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Insurance Data Engineer Jobs in Milwaukee, WI (NOW HIRING)

Rural Mutual Insurance

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

Description Rural Mutual Insurance is looking for an experienced and motivated data professional to ... As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ...

Old National Bank

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 ...

ULINE

Senior Data Engineer

Kenosha, WI · On-site

$96K - $148K/yr

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!

Northwestern Mutual

Senior Data Engineer

Milwaukee, WI · Remote

$113K - $222K/yr

The Senior Data Engineer at Northwestern Mutual Life Insurance Company in Milwaukee, Wisconsin will apply engineering best practices in order to analyze, design, develop, deploy and support software ...

IAT Insurance Group

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 ...

Iatinsurancegroup

Business Data Analyst

Milwaukee, WI · On-site +1

$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 ...

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 ...

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Milwaukee, WI

Insurance Data Engineer information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

How much do insurance data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for insurance data engineer in Milwaukee, WI is $127,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

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 Milwaukee, WI? For Insurance Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Milwaukee, WI look for? The top searched job categories for Insurance Data Engineer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Insurance Data Engineer jobs? Cities near Milwaukee, WI with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Milwaukee, WI 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, with an average salary of $127,802 per year, or $61.4 per hour.
Data Engineer

Data Engineer

Rural Mutual Insurance

Milwaukee, WI • On-site, Remote

$112K - $135K/yr

Full-time

Posted 10 days ago

Job description

Description
Rural Mutual Insurance is looking for an experienced and motivated data professional to play a critical role in the design, development, and maintenance of the company's data warehouse and related data marts. As a Data Engineer, you will be responsible for implementing and optimizing data pipelines, ensuring data quality, and building data models that support analytics and business intelligence initiatives. The ideal candidate will have a deep understanding of data engineering and data modeling principles, with a proven track record of designing, implementing, and maintaining robust and scalable data pipelines and data models on cloud technologies.
This is a remote position with periodic on-site presence required. Candidates must live and work in Wisconsin and have eligibility to work in the United States without sponsorship.
If you're ready to be part of a team that values your expertise and encourages your professional growth, apply today!
Rural Mutual, a leading property and casualty insurance company based in Wisconsin, is well known for its financial strength and longevity in the insurance industry. Our reputation in the marketplace ensures stability and opens up numerous growth opportunities for our employees. Committed to our employees and their families, we offer a suite of benefits promoting health and wellness. We prioritize work-life balance, offering flexible start times as well as summer hours for this role. Join our experienced and talented team of IT professionals dedicated to excellence, innovation, and collaboration.
Responsibilities
$42
Qualifications
$43

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