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

ULINE

Data Analyst

Kenosha, WI

VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

ULINE

Data Analyst

Milwaukee, WI

VBA (or similar) programming knowledge required. * Robotic Process Automation (RPA) experience ... Complete health insurance coverage and 401(k) with 6% employer match that starts day one!

Relevant Engineering

Electrical Engineer

Milwaukee, WI · Hybrid

$90K - $120K/yr

Health, dental, vision, & life insurance * Short- & long-term disability coverage * Cell phone ... Apply equipment nameplate information and verify data accuracy. * Identify installation ...

Foxconn WI

Diagnostic Engineer

Mount Pleasant, WI · On-site

Analyze system logs, test data, error codes, and hardware telemetry to identify potential failure ... Supplemental life insurance and long-term disability coverage options available. * 401K with ...

Foxconn WI

Diagnostic Engineer

Mount Pleasant, WI

Analyze system logs, test data, error codes, and hardware telemetry to identify potential failure ... Supplemental life insurance and long-term disability coverage options available. * 401K with ...

RFA Engineering

Mechanical Design Engineer

Milwaukee, WI · On-site

$70K - $85K/yr

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 ...

RFA Engineering

Mechanical Design Engineer

Milwaukee, WI · On-site

$70K - $85K/yr

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 ...

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Showing results 41-60

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.

Senior Data Scientist

Rockwell Automation, Inc.

Milwaukee, WI • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 20 days ago

Rockwell Automation rating

7.9

Company rating: 7.9 out of 10

Based on 42 frontline employees who took The Breakroom Quiz

203rd of 490 rated machine equipment manufacturers

Job description

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that's you we would love to have you join us!
Job Description
Job Description
The Data Science & Innovation Organization is building the analytical engine that powers our AI product portfolio. As Senior Data Scientist, Agentic AI Products, you will own the data and modeling layer that our agentic systems depend on. This role sits directly alongside the Senior Agentic AI Engineer, who designs and deploys the reasoning, orchestration, and tool-use layers of our AI agents. Where that role builds the agent architecture, you build the empirical foundation. The empirical foundation consists of curated datasets, predictive models embedded as agent tools, statistical rigor for evaluation, and the feedback infrastructure that makes agents measurably better over time. Together, these two roles form the core of our applied AI capability.
Primary Responsibilities:
Dataset creation & curation
  • Build high-quality labeled datasets from operational data sources including structured databases, event logs, sensor streams, and document repositories
  • Define feature engineering strategies for time-series, event-based, and unstructured data

Predictive model development
  • Build, validate, and maintain predictive models (e.g. anomaly detection, classification, forecasting) that serve as callable tools within agentic AI systems
  • Apply rigorous statistical methods: hypothesis testing, cross-validation, and confidence interval estimation to ensure model outputs are trustworthy when surfaced by an agent

Agent data interfaces & RAG grounding
  • Own the data pipeline that populates structured knowledge bases used for retrieval-augmented generation in agentic products
  • Build evaluation frameworks to measure retrieval quality and factual accuracy against domain specific ground-truth datasets

Experimentation & statistical rigor
  • Apply relevant causal inference techniques (e.g. synthetic controls, difference-in-difference) to isolate causal effects in operational environments
  • Serve as the statistical conscience of the AI team: design measurement frameworks before shipping, and build internal culture around responsible AI performance claims

Cross-functional enablement
  • Collaborate with product managers to translate domain use cases into well-formed ML problem statements
  • Work with AI engineers and data platform teams to align on feature store standards and machine learning best practices that support reliable agent tool integration

The Essentials - You Will Have:
  • Bachelor's Degree in relevant field.
  • Legal authorization to work in the US is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

The Preferred - You Might Also Have:
Core data science foundations
• 5+ years building end-to-end predictive models in production: from raw data through feature engineering, model training, evaluation, and deployment
• Applied statistics: hypothesis testing, Bayesian methods, time-series modeling, uncertainty quantification, and understanding of common ML evaluation failure modes
• Proficiency in Python (pandas, scikit-learn, PyTorch or equivalent); advanced SQL; familiarity with cloud data platforms (AWS, GCP, or Azure)
AI agent and RAG data experience
• Direct experience building datasets and evaluation pipelines for conversational AI, chatbot, or agent systems
• Understanding of how predictive model outputs (scores, probabilitie
What We Offer:
  • Health Insurance including Medical, Dental and Vision
  • 401k
  • Paid Time off
  • Parental and Caregiver Leave
  • Flexible Work Schedule where you will work with your manager to enjoy a work schedule that can be flexible with your personal life.
  • To learn more about our benefits package, please visit at www.raquickfind.com.

This position is part of a job family. Experience will be the determining factor for position level and compensation.
At Rockwell Automation we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right person for this or other roles.
#LI-Hybrid
#LI-LifeAtRok
#LI-SB1
We are an Equal Opportunity Employer including disability and veterans.
If you are an individual with a disability and you need assistance or a reasonable accommodation during the application process, please contact our services team at +1 (844) 404-7247.
Rockwell Automation's hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

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About Rockwell Automation

Sourced by ZipRecruiter

Rockwell Automation is a global technology leader focused on helping the world's manufacturers be more productive, sustainable, and agile. With more than 25,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

Industry

Industrial automation equipment manufacturing

Company size

10,000+ Employees

Headquarters location

Milwaukee, WI, US

Year founded

1903

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