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Data Engineer Jobs in Sun Prairie, WI (NOW HIRING)

We are looking for a Variable Data Programmer to join our award-winning team! The ideal candidate is very detail oriented with experience in data manipulation, USPS regulations, list processing and ...

We are looking for a Variable Data Programmer to join our award-winning team! The ideal candidate is very detail oriented with experience in data manipulation, USPS regulations, list processing and ...

We are looking for a Variable Data Programmer to join our award-winning team! The ideal candidate is very detail oriented with experience in data manipulation, USPS regulations, list processing and ...

We are looking for a Data Engineering Developer to join our team. If you love data - cleaning it, digging in it, understanding what type of insights stakeholders want from it and helping them ...

Sr AWS Cloud Engineer

Madison, WI · On-site

$56.25 - $75/hr

Collaborate with data engineering, business analysts, and development teams to design, develop, test, and maintain robust and scalable data pipelines from Workday to AWS Redshift. * Architect ...

Manager Of Data Engineering Bring YOUR energy to Alliant Energy! At Alliant Energy, our purpose is to serve customers and build stronger communities. We are passionate about powering beyond the ...

Data Engineering, Analytics & Visualization * Perform data acquisition, cleaning, validation, and exploratory analysis on large datasets including SCADA data, metering data, GIS layers, and ...

Our team of data scientists, software engineers, and AI engineers works shoulder-to-shoulder with faculty, students, and industry partners on problems across nearly every domain on campus. A typical ...

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

The Senior Data Scientist will support clinical correlation data modeling, which includes working with data engineers to assess data quality of incoming assay and clinical data, developing bootstraps ...

We're searching for a visionary Manager of Data Engineering who can blend strong people leadership with hands-on technical depth-someone fluent in both legacy data platforms and the modern cloud ...

They are seeking a visionary Manager of Data Engineering to lead the strategy and execution of their data ecosystem, transitioning from legacy platforms to cloud-native solutions. Responsibilities ...

We're searching for a visionary Manager of Data Engineering who can blend strong people leadership with handson technical depth-someone fluent in both legacy data platforms and the modern cloud ...

Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to ...

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Showing results 1-20

Data Engineer information

See Sun Prairie, WI salary details

$43.3K

$126.2K

$172.7K

How much do data engineer jobs pay per year?

As of Jun 28, 2026, the average yearly pay for data engineer in Sun Prairie, WI is $126,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,400.00 and $133,800.00 per year, depending on experience, location, and employer.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

Are data engineers highly paid?

Data engineers are generally well-paid due to their specialized skills in designing and maintaining data infrastructure, with salaries often higher than many other IT roles. Compensation varies based on experience, location, and industry, but strong technical skills in programming, databases, and cloud platforms typically lead to higher earnings.

What Does a Data Engineer Do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

What are Data Engineers?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

How do Data Engineers typically collaborate with Data Scientists and Analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What does a data engineer actually do?

A data engineer designs, builds, and maintains the infrastructure and pipelines that enable organizations to collect, store, and process large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible, reliable, and ready for analysis by data scientists and analysts.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior role that requires experience with programming, databases, and data pipeline tools. Entry-level data engineering positions may be available for candidates with relevant internships or strong foundational skills in SQL, Python, or cloud platforms, but most roles expect some prior experience. Certifications or coursework in data management can also be beneficial for those starting out.

What engineer makes $500,000 a year?

Senior data engineers with extensive experience, advanced skills in big data tools, and leadership roles can earn salaries approaching or exceeding $500,000 annually, especially in high-cost-of-living areas or large tech companies. Such compensation often includes base salary, bonuses, and stock options. Achieving this level typically requires years of expertise and a strong track record in data architecture and engineering.
What are the most commonly searched types of Data Engineer jobs in Sun Prairie, WI? The most popular types of Data Engineer jobs in Sun Prairie, WI are:
What job categories do people searching Data Engineer jobs in Sun Prairie, WI look for? The top searched job categories for Data Engineer jobs in Sun Prairie, WI are:
What cities near Sun Prairie, WI are hiring for Data Engineer jobs? Cities near Sun Prairie, WI with the most Data Engineer job openings:
Infographic showing various Data Engineer job openings in Sun Prairie, WI as of June 2026, with employment types broken down into 90% Full Time, and 10% Contract. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $126,206 per year, or $60.7 per hour.
VARIABLE DATA PROGRAMMER

