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Insurance Data Engineer Jobs in Wisconsin (NOW HIRING)

Quanex

Manager, Data Governance

Rice Lake, WI · On-site

This role partners closely with Engineering, IT, Manufacturing, Finance, and Operations ... Employer paid disability plans and life insurance * Paid Time Off & Holidays * Flexible Work ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... data engineering and decision science to provide winning actionable insights assisting our ... Insurance and credit union business in achieve their business goals. Innovizant made up of ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

... data engineering and decision science to provide winning actionable insights assisting our ... Insurance and credit union business in achieve their business goals. Innovizant made up of ...

trane technologies

Senior Data Modeler

La Crosse, WI · On-site

Benefits kick in on DAY ONE for you and your family, including health insurance and holistic ... Support data engineers in the implementation of physical data structures. Tool Utilization ...

Sanford Health

Senior Data Modeler

Marshfield, WI · Remote

$40/hr

The Senior Data Modeler leads collaboration with data architects, data engineers, and business ... Experience in data modeling and design within the health insurance or health care industry is ...

Rural Mutual Insurance

Data Analyst

Milwaukee, WI · On-site

Description Rural Mutual Insurance , one of the top 50 property and casualty companies in the ... and engineering initiatives. * This is a remote position. * Candidate must live and work in ...

Rural Mutual Insurance

Data Analyst

Madison, WI · On-site +1

Description Rural Mutual Insurance , one of the top 50 property and casualty companies in the ... and engineering initiatives. * This is a remote position. * Candidates must live and work in ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Strong data engineering and/or cloud expertise. * Previous experience as a data scientist ... insurance including dental and vision. Depending on your location additional benefits might be ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Strong data engineering and/or cloud expertise. * Previous experience as a data scientist ... insurance including dental and vision. Depending on your location additional benefits might be ...

DataCamp

Data Science Editor

Belgium, WI · On-site +1

Strong data engineering and/or cloud expertise. * Previous experience as a data scientist ... insurance including dental and vision. Depending on your location additional benefits might be ...

US Bank

Data Analyst

Milwaukee, WI · Hybrid

Partner with technical resources (e.g., developers, data engineers) to communicate business and ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

MAXIMUS

Senior Engineer - Data Analytics

Milwaukee, WI · On-site

$104K - $141K/yr

... data and semantic model design. - Analyze requirements and apply architectural and engineering ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

TTM Technologies

Data Analyst

Chippewa Falls, WI · On-site

TTM stands for time-to-market, representing how TTM's time-critical, one-stop design, engineering ... insurance, disability benefits, paid vacation & holidays. Benefits are available 1st of the month ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Wisconsin

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:
Insurance Data Engineer jobs near you
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.
Manager, Data Governance

Manager, Data Governance

Quanex

Rice Lake, WI • On-site

Full-time

Posted 29 days ago

Job description

Quanex is looking for a Manager, Data Governance to join our team located in Akron, OH, Owatonna, MN or Rice Lake, WI.

Will be responsible for establishing, leading, and sustaining enterprise data governance practices to ensure data quality, integrity, availability, and compliance across the organization. This role partners closely with Engineering, IT, Manufacturing, Finance, and Operations stakeholders to define standards, ownership, and processes that enable trusted data for decision-making and operational execution. The role has strong accountability for governance of ERP data, engineering change processes, and related controls.

We Offer You!

  • Competitive Salary
  • Bonus Potential
  • 401K with 5% company match, yours to keep after 2 years
  • 15% immediate return if you participate in the company’s ESPP
  • Medical, Dental & Vision Plans
  • Employer paid disability plans and life insurance
  • Paid Time Off & Holidays
  • Flexible Work Schedule
  • Tuition support for degree and continuous education
  • Employee Resource Groups focused on employee empowerment

What’s attractive about the Manager, Data Governance?

  • Fast paced environment
  • Supportive and collaborative culture
  • Variation of job tasks
  • The company LIVES its values

What Success Looks Like:

  • Govern master and reference data within ERP platforms, including SAP and Oracle
  • Define and maintain the enterprise data governance framework, including policies, standards, and operating procedures
  • Establish data ownership, stewardship, and accountability models across business and engineering domains
  • Govern engineering-related data domains such as product, BOM, routings, and specifications across systems
  • Oversee and support Engineering Change Request (ECR) and Engineering Change Order (ECO) data impacts, ensuring accuracy, traceability, and SOX compliance
  • Lead data quality initiatives, including definition of metrics, ongoing monitoring, root-cause analysis, and remediation
  • Partner with Engineering and Manufacturing teams to align data structures with business processes and system needs
  • Exercises independent judgment in defining governance standards, resolving data quality issues, and recommending system or process changes impacting enterprise data
  • Collaborate with IT on data architecture, integrations, access controls, and system enhancements related to governed data
  • Ensure data governance practices align with data security, privacy, and access control policies in partnership with IT and Compliance
  • Provide governance oversight for engineering software licensing data, including data accuracy, entitlement tracking, and audit support
  • Support compliance, audit, and risk management requirements related to data integrity and system controls

Your Credentials:

  • Bachelor’s degree in Engineering, Information Systems, Data Management, or a related field
  • 7+ years of experience in data management, master data, or data governance roles
  • Hands-on experience with ERP systems, specifically SAP and/or Oracle
  • Experience supporting engineering or manufacturing data processes, including ECR/ECO workflows
  • Working knowledge of print controls and document control concepts
  • Strong understanding of manufacturing, engineering, and operational data flows
  • Proven ability to influence cross-functional stakeholders without direct authority

The salary range for this position is $125K- $160K w/ bonus potential.

About Quanex, A Part of Something Bigger

Quanex (NYSE: NX) is a global, publicly traded manufacturing company primarily serving OEMs in the fenestration, cabinetry, solar, refrigeration and outdoor products markets. We are A Part of Something Bigger by improving the performance and aesthetics of end products through continuous innovation, helping customers achieve greater production efficiencies, dedication to giving back to communities where we operate, producing shareholder value and helping our employees learn, grow, and thrive. Learn more at Quanex.com.

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About Quanex

Sourced by ZipRecruiter

Industry

Construction materials wholesalers

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

Year founded

1927

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