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Insurance Data Engineer Jobs in Wisconsin (NOW HIRING)

Society Insurance

Data Architect

North Fond Du Lac, WI · On-site

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 ...

Suttle-Straus

VARIABLE DATA PROGRAMMER

Waunakee, WI · On-site

... life insurance, and eligibility after 30 days for a company matched 401(k) plan. Paid time off ... The Variable Data Programmer is responsible for developing and programming personalized print and ...

Suttle-Straus

VARIABLE DATA PROGRAMMER

Waunakee, WI

... life insurance, and eligibility after 30 days for a company matched 401(k) plan. Paid time off ... The Variable Data Programmer is responsible for developing and programming personalized print and ...

TDS

VARIABLE DATA PROGRAMMER

Waunakee, WI · On-site

... life insurance, and eligibility after 30 days for a company matched 401(k) plan. Paid time off ... The Variable Data Programmer is responsible for developing and programming personalized print and ...

Society Insurance Company

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 ...

Society Insurance Company

Data Architect

Fond Du Lac, WI

$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 ...

TDS

VARIABLE DATA PROGRAMMER

Waunakee, WI · On-site

... life insurance, and eligibility after 30 days for a company matched 401(k) plan. Paid time off ... Job Summary: The Variable Data Programmer is responsible for developing and programming ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

Rural Mutual Insurance , one of the top 50 property and casualty companies in the nation, has been ... Stay current with emerging trends and technologies in business intelligence, data engineering, and ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$115K/yr

Rural Mutual Insurance , one of the top 50 property and casualty companies in the nation, has been ... Stay current with emerging trends and technologies in business intelligence, data engineering, and ...

Acrisure

Software Engineer, Data (L1)

Stevens Point, WI · On-site

$111K - $133K/yr

Software Engineer, Data (L1) Austin, TX (Onsite 4 days per week) Note: This is a full-time role and ... Medical Insurance, Dental Insurance, and Vision Insurance (employee-paid) * Company-paid Short-Term ...

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 ...

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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.
Data Architect

Data Architect

Society Insurance

North Fond Du Lac, WI • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago

Job description

Job Information
Job Title
Data Architect
Home Department:
Information Technology
Employment Status:
Exempt; Full-time
Schedule:
Flexible Scheduling Opportunities
Position Location:
Remote/Hybrid (commutable distance to home office in Fond du Lac, WI)
This position offers flexible remote/hybrid work scheduling and we are targeting candidates who are located within the commutable greater Fond du Lac, WI area for infrequent in-person meeting events. Visit us at societyinsurance.com to learn more.
Overview
Protecting our policyholders' dreams, passions, and livelihoods has a direct impact on the communities we serve. We work towards excellence, conduct ourselves with high integrity, and take our work seriously, but not ourselves. Small Details. Big Difference. Find out how you can make a difference with a career at Society.
Society Insurance is seeking an experienced Data Architect to join our IT team. The Data Architect leads the design and implementation of the enterprise data architecture, translating business and data strategy into scalable, governed, and high-performing data platforms and solutions. The role is accountable for delivering the data architecture vision and enabling execution of the data strategy, including data models, pipelines, platforms, and integration patterns that support analytics, reporting, and operational use cases. The Data Architect partners with business and IT stakeholders to ensure data is trusted, accessible, and aligned to enterprise architecture standards, while driving modernization and continuous improvement of data capabilities.
About the Role
  • Translates enterprise data strategy into architecture, platforms, and implementation roadmaps aligned to business and analytics needs.
  • Engages with business and IT stakeholders to gather requirements and define end-to-end data architecture solutions.
  • Defines and governs enterprise data architecture standards, including data models, pipelines, integration patterns, and platform design.
  • Designs and builds scalable data platforms and pipelines (data lakes, warehouses, cloud platforms) to support analytics and reporting.
  • Establishes and enforces data modeling standards (logical, physical, dimensional) across systems and domains.
  • Designs and optimizes data ingestion, transformation, and integration patterns (ETL/ELT) to ensure reliable data movement across systems.
  • Ensures data architecture supports data quality, lineage, metadata, and governance frameworks aligned to enterprise standards.
  • Collaborates with architects and engineers to define architecture enablers, guide solution design, and support implementation.
  • Works with data engineering and Agile teams to ensure architecture is implemented effectively across delivery cycles.
  • Leads evaluation and selection of data technologies, tools, and platforms, including proof-of-concepts (POCs).
  • Develops and maintains data architecture roadmaps, including modernization, consolidation, and performance optimization.
  • Drives modernization of legacy data and reporting platforms to improve scalability, performance, and usability.
  • Ensures alignment between data, application, and infrastructure architecture.
  • Participates in Agile/PI Planning to align teams to a shared technical direction and standards.
  • Acts as a technical expert and leader, mentoring teams and driving adoption of best practices across data architecture and engineering.
About You
  • You are analytical and connect data across systems to support business insight and decision-making.
  • You are creative and innovative and identifies better ways to organize, integrate, and govern data.
  • You are driven by an underlying curiosity and desire to know more about things, people, or issues.
  • You take ownership of challenges and drive improvements in architecture, standards, and processes.
  • You quickly apply new knowledge, tools, and ideas to solve business and data challenges.
  • You enjoy managing the efficiency, accuracy, and integrity of the work that you produce.
  • You effectively prioritize work, manage multiple responsibilities, and meet deadlines.
What it Will Take
  • Bachelor's degree in computer science, engineering, or related field.
  • 8+ years of experience in data architecture, data engineering, or data platform design.
  • Strong experience designing and implementing data pipelines, data lakes, and data warehouses.
  • Experience with cloud data platforms, (Azure Synapse, Data Factory, Fabric, Databricks, etc.)
  • Deep understanding of data modeling, ETL/ELT patterns, and data integration.
  • Experience implementing data architecture aligned to business and analytics needs.
  • Strong collaboration skills across business, architecture, and engineering teams.
  • Expertise in one or more of the following, but with versatility to grow in other areas:
  • Microsoft stack of Data Tools & Technologies (SQL, SSIS, TSQL)
  • Azure SQL Databases
  • Azure Blob storage
  • Azure App Services
  • Microsoft Azure Synapse, Data Factory & Fabric
  • Microsoft stack of Business Intelligence Tools (Power BI)
  • Data Modeling (Idera ERStudio)
  • Data Warehouse Design
  • Data Analytics Concepts
  • Strong organizational skills.
  • Demonstrated success in managing and/or completing projects.
  • SAFe Agile Delivery experience highly desirable.
What Society Can Offer
  • Comprehensive Benefits Package: Salary with bonus plan; health, dental, life, and vision insurance
  • Retirement: Traditional or Roth 401(k) Defined Contribution Plan PLUS Profit-Sharing Plan
  • Work-Life Balance: Company-paid holidays; flexible scheduling; PTO; telecommuting options
  • Education: Career Coaching; company-paid courses; student loan and tuition reimbursement
  • Community: Charitable Match; paid volunteer time; team sponsorships
  • Wellness: Employee Assistance Program; wellness initiatives/rewards; health coaching; and more

Society Insurance prohibits discrimination and harassment of any type against applicants and employees on the basis of race, color, religion, sex, national origin, age, handicap, disability, genetics, veteran status or military service, marital status or sexual orientation, gender identity or expression, or any other characteristic or status protected by federal, state or local laws. Society Insurance also provides reasonable accommodations to qualified individuals with disabilities in accordance with the requirements of the Americans with Disabilities Act and applicable state and local laws.

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