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Insurance Data Engineer Jobs in Wisconsin (NOW HIRING)

Data Engineer

Stevens Point, WI

$111K - $133K/yr

Delta Dental of Wisconsin is seeking a Data Engineer to design, build, and maintain the data ... Health, vision, dental, and life insurance * Short- and long-term disability coverage * HSA, FSA ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Our client is an insurance firm looking for high-quality talent to make a difference. They are ... The Senior Data Engineer (DevOps/AWS Migration) - HR workforce data analytics: is responsible for ...

Data Engineer Lead

Milwaukee, WI · On-site

$98K - $199K/yr

Data Engineer Lead Job Locations US-MN-Lake Elmo | US-IL-Chicago | US-IN-Evansville | US-WI ... insurance. 401K, continuing education opportunities and an employee assistance program are also ...

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Senior Data Engineer Pay from $96,000 to $148,000 per year 2200 S. Lakeside Drive, Waukegan, IL ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

IT Data Engineer

Janesville, WI · On-site +1

$72K - $90K/yr

Medical, Prescription, Dental, Vision, Short & Long Term Disability, Life Insurance, Ancillary ... Job Duties As a Data Engineer, you will play a key role in designing, implementing, and maintaining ...

The Senior Data Engineer is responsible for software development and data engineering projects ... Experience in healthcare or insurance industry preferred Supervisory Responsibilities : * None ...

IT Data Engineer

Janesville, WI · On-site

$72K - $90K/yr

Medical, Prescription, Dental, Vision, Short & Long Term Disability, Life Insurance, Ancillary ... Job Duties As a Data Engineer, you will play a key role in designing, implementing, and maintaining ...

Software Engineer, Data

Stevens Point, WI · On-site

$111K - $133K/yr

Software Engineer, Data Austin, Texas (Hybrid: Four Days in Office) Note: This is a full ... Medical Insurance, Dental Insurance,andVision Insurance(employee-paid) * Company-paid Short-Term ...

Data Architect

Fond Du Lac, WI · On-site

$62.75 - $80.75/hr

Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect ... Works with data engineering and Agile teams to ensure architecture is implemented effectively ...

Variable Data Programmer Are you looking for a career with a great company? We are looking for a ... life insurance, and eligibility after 30 days for a company matched 401(k) plan. Paid time off ...

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Insurance Data Engineer information

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

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.

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.

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
What are popular job titles related to Insurance Data Engineer jobs in Wisconsin? For Insurance Data Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Wisconsin look for? The top searched job categories for Insurance Data Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Insurance Data Engineer jobs? Cities in Wisconsin with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Wisconsin as of July 2026, with employment types broken down into 79% Full Time, and 21% Contract. Highlights an 80% In-person, 14% Hybrid, and 6% Remote job distribution.
Data Engineer

$111K - $133K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

At Delta Dental of Wisconsin, we are champions of Oral Health, and we have built our company on a foundation of delivering innovative products and services within our culture of legendary service. Our culture that sets us apart within our industry and the way we do business and it is different. Our employees stay here because the organization supports them as employees and their career growth. We have many employees who have stayed for 25, 30, or even 45 years within our organization.

Delta Dental of Wisconsin is seeking a Data Engineer to design, build, and maintain the data infrastructure and pipelines that enable Delta Dental of Wisconsin to collect, process, and access high quality data at scale. This full-time hybrid position is located at our corporate headquarters in Stevens Point. 

This position will develop robust ETL (Extract, Transform, Load) processes, architect data solutions, and optimize data systems for performance and reliability. As a technical lead on the team, the Data Engineer will drive the execution of our Data Strategy, support organizational OKRs and Core Metrics, and help DDWI become a more data-driven organization by ensuring data accessibility, integrity, and governance.

What You'll Do 

  • Design, develop, and maintain scalable data pipelines and ETL processes to ingest data from multiple sources
  • Build and optimize data warehouse and data lake architectures to support analytics and reporting needs
  • Create and maintain data models that accurately represent business logic and support efficient querying
  • Write clean, efficient, and well-documented code following engineering best practices and standards
  • Implement data quality checks, validation rules, and monitoring to ensure data accuracy and reliability
  • Develop and maintain data documentation, data dictionaries, and metadata repositories
  • Collaborate with data analysts, business intelligence teams, and stakeholders to understand data requirements and translate them into technical solutions
  • Establish and enforce data governance policies, security protocols, and compliance standards (HIPAA, GDPR, etc.)
  • Troubleshoot and resolve data pipeline failures, performance issues, and data quality problems
  • Optimize database performance through indexing, query optimization, and architectural improvements
  • Lead the evaluation and implementation of new data technologies, tools, and platforms
  • Develop automated monitoring and alerting systems for data pipelines and infrastructure
  • Create technical documentation and provide guidance on data engineering best practices
  • Mentor junior team members and provide technical leadership on data engineering initiatives
  • Support strategic data initiatives, including the development of new data products and infrastructure improvements
  • Participate in code reviews and contribute to continuous improvement of data engineering practices

At Delta Dental, we’re committed to attracting and keeping great talent with a comprehensive benefits package for employees and their families. We offer: 

  • Health, vision, dental, and life insurance
  • Short- and long-term disability coverage
  • HSA, FSA, and Dependent Care Accounts
  • Competitive salary and incentive compensation based on company results
  • 401(k) with employer match and a 6.5% employer contribution to retirement accounts
  • Robust wellness programs, whether you work on-site or remotely 

We also value work-life balance with a generous PTO package that grows with your tenure, company holidays, and time off for volunteering. We don't just provide it; we encourage employees to utilize the time off. See what our employees have to say about working at Delta Dental here:   https://www.deltadentalwi.com/s/employee-testimonial 

Apply today to help shape the future of our data strategy and build the systems that power smarter business decisions. 

This position does not offer immigration sponsorship. Â