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

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 ...

Genesis10

Data Analyst - Hybrid

Milwaukee, WI · On-site

$60/hr

Collaborate with data engineers, analysts, and platform specialists to improve reporting solutions ... Voluntary Term Life Insurance * 401K * Sick Pay (for applicable states/municipalities) * Commuter ...

New

US Bank

Data Scientist

Brookfield, WI

$111K - $131K/yr

Collaborate with engineering teams to build scalable data solutions across cloud, data warehouse ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Trace-A-Matic

Manufacturing Engineer

Brookfield, WI

$33.17 - $48.08/hr

Medical, Dental, Vision Insurance * 401k with company contribution * Exciting, fast-paced ... data (engineering drawings, specifications, purchase orders, etc.) and create shop routings ...

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Showing results 21-40

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 Aug 17, 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.

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 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 August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $127,802 per year, or $61.4 per hour.

Curriculum Manager - Data Science and AI

DataCamp

Belgium, WI • On-site, Remote

Full-time

Medical, Dental, Vision

Re-posted 12 days ago

Job description

About DataCamp

Data and AI skills are critical for thriving today, and DataCamp is the platform that empowers everyone to learn them. We help individuals and Fortune 1000 companies close the data and AI skills gap through world-class learning, hands-on training, and a global community of expert instructors.

In this role, you'll collaborate with instructors and teams across curriculum, engineering, product, and marketing to expand and improve our Data Science and Data Engineering curriculum-helping millions worldwide upskill in data and AI.

About the role

This is an individual contributor role. You will collaborate with subject matter experts and leverage in-house-built cutting-edge AI tooling to scale high-quality course creation. Here's what your day-to-day will look like: 

  • Manage the entire content development lifecycle and deadlines.
  • Source and recruit top-tier subject-matter experts as instructors. 
  • Collaborate with instructors to create engaging content. 
  • Consistently leverage a variety of off-the-shelf and in-house AI systems to drive high-quality content production. 
  • Design, review, and create content on data science and data engineering. You will review content from a learner perspective, ensuring it is technically accurate and pedagogically effective.
  • Continuously assess course performance using learner feedback and engagement data to drive improvements.
  • Identify and prioritize existing curriculum gaps or new topics in data science and data engineering.

Qualifications:

  • A solid technical background in Python and SQL. A technical background in data engineering is a plus. 
  • Strong expertise in instructional design, with proven experience designing, structuring, and teaching technical courses, and creating interactive, hands-on learning experiences.
  • Graduate degree (Master's or PhD) in Computer Science, AI, Data Science, or a related STEM field, or equivalent industry experience with hands-on expertise in data science, machine learning, or software development.
  • Strong experience with agentic AI systems such as Claude Code, Cursor, Replit. You can demonstrate you've increased your output 10x with AI.

Bonus if you have the following

  • A deep understanding of the DataCamp course format-you have an intuitive understanding of what makes a great DataCamp course.
  • An existing network of potential subject matter experts who can become DataCamp instructors.
  • An extensive track record of building sophisticated AI systems and workflows.

Why Datacamp? 

Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you'll love being on our team:

  • Exciting Challenges - Tackle some of the most important educational challenges in Data & AI.
  • Work with the Best Instructors - Partner with top-tier instructors from leading organizations like Microsoft, Hugging Face, AWS, and more.
  • Competitive Compensation - We offer a competitive salary with attractive benefits.
  • Work Flexibility - Benefit from flexible working hours and a remote-friendly culture.
  • Professional Growth - Access to a yearly learning & development budget.
  • Global Culture - Join a team that values international collaboration.
  • Annual Retreats - Participate in international company retreats, fostering a global team spirit.
  • Tools & Setup - Receive an annual IT equipment budget to refresh your workspace.

Our competitive compensation package offers additional benefits. On top of your salary you will also receive extra legal benefits such as best-in-class medical insurance including dental and vision. Depending on your location additional benefits might be available to you.

Apply