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

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 ...

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 ...

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 ...

You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software teams to analyze biological, production, sensor, and operational data and turn it into ...

You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software teams to analyze biological, production, sensor, and operational data and turn it into ...

You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software teams to analyze biological, production, sensor, and operational data and turn it into ...

You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software teams to analyze biological, production, sensor, and operational data and turn it into ...

You'll work with veterinarians, nutritionists, dairy scientists, farm operators, data engineers, and software teams to analyze biological, production, sensor, and operational data and turn it into ...

Data Crawling - Consultant

Oregon, WI ยท On-site

$100 - $125/hr

Collaborate with Product, Engineering, and Data teams to ensure reliable and timely data collection. * Maintain documentation for crawling processes, extraction rules, and data quality standards.

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

The Data and Analytics Team within the Information Technology department provides enterprise data engineering, analytics, reporting, visualization, and predictive analytics solutions. The team ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm * Develop and apply data quality standards to ensure reliable, trustworthy outputs * Document data ...

Partner with the Data Engineering team to source, integrate, and validate data from across the Firm * Develop and apply data quality standards to ensure reliable, trustworthy outputs * Document data ...

Project Engineer

Madison, WI ยท On-site

$80 - $100/hr

Prime Data Centers develops, acquires, and operates data centers for some of the world's largest ... The Project Engineer must have an understanding of basic electrical and mechanical systems. They ...

Software Engineer, Data Migration

Oregon, WI ยท On-site

$100 - $125/hr

... data synchronization. We're looking for a Software Engineer with a strong background in computer science fundamentals, systems design, experience in the Java ecosystem, streaming systems, and ...

Data Scientist II

Madison, WI ยท On-site

$80 - $100/hr

Stay current with Azure, Power BI, GIS tools, and data engineering best practices * Recommend enhancements to improve data accessibility, visualization, and spatial analysis capabilities It is ...

Data Scientist II

Madison, WI ยท On-site +1

$80K/yr

Stay current with Azure, Power BI, GIS tools, and data engineering best practices * Recommend enhancements to improve data accessibility, visualization, and spatial analysis capabilities It is ...

Showing results 41-60

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 Sep 8, 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 a data engineer?

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.

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.

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.

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 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.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.

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 are popular job titles related to Data Engineer jobs in Sun Prairie, WI?

For Data Engineer jobs in Sun Prairie, WI, the most frequently searched job titles 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 August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 14% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $126,206 per year, or $60.7 per hour.

Senior Data Scientist

Elephas

Madison, WI โ€ข On-site

Full-time

Medical, Life, Retirement, PTO

Re-posted 16 days ago


Job description

Summary

Elephas is a growing biotechnology company located in Madison, WI seeking a talented individual to join our team as a Senior Data Scientist. Applicants should be comfortable in a fast-paced and collaborative environment. Candidates should be eager to learn and flexible with an aptitude for understanding and synthesizing scientific and medical information, strong analytical and problem-solving skills. A successful candidate will not only exemplify these skills but also be passionate about improving the lives of cancer patients, grounded and gritty, and an enthusiastic teacher.

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 across different assay versions, engineering features to feed modeling, evaluating different types of modeling approaches, training unsupervised and supervised data models and reporting performance, assimilating, summarizing, and visualizing results, and presenting results to Commercial, RD and Scientific Communications stakeholders.

Essential Duties and Responsibilities

  • Lead complex, high-visibility data science projects from problem definition through delivery, implementation, ongoing refinement.
  • Develop and apply advanced statistical, machine learning, and computational methods to biological, experimental, clinical, product, and operational datasets.
  • Establish robust, reproducible, and maintainable analytical pipelines, models, and tools suitable for broader team use.
  • Provide input to biomedical research scientist presentations and publications regarding rigorous and appropriate analytic approaches.
  • Lead complex data presentation to technical and non-technical stakeholders.
  • Provide technical leadership through code review, methodological guidance, and best-practice development.
  • Mentor junior and mid-level data scientists, supporting their technical growth, project execution, and decision-making.

Education/Experience/Skills

  • Master's (+5 years experience) or PhD (+2 years experience) in Data Science, Biostatistics, Bioinformatics, Biomedical Engineering or related field
  • Strong background in quantitative analysis and statistics
  • 1-3 years experience analyzing biomedical datasets is preferred
  • Experience programming in Python is preferred
  • Knowledge of machine learning, data science, data mining, data querying, statistics, signal processing, image processing, etc.
  • Experience explaining complex data methodologies to non-technical stakeholders
  • Familiarity with software development life cycle and best practices
  • Detail-oriented with strong organizational skills

We offer our employees competitive compensation and benefits, including paid time off, health insurance, life insurance, flexible spending accounts, a 401(k) plan, and stock options.


DISCLAIMER

The preceding job description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to the job.

We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class.


Elephas logo

About Elephas

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

51 - 200 Employees

Headquarters location

Madison, WI, US

Year founded

2020