and analysis
Employer & Industry UsageTech startups, data-driven companiesVarious industries, marketing, finance, retail
Search & Comparison IntentLearning, entry-level experience, internship opportunitiesData analysis skills, entry-level roles

Internship Startup Data Engineers focus on building data pipelines and managing data infrastructure, often requiring basic programming and SQL skills. Junior Data Analysts primarily analyze data, generate reports, and interpret results. Both roles are entry-level but differ in technical focus and daily tasks, with internships offering hands-on experience in startup environments and analyst roles emphasizing data interpretation.

What are the most commonly searched types of Startup Data Engineer jobs in Wisconsin?

The most popular types of Startup Data Engineer jobs in Wisconsin are:

What are popular job titles related to Internship Startup Data Engineer jobs in Wisconsin?

For Internship Startup Data Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Internship Startup Data Engineer jobs in Wisconsin look for?

The top searched job categories for Internship Startup Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Internship Startup Data Engineer jobs?

Cities in Wisconsin with the most Internship Startup Data Engineer job openings:

Internship Startup Data Engineer jobs near you

Data Engineering Intern - Platform & Product

Artisan Partners

Milwaukee, WI • Hybrid

$16.50 - $21.50/hr

Internship

Posted 6 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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