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

Elephas

Senior Data Scientist

Madison, WI · On-site

$120 - $170/hr

Experience programming in Python is preferred * Knowledge of machine learning, data science, data ... life insurance, flexible spending accounts, a 401(k) plan, and stock options. DISCLAIMER The ...

Actalent

Data Reviewer

Verona, WI · On-site

$35 - $43/hr

... Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term ... About Actalent Actalent is a global leader in engineering and sciences services and talent ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

... insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

The Weather Channel

Senior Data Scientist

Madison, WI · On-site

... insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a ... Programming capabilities including C++, Java, Python is a plus but not necessary. Additional ...

Wisconsin

Data Scientist II or III

Madison, WI · On-site

$85K/yr

... insurances and savings accounts; retirement benefits. For more information, refer to the campus ... Advanced proficiency with statistical software and programming languages, specifically Python and R.

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Showing results 21-40

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Sun Prairie, WI

Insurance Data Engineer information

See Sun Prairie, WI salary details

$43.3K

$126.2K

$172.7K

How much do insurance data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for insurance 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 an insurance data engineer?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

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

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

How does an insurance data engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

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

For Insurance Data Engineer jobs in Sun Prairie, WI, the most frequently searched job titles are:

What cities near Sun Prairie, WI are hiring for Insurance Data Engineer jobs?

Cities near Sun Prairie, WI with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Sun Prairie, WI as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $126,206 per year, or $60.7 per hour.

Senior Data Scientist

Elephas

Madison, WI • On-site

$120 - $170/hr

Other

Medical, Life, Retirement, PTO

Posted 6 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.

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.

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About Elephas

Sourced by ZipRecruiter

Industry

Biotechnology research and development

Company size

51 - 200 Employees

Headquarters location

Madison, WI, US

Year founded

2020

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