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago


Job description

Overview

Are you looking for a career with a great company? We are looking for a Variable Data Programmer to join our award-winning team! The ideal candidate is very detail oriented with experience in data manipulation, USPS regulations, list processing and data management. Suttle-Straus, is a premier provider of printing, digital imaging, wide format, mailing, custom kitting, warehousing, and distribution services. Our success is founded on three core principles: A clear focus on meeting and exceeding customer expectations; a long history of implementing new technologies to increase quality and efficiency; and the importance of building an outstanding workforce. Suttle-Straus offers a collaborative work environment, great benefits and fantastic co-workers. 

We offer a competitive benefits package with immediate eligibility for health, dental, vision and life insurance, and eligibility after 30 days for a company matched 401(k) plan. Paid time off accrues monthly from date of hire.

Responsibilities

Job Summary:

The Variable Data Programmer is responsible for developing and programming personalized print and mail communications through variable data composition and document setup. This role focuses on translating client requirements into efficient, accurate, and visually effective variable print solutions for production.

Responsibilities include setup and programming of variable text, graphics, and layout logic for personalized mailings, as well as preparing and standardizing client-supplied data for use within composition workflows. The Variable Data Programmer works closely with internal teams to interpret project requirements and implement effective production methodologies for simple to more complex variable campaigns.

This is a technical, production-focused position requiring strong attention to detail and the ability to manage multiple aspects of document composition and output generation. Daily responsibilities may include variable composition of both data and artwork files, document programming, proofing, and production support utilizing a variety of software platforms including Adobe Creative Suite applications. Knowledge of data processing and postal workflows is beneficial; however, training is available for candidates with strong aptitude in variable composition and print production workflows.

Essential Job Functions:

  • Design, develop, and execute variable data composition workflows for personalized print and mail communications, ensuring accurate and visually consistent output across all projects.
  • Build and maintain dynamic templates and composition logic by merging client data with creative assets to produce highly customized, data-driven documents for proofing and production.
  • Translate client and internal requirements into effective personalization strategies, including segmentation, conditional logic, and multi-version output.
  • Work closely with Client Services and production teams to interpret job requirements and ensure accurate execution of variable composition and personalization.
  • Utilize client-supplied artwork (typically Adobe Creative Suite files) to create fully integrated variable documents, maintaining brand integrity and production standards.
  • Perform quality assurance and troubleshooting of variable output, ensuring data accuracy, layout integrity, and compatibility with downstream production processes (e.g., inserting, barcoding, mailing).
  • Apply problem-solving skills to resolve composition challenges related to data mapping, template logic, layout rendering, and output generation.
  • Support and enhance composition workflows and efficiencies, identifying opportunities for automation, standardization, and template reuse.
  • Serve as a technical resource to internal and external stakeholders on variable data composition capabilities and best practices.
  • Perform data preparation tasks as needed to support composition workflows, including file ingestion, normalization, and basic cleansing-leveraging established processes and tools that are structured and trainable.
  • Assist with data-related workflow steps such as presort processing and file standardization, with a primary focus on ensuring data readiness for successful variable composition output.
  • Demonstrate the ability to learn and apply new tools, technologies, and composition techniques quickly within a production-driven environment.
  • Maintain a high level of accuracy, attention to detail, and adherence to documented standard operating procedures.
Qualifications

Skills & Education: 

  • Associate degree or equivalent professional experience is a plus
  • Must be proficient with Windows and Mac operating system
  • Excellent typing skills required
  • Experience with DOS & Microsoft Office Suite required
  • Experience with Adobe Creative Cloud applications
  • Experience with BCC or Quadient Inspire a plus
  • Database experience a plus
  • Experience in a mail logistics and / or letter shop preferred but trainable
  • Working knowledge of postal sortation and bulk mailing rules a plus
  • Requires great attention to detail
  • Ability to thrive in a fast-paced work environment
Employment Type: OTHER