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

MARS IT

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Our client is an insurance firm looking for high-quality talent to make a difference. They are ... The Senior Data Engineer (DevOps/AWS Migration) - HR workforce data analytics: is responsible for ...

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

$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!

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 ...

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 ...

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Showing results 1-20

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 7, 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 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.
Data Engineer

Data Engineer

MARS IT

Milwaukee, WI • On-site

$112K - $135K/yr

Other

Posted 7 days ago

Job description

MARS Solutions Group is looking for an experienced Data Engineer. Our client is an insurance firm looking for high-quality talent to make a difference. They are known to respect a traditional work week and often extend contracts for added job security and stability.

The Senior Data Engineer (DevOps/AWS Migration) - HR workforce data analytics: is responsible for designing, developing, deploying, and supporting cloud based data and software solutions across the full software development lifecycle, adhering to centrally governed CI/CD pipelines and company development standards. This role partners closely with cross functional team members to troubleshoot and resolve technical issues, conduct thorough code reviews, and contribute to architectural and technical decision making while continuously recommending improvements to development and integration practices. The engineer applies strong expertise in AWS, Python, Spark, SQL, data integration patterns (ETL/ELT, event streaming, and real time processing), infrastructure as code, containerization, and DevOps methodologies to deliver reliable, scalable, and high quality solutions, effectively communicating complex concepts to both technical and non technical audiences and maintaining a strong focus on data quality, operational excellence, and production stability.

Primary Duties & Responsibilities

Develop and deploy applications following the software development life cycle within the guidelines and controls of company development pipeline process

Troubleshoot and resolve technical issues that may arise during the development and deployment of technical projects

Conduct thorough code reviews to ensure compliance with established coding standards and best practices

Has an evolving understanding of system-wide architectural challenges

Contribute to technical discussions and decision-making processes within the team

Interacts and aligns with members of the team on technical approach

Recommend efficiencies to current established development and continuous integration practices

Qualifications

Bachelor's Degree or equivalent experience

4+ years professional AWS experience

4+ years of experience working with modern engineering tools, languages and practices

Proven track record of delivering significant and impactful technology solutions

2+ years' professional experience with Data Integration Patterns and Tooling including ELT/ETL, EII, Replication, Event Streaming and Virtualization to support batch and real-time data needs.

Code Knowledge: Python, Apache Spark, SQL.

Experience with Agile methodologies/DevOps environment.

Strong understanding of database structures, theories, principles, and practices.

Strong understanding of Data Quality and Data Concepts.

Experience with cloud-based development, including PaaS and SaaS, and Docker and/or

Kubernetes, Infrastructure as Code and Terraform

Exposure to and understanding of CICD pipelines. Ours are centrally governed

Exposure/Understanding of automated testing concepts: unit testing and Test-Driven Development

Ability to communicate effectively to both technical and non-technical audiences

Understanding of design patterns and architecture

Nice to Haves:

Strong passion for operational excellence, problem-solving, and ownership in achieving challenging objectives

Demonstrated commitment to high standards of reliability, performance, and production stability in team-owned applications and services

Experience refining features, defining solutions, and decomposing work into actionable stories for agile teams

Ability to remain focused and overcome challenges to deliver features within committed timelines

Track record of identifying opportunities for continuous improvement and leading initiatives that enhance team performance

Bachelor's Degree or equivalent experience

3 5 years of professional software development experience

3 5+ years working with modern software engineering tools such as Kubernetes and AWS Lambda

Proficiency in Domain Data Modeling and API-first design practices

Proven track record of designing and delivering significant, impactful technology solutions

Strong communication skills with the ability to convey complex technical concepts to both technical and non-technical audiences, adapting communication style and detail as appropriate

Strong understanding of Data Quality and Data Concepts

Experience with cloud-based development, including PaaS and SaaS, and containerization tools such as Docker and/or Kubernetes

Familiarity with centrally governed CICD pipelines

Understanding of automated testing concepts, including unit testing and Test-Driven Development

About MARS Solutions Group: MARS Solutions Group provides a range of opportunities for meaningful work by understanding that employment fit is a combination of people, process, and technology. We leverage our experienced and compassionate team to bring humanity to matching you with the right advanced technology role, and stay connected with you to help you attain your professional goals.

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