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Data Analytics Engineer Jobs in Wisconsin (NOW HIRING)

You seek an opportunity to expand your skills in developing data structures, data programming ... Are you interested in analyzing data, developing insights, and supporting the decision-making ...

You seek an opportunity to expand your skills in developing data structures, data programming ... Are you interested in analyzing data, developing insights, and supporting the decision-making ...

WI · On-site

Building on that foundation, the VP partners with the Enterprise Analytics engineering team to design the enterprise data foundation and pipelines -- which Engineering builds and maintains -- with ...

WI · On-site

$108K - $130K/yr

... analytics across LMCU. This role manages Senior Data Engineer resources, establishes data engineering standards, oversees delivery and operational support, and ensures data solutions are scalable ...

GCP Data Engineer

Appleton, WI · On-site

$75 - $80/hr

Summary As a Data Engineer on the Data Analytics Data Platform (DADP) team, you analyze, develop, and deliver business intelligence solutions primarily using Google Cloud Platform (GCP) data platform ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

WI · On-site

$115K - $138K/yr

Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows for analytics and reporting * Engineer solutions using PySpark, Spark SQL, SQL, Python, Delta Lake ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Syntricate Technologies is a company seeking a Data Engineer to join their team. The role involves ... data/analytics architecture (Big Data, Cloud, etc.,). • Exposure to advance analytics tools ...

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Showing results 41-60

Data Analytics Engineer information

See Wisconsin salary details

$44.9K

$130.9K

$179.2K

How much do data analytics engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data analytics 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.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

What is the difference between Data Analytics Engineer vs Data Scientist?

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

What does a data analytics engineer do?

A data analytics engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and analyze large datasets. They use tools like SQL, Python, and cloud platforms to enable data-driven decision-making and often collaborate with data scientists and business teams to develop insights and reports.

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

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

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

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

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

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

Infographic showing various Data Analytics Engineer job openings in Wisconsin as of September 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $130,930 per year, or $62.9 per hour.

Data, Analytics, & AI Intern

Plymouth, WI • On-site, Remote

Sargento
Food and Drink Manufacturing • 1 - 5K employees

Part-time

Retirement

Posted 19 days ago


Sargento rating

9.2

Company rating: 9.2 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Do you have a passion for data and uncovering insights that drive business decisions? Are you interested in analyzing data, developing insights, and supporting the decision-making process for business purposes? You are enthusiastic, a great communicator, creative, analytical, and collaborative. You seek an opportunity to expand your skills in developing data structures, data programming languages, and data governance practices. You want to learn more about transforming, enabling, and protecting data for business use — including how modern data pipelines, cloud platforms, and emerging AI capabilities support analytics, decision-making, and business outcomes.

Your Story.

Do you have a passion for data and uncovering insights that drive business decisions? Are you interested in analyzing data, developing insights, and supporting the decision-making process for business purposes? You are enthusiastic, a great communicator, creative, analytical, and collaborative. You seek an opportunity to expand your skills in developing data structures, data programming languages, and data governance practices. You want to learn more about transforming, enabling, and protecting data for business use — including how modern data pipelines, cloud platforms, and emerging AI capabilities support analytics, decision-making, and business outcomes.

Your Passion. Our Culture.

At Sargento, you work for a company you believe in, with a family of people who believe in you.  Our culture stems from a simple premise: Hire good people and treat them like family.  At Sargento, you can make decisions based on how they affect people as well as the long-term health of our company.  You will be encouraged to make a meaningful difference in the community, in the company and in your career.  With diverse experiences and tools to learn and develop, you can transform your aspirations into reality.  If you’re ready for the right place to belong and grow your career, you can find it here.

Benefits That Set Us Apart.

  • Lead and own real and relevant projects aligned with business objectives 
  • Gain valuable skills and experiences to be prepared for entry level opportunities 
  • Mentorship and career development to learn and grow personally and professionally
  • Volunteer in community service activities
  •  Social professional networking experiences
  • Flexible work week onsite Mondays through Thursdays and optional remote Fridays; plus, half day Fridays
  • Nationally competitive compensation
  • Paid relocation and housing
  • 5 unpaid days off for interns and 10 unpaid days off for co-ops 
  • 401(k) employer contribution top 1% in the nation 
  • Discounts at the company cheese store and local attractions/events

Skills You Will Develop.

  • Communication
  • Critical Thinking
  • Collaboration
  • Cross-Functional
  • Professionalism
  • Leadership
  • Technology
  • Time Management

What You Do.

  • Design data visuals and concepts based on business stakeholder input.
  • Collaborate with business stakeholders to discover business needs and capture business use cases for data, analytics, and AI initiatives.
  • Build basic data models for business analytics initiatives with support from data engineers.
  • Assist in developing and testing ELT/ETL pipelines that move and transform data across cloud and on-premise systems.
  • Support data quality monitoring efforts, including identifying anomalies, gaps, and inconsistencies in datasets.
  • Develop and manage policies and best practices for proper data protection and security.
  • Support the collection of metadata information for analytics metrics and data terminology, including contributing to data catalog and lineage documentation efforts.
  • Assist in enabling business stakeholders on data, analytics, and AI tools, software, and concepts, including responsible and effective use of approved AI capabilities.
  • Support AI-related research, experimentation, and documentation efforts, including evaluating use cases, gathering business requirements, measuring value, and contributing to AI adoption and enablement activities.
  • Gain a basic understanding and work effectively in an Agile (SAFe) project management framework Assist with packaging design projects

 

Your Education and Qualifications.

  • Pursuing a bachelor’s degree in information science, data science, information technology, computer science, artificial intelligence, machine learning, or a related field, having completed sophomore year prior to the start of internship.
  • Basic understanding of data querying and programming languages (SQL, Python) a plus.
  • Familiarity with AI tools, prompt engineering concepts, machine learning fundamentals, or generative AI technologies is a plus.
  • Familiarity with cloud platforms (AWS, Azure, or Snowflake) a plus.
  • Exposure to data pipeline or transformation tools (dbt, Matillion, or similar) a plus.
  • Experience with data visualization or business intelligence (BI) tools a plus.
  • Proficiency in MS Office.
  • Ability to communicate complex data insights in a clear and concise manner.
  • Effective communication skills with the ability to work with cross-functional teams and stakeholders.
  • Strong analytical and problem-solving skills.
  • Eagerness to learn and adapt in a fast-paced environment.
  • Curiosity about how data moves through systems and how it is structured, stored, consumed, and leveraged through analytics and AI solutions.
  • Valid driver’s license, vehicle insurance, and vehicle required. There is no mass/public transit system to/from corporate housing location to company locations

    Our Story.   

    With over 2,400 employees and net sales of $1.8 billion, Sargento Foods is a family-owned company that has been a leader in cheese for more than 70 years. We created the world’s first, successful pre-packaged sliced and shredded natural cheeses. Sargento is based in Plymouth, Wisconsin, where we manufacture shredded, sliced and snack natural cheese products, as well as ingredients and sauces.  Sargento is known for the exceptional quality of our products and for product design, packaging and merchandising innovations that have transformed our industry.

    To learn more about our culture and values, please visit our website at https://careers.sargento.com/us/en.

    Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
    This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

    What Sargento employees say

    Pay

    Benefits

    Hours and flexibility

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    About Sargento

    Sourced by ZipRecruiter

    Industry

    Food and drink manufacturing

    Company size

    1,001 - 5,000 Employees

    Headquarters location

    Plymouth, WI, US

    Year founded

    1953