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Insurance Data Engineer Jobs in Wisconsin (NOW HIRING)

Data Architect

Fond Du Lac, WI · On-site

$100 - $130/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 ...

WI · On-site

$119 - $159/hr

Create Alert Power BI - Data Engineering Lead (On-Site) Date: Aug 8, 2026 Location: Westlake, TX, ... insurance * short and long termdisability coverage * paid time off * employee assistance ...

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 ...

WI · On-site

$80 - $106/hr

... Data Migration Engineer who can help design and leads execution of complex data migration ... insurance, 401(k), and any other benefits to eligible employees. Note: No amount of pay is ...

Data Modeler (insurance Domain)

Madison, WI · On-site

$55.25 - $71.50/hr

Our company provides application analysis, design, development and programming, software ... Basic understanding and experience of the Insurance business domain Knowledge of ACORD data model ...

Business Data Analyst

Milwaukee, WI · On-site

$55K - $120K/yr

P & C Insurance experience * Familiarity with bureau / statistical reporting and insurance regulatory data. * Exposure to Agile delivery and tools such as Azure DevOps or Jira. * Bachelor's degree in ...

WI · On-site

$85 - $100/hr

The IT Network Engineer designs, builds, secures, and maintains the network infrastructure that ... Support compliance requirements tied to financial systems, crop insurance data, and vendor/partner ...

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Showing results 21-40

Insurance Data Engineer information

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 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 76% Full Time, and 24% Contract. Highlights an 81% In-person, and 19% Hybrid job distribution.

Assistant Data Solutions Engineer

West Bend Mutual Insurance Company

Madison, WI • On-site

$68K - $86K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


West Bend Insurance rating

9.5

Company rating: 9.5 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

7th of 315 rated insurance


Job description

Assistant Data Solutions Engineer
Job Locations US-WI-Madison
ID 2026-3722
Category Data Full-Time Remote/Hybrid Remote
Company Overview

Recognized as aMilwaukee Journal SentinelTop Workplace for 14 consecutive years, including three years of being honored as number one! Join us at West Bend, where we believe that our associates are our greatest asset. We hire talented individuals who are conscientious, dedicated, customer focused, and able to build lasting relationships. We create and maintain an environment where you feel a sense of belonging and appreciation. Your diversity of thought, experience, and knowledge are valued. We're committed to fostering a welcoming culture, offering you opportunities for meaningful work and professional growth. More than a workplace, we celebrate our successes and take pride in serving our communities.

Job Summary

Provides foundational support for the development and maintenance of business-facing datasets used for reporting and analytics. Works closely with and under the guidance of more experienced data engineers to learn and apply basic data engineering practices.

Work Location

This position offers both remote and hybrid work locations. Candidates who reside within 50 miles of an office location (West Bend, Madison, Appleton) will be offered a hybrid work schedule. Candidates who are fully remote (beyond 50 miles) may occasionally be asked to travel to an office location for in-person engagement activities such as team meetings, training and corporate events.

Responsibilities & Qualifications

Summary of Responsibilities

Provides foundational support for the development and maintenance of business-facing datasets used for reporting and analytics. Works closely with and under the guidance of more experienced data engineers to learn and apply basic data engineering practices. Assists with data preparation, validation, and documentation while developing technical skills, business knowledge, and familiarity with enterprise data standards.

Key Responsibilities

    Assists with the integration, development and maintenance of datasets using established tools and processes.
  • Supports data integration, validation, transformation, enrichment, and publication activities under guidance.
  • Performs basic data validation and engineering tasks and basic troubleshooting following defined standards and instructions.
  • Collaborates with data owners, stewards, engineers, analysts, and business partners to understand data requirements and usage.
  • Creates and updates documentation to support dataset clarity, accuracy, and maintainability.
  • Uses SQL, Python and other data tools to support data development and analysis tasks.
  • Learns and applies data engineering best practices, data governance standards, and business data concepts.
  • Demonstrates initiative in building technical skills, asking questions, and incorporating feedback.

Preferred Experience and Skills

  • 0-2 years of data engineering experience.
  • Knowledge of data concepts, data modeling, and data integration techniques.
  • Exposure to SQL and experience with at least one programming or scripting language such as Python, R, or SAS.
  • Familiarity with data engineering tools, platforms, or cloud-based data environments.
  • Basic understanding of software engineering principles and version control practices.
  • Ability to follow established standards and processes while contributing to continuous improvement.
  • Analytical, problem-solving, and attention-to-detail skills.
  • Effective written and verbal communication skills, with the ability to document work clearly.
  • Ability to work collaboratively as part of a team with guidance from senior engineers, while independently managing assigned tasks.

Preferred Education and Training

  • Bachelor's degree in computer science or related field, or equivalent combination of education and experience.
  • Internship or experience with Property & Casualty data is a plus.
Salary Statement

The salary range for this position is $68,933.00 - $86,166.00 Yr.

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, business needs, geographical location, and internal equity. Compensation decisions are made by West Bend and are dependent upon the facts and circumstances of each position and candidate.

Benefits

West Bend offers a comprehensive benefit plan including but not limited to:

  • Medical & Prescription Insurance
  • Health Savings Account
  • Dental Insurance
  • Vision Insurance
  • Short and Long Term Disability
  • Flexible Spending Accounts
  • Life and Accidental Death & Disability
  • Accident and Critical Illness Insurance
  • Employee Assistance Program
  • 401(k) Plan with Company Match
  • Pet Insurance
  • Paid Time Off. Standard first year PTO is 17 days, pro-rated based on month of hire. Enhanced PTO may be available for experienced candidates
  • Bonus eligible based on performance
  • West Bend will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act for Colorado employees, in accordance with its plans and policies.
EEO

West Bend provides equal employment opportunities to all associates and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, and promotion.


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