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No Experience Data Engineer Jobs in Wisconsin (NOW HIRING)

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

... no payback requirement! For more information, please view our Total Rewards guide . This is your ... Minimum of 3 years' experience in data analytics or data solutions Demonstrated experience writing ...

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 ...

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 ...

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 ...

Experience developing, debugging, and testing data processing pipelines. * Familiarity with Git or other version control systems. * Familiarity with containerization and/or virtual environment ...

In data engineering at PwC, you will focus on designing and building data infrastructure and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Qualifications: - Education - Bachelor's in Computer Science, Information Systems, Engineering, or related field (or equivalent experience) - Experience - 2-3 years delivering production data ...

Qualifications: - Education - Bachelor's in Computer Science, Information Systems, Engineering, or related field (or equivalent experience) - Experience - 2-3 years delivering production data ...

The candidate shall also demonstrate the below knowledge and experience: • Strong proficiency in Python and R for data engineering and analytical workflows. • Hands-on experience with Databricks ...

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;

Responsibilities include onboarding and maintaining integrations with platforms such as Axonius, analyzing and correlating asset and exposure data using SQL and Power BI, supporting continuous ...

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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 Aug 11, 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 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 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.

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 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.
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 are popular job titles related to No Experience Data Engineer jobs in Wisconsin? For No Experience Data Engineer jobs in Wisconsin, the most frequently searched job titles 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 80% Full Time, 15% Part Time, and 5% Contract. Highlights an 65% In-person, and 35% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Data Engineer

CTech Manufacturing

Schofield, WI • On-site

$114K - $137K/yr

Full-time

Retirement

Re-posted 20 days ago


Job description

Description:

We’re seeking a motivated and detail oriented Data Engineer to join our growing technology team. This is an excellent opportunity for a recent graduate or early career professional looking to build hands-on experience designing modern data solutions that directly impact business operations and decision making. In this role you will work closely with cross functional teams to help transition and modernize our existing ETL pipelines into scalable ELT processes, develop reporting and dashboard solutions, and support future AI and analytics initiatives.


Responsibilities:

Design, develop, and maintain ELT pipelines that move and transform data between business systems and databases

Assist in transitioning ETL workflows into scalable, efficient ELT processes

Work with SQL Server, PostgreSQL, and MongoDB databases to support operational and analytical needs

Develop, maintain, and optimize SQL queries, stored procedures, and database objects

Create and maintain business reports, dashboards, and visualizations using Power BI, SSRS, and related reporting tools

Collaborate with business stakeholders to understand reporting requirements and deliver actionable insights

Monitor and troubleshoot data pipelines, integrations, and reporting workflows to ensure reliability and accuracy

Document data processes, workflows, and technical solutions for internal teams

Collaborate with software developers and operational teams to support enterprise data initiatives

Stay current with emerging technologies, tools, and best practices in data engineering and analytics

Requirements:

Associate’s degree or higher in Computer Science, Data Science, Information Systems, or a related field

0-3 years of professional experience in data engineering, business intelligence, analytics, or related technical roles

Strong foundational knowledge of SQL and relational database concepts

Experience working with SQL Server, PostgreSQL, and/or MongoDB

Familiarity with data integration and workflow tools such as Apache Nifi

Experience developing reports and dashboards using Power BI, SSRS, or similar business intelligence platforms

Understanding of ETL/ELT concepts and data transformation workflows

Basic understanding of data modeling, normalization, and database design principles

Strong analytical and problem solving skills with attention to detail

Ability to manage multiple tasks and prioritize effectively in a collaborative environment

Eagerness to learn new technologies and grow within a data engineering career path


If you meet the above requirements and are excited about the opportunity to work with a talented team on challenging projects, we encourage you to apply. We offer a competitive salary, benefits package, 401(k) match, and opportunities for growth and development within the company. We also provide ongoing training and professional development opportunities to help our team members stay current with emerging technologies and best practices in data engineering.