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

... with data engineering teams. Responsibilities : • Testing data validation scenarios, data ... Qualifications : Required : • Insurance domain knowledge is Most • Main Frame Background ...

Experience with parts data management systems such as Windchill PLM and SAP ERP (BOMs, part ... Health and Dental Insurance * Health Savings Account * TelaDoc: Virtual Health Care * Vision ...

Other benefits: optional legal and pet insurance, transportation savings and more How you'll make ... engineering, capacity and infrastructure project planning and oversight, including project ...

Data Store Strategy, Architecture, and Standards * Define and maintain the strategy, standards, and ... Comprehensive medical, dental, and vision coverage, plus life and disability insurance. A robust ...

The Agentic Ops Engineer operates as a cross-team specialist responsible for the health ... data, processes, people, and customer experiences. More than 15,000 insurers, MGAs, agencies, and ...

AgenticOps Engineer

WI · On-site +1

Description The Agentic Ops Engineer operates as a cross-team specialist responsible for the health ... data, processes, people, and customer experiences. More than 15,000 insurers, MGAs, agencies, and ...

Monitor, analyze, report and effectively use quality data * Develop and prioritize supplier ... Basic life insurance and short-term disability coverage provided by employer. * Supplemental life ...

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Showing results 1-20

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 13, 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:
Infographic showing various Insurance Data Engineer job openings in Milwaukee, WI as of July 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 80% In-person, 14% Hybrid, and 6% Remote job distribution, with an average salary of $127,802 per year, or $61.4 per hour.
Senior Software Engineer

Senior Software Engineer

Northwestern Mutual Life Insurance Company

Milwaukee, WI • On-site, Remote

$113K - $222K/yr

Full-time

Re-posted 18 days ago


Northwestern Mutual rating

8.0

Company rating: 8.0 out of 10

Based on 73 frontline employees who took The Breakroom Quiz

145th of 281 rated insurance


Job description

The Senior Software Engineer at Northwestern Mutual Life Insurance Company in Milwaukee, Wisconsin will leverage FinTech background to facilitate the design and development of integrated solutions, modernizing, consolidating, and coordinating independently designed applications to meet business needs. Design and develop extracts within vendor systems for consumption by Snowflake via Snowpipe and DBT. Develop comprehensive solutions within Snowflake. Design and develop modern applications in a variety of frameworks (Python, React/Redux, Typescript, and SQL). Write complex SQL queries to pull data for systems processing and analysis efforts. Design serverless components for new-real-time integration between data products. Design and develop computational engines to perform complex investment analysis and calculations. Create infrastructure and deployment pipelines leveraging Terraform and AWS services. Create data sets and dashboards to meet reporting requirements of business. Adhere to and manage DevOps best practices to ensure cost optimization, performance optimization and infrastructure maintenance. May telecommute from anywhere in the U.S. Salary $113,922- $222,300 per year.

Minimum Requirements: Bachelor's Degree in Electronic Engineering, Software Engineering, or a related field plus four years of experience as a software developer or a related occupation. Four years of experience must include three years of experience with each of the following: (1) data mining and business intelligence tools; (2) ETL development; (3) CI/CD concepts and tools (Gitlab, Unit Testing, Change Management, Infrastructure as code); (4) modern visualization languages and libraries including React, Matplotlib, Plotly, and D3; and (5) Business intelligence software including PowerBI.

Interested candidates send resume to apply@northwesternmutual.com. Reference code 172 in the subject line.


We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. If noted, this is standard pay structure for this position.


Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now!


Northwestern Mutual is an equal opportunity employer that welcomes talented individuals of all backgrounds. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.


If you work or would be working in California, Colorado, New York City, Washington or outside of a Corporate location, please click here for additional information pertaining to compensation and benefits.


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About Northwestern Mutual

Sourced by ZipRecruiter

Northwestern Mutual has been helping families and businesses achieve financial security for over 160 years through a distinctive planning approach that integrates risk management with wealth accumulation, preservation, and distribution. With more than $290 billion in assets, $30 billion in revenues and more than $1.9 trillion worth of life insurance protection in force, Northwestern Mutual delivers financial security to more than 4.6 million clients. People are the power behind Northwestern Mutual, and diversity makes us better. We are committed to reflecting and serving the marketplace. We do so by attracting and improving the engagement of those who bring their outstanding perspectives, ideas, and beliefs.

Industry

Finance and insurance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US