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No Experience Data Engineer Jobs in Wisconsin (NOW HIRING)

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience ... have no plans to quit. We set the standard for farm management solutions and fix our eyes on ...

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience ... have no plans to quit. We set the standard for farm management solutions and fix our eyes on ...

Data Engineer

Watertown, WI

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience ... have no plans to quit. We set the standard for farm management solutions and fix our eyes on ...

Data Engineer

Watertown, WI · On-site

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience ... have no plans to quit. We set the standard for farm management solutions and fix our eyes on ...

Data Engineer

Watertown, WI · On-site +1

$109K - $131K/yr

We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience ... have no plans to quit. We set the standard for farm management solutions and fix our eyes on ...

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

Description Rural Mutual Insurance is looking for an experienced and motivated data professional to ... As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ...

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

Description Rural Mutual Insurance is looking for an experienced and motivated data professional to ... As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ...

Data Engineer

Madison, WI · On-site

$105K - $120K/yr

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a ... As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ...

Data Engineer

Madison, WI · On-site

$105K - $120K/yr

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a ... As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ...

Data Engineer

Madison, WI · On-site

$105K - $120K/yr

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a ... As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

... experience)Experience with SQL and relational databasesFamiliarity with at least one programming language (Python preferred)Basic understanding of data warehousing conceptsExperience with Git or ...

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

... experience)Experience with SQL and relational databasesFamiliarity with at least one programming language (Python preferred)Basic understanding of data warehousing conceptsExperience with Git or ...

Senior Data Engineer

Madison, WI · On-site

$106K - $145K/yr

Candidates must have strong, recent hands‑on experience with most of the following: Languages * SQL * Python (PySpark preferred) Data Platforms / Storage * Cloud data platforms (Azure preferred;

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Showing results 1-20

No Experience Data Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do no experience data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for no experience data engineer in Wisconsin is $130,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,600.00 and $138,800.00 per year, depending on experience, location, and employer.

What is a no experience data engineer?

No Experience Data Engineers are individuals who are entering the field of data engineering without prior professional experience in the role. They may have relevant educational backgrounds or have completed certifications and personal projects, but are seeking entry-level positions to gain practical, on-the-job experience. These roles typically involve learning to build and maintain data pipelines, manage databases, and work with big data tools under the guidance of more experienced engineers. Employers look for foundational skills in programming, SQL, and an understanding of data systems, even if the candidate has not previously worked as a data engineer.

What skills and qualifications are needed to thrive as a no experience data engineer?

To thrive as a No Experience Data Engineer, you need a strong understanding of data structures, SQL, and basic programming languages such as Python or Java, often backed by a degree in computer science or a related field. Familiarity with tools like SQL databases, ETL pipelines, and cloud platforms (e.g., AWS, Google Cloud) is highly beneficial, and obtaining entry-level certifications can be helpful. Strong problem-solving abilities, attention to detail, and a willingness to learn are critical soft skills for those starting out in this field. These skills and qualities enable newcomers to efficiently manage, process, and analyze data, laying a solid foundation for growth in data engineering roles.

How can entry-level data engineers quickly gain practical experience and contribute to their team?

As an entry-level Data Engineer, you can quickly gain practical experience by volunteering for small-scale data projects, assisting with data pipeline maintenance, and exploring internal documentation. Collaborating closely with senior engineers and asking for feedback accelerates learning and helps you understand best practices. Participating in code reviews and pair programming sessions also enhances your technical and teamwork skills, making it easier to contribute meaningfully to your team’s objectives.

What is the difference between No Experience Data Engineer vs Data Engineer?

AspectNo Experience Data EngineerData Engineer
Required CredentialsBasic understanding of data concepts, entry-level certificationsDegree in Computer Science or related field, advanced certifications often preferred
Work EnvironmentInternships, entry-level roles, training programsFull-time professional roles in tech or data teams
Employer & Industry UsageStartups, companies hiring entry-level data rolesTech companies, finance, healthcare, and large enterprises
Search & Comparison IntentYesYes

The main difference between a No Experience Data Engineer and a Data Engineer lies in experience and qualifications. The No Experience Data Engineer is typically an entry-level role suited for those just starting, often requiring basic data knowledge and certifications. In contrast, a Data Engineer usually has relevant experience, a degree, and advanced skills, working in more complex environments. Both roles are essential in data-driven organizations, but they differ significantly in responsibilities and expectations.

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

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

What job categories do people searching No Experience Data Engineer jobs in Wisconsin look for?

The top searched job categories for No Experience Data Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for No Experience Data Engineer jobs?

Cities in Wisconsin with the most No Experience Data Engineer job openings:

Infographic showing various No Experience Data Engineer job openings in Wisconsin as of August 2026, with employment types broken down into 81% Full Time, 14% Part Time, and 5% Contract. Highlights an 64% In-person, and 36% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Data Engineer

AgSource

Watertown, WI • On-site

$109K - $131K/yr

Full-time

Posted 6 days ago


Job description

VAS, a URUS Group company, is looking for a Data Engineer to help design, build, and improve the data solutions that support our global business. Working primarily in Databricks, you'll develop and maintain pipelines and datasets that power reporting, analytics, and AI/ML workloads.

This role works across both modern and established data technologies, with a focus on improving performance, reliability, data quality, and scalability. We're looking for someone with strong data engineering fundamentals, hands-on Databricks experience, and a solid understanding of data warehousing and Microsoft-based data environments.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines and datasets in Databricks using Python, Spark, and SQL.
  • Develop and support batch and streaming data architectures for reporting, analytics, and AI/ML workloads.
  • Troubleshoot and optimize Databricks and existing data integration processes for performance, reliability, and data latency.
  • Support and enhance existing SQL Server, SSIS, and SSRS solutions while contributing to ongoing platform modernization.
  • Implement data quality checks, validation, cleansing, and data warehousing best practices across data pipelines and reporting environments.
  • Integrate Databricks with enterprise applications, databases, and other data sources.
  • Partner with business users, analysts, and IT teams to translate reporting and data needs into scalable technical solutions.
  • Contribute to continuous improvement through emerging data engineering practices, AI-assisted development tools, documentation, and ongoing learning
     

Requirements

  • Bachelor's degree in Computer Science, Information Systems, or a related field.
  • Strong hands-on experience with Databricks, including Python, Spark, and Delta Lake.
  • Strong SQL Server and data warehousing experience, including T-SQL.
  • Experience with SSIS and SSRS.
  • Experience with Microsoft Azure; Microsoft Fabric is a plus.
  • Experience using AI-assisted development tools as part of the engineering workflow.
  • Strong analytical, problem-solving, communication, and collaboration skills.
     

For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.

Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.

Whether near or far, large or small, VAS is at the heart of your dairy.

VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.