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Insurance Data Engineer Jobs in Rosemont, IL (NOW HIRING)

Senior Data Engineer

Chicago, IL ยท On-site

$139K - $166K/yr

AI-First Data Strategy for P&C Insurance Carrier | Lead Innovation in Property & Casualty Insurance Data Solutions We are seeking a Senior Data Engineer to spearhead our transition to a modern, first ...

New

Data Engineer

Chicago, IL ยท On-site

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

You'll work closely with data scientists, product teams, and other engineers to ensure that our ... Company-paid life insurance and short- and long-term disability coverage. * Plan for the Future ...

Data Engineer

Chicago, IL ยท On-site

$134K/yr

You'll work closely with data scientists, product teams, and other engineers to ensure that our ... Company-paid life insurance and short- and long-term disability coverage. * Plan for the Future ...

Data Engineer

Chicago, IL ยท On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive ...

Data Engineer

Chicago, IL ยท On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive ...

Data Engineer

Chicago, IL ยท On-site

$118K - $141K/yr

The Data Engineer is critical to the ongoing development and support of Data Warehousing projects ... Experience working within the insurance industry is highly preferred, including familiarity with ...

Data Engineer

Chicago, IL

$105K - $126K/yr

HUB is a global insurance and employee benefits broker, providing a boundaryless array of business ... Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA ...

Data Engineer

Chicago, IL ยท On-site

$175K - $225K/yr

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal ... paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive ...

Data Engineer

Chicago, IL ยท On-site

$105K - $126K/yr

HUB is a global insurance and employee benefits broker, providing a boundaryless array of business ... Position Summary We are looking for a Data Engineer - Enterprise Data & Analytics to join our DnA ...

Data Engineer

Chicago, IL ยท Hybrid

$100K - $115K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines ... Pet insurance * Base salary of $100,000-$115,000 plus discretionary bonus (exact base salary amount ...

Data Engineer

Chicago, IL ยท On-site

$100K - $115K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines ... Pet insurance * Base salary of $100,000-$115,000 plus discretionary bonus (exact base salary amount ...

Data Engineer

Libertyville, IL ยท On-site

$111K - $133K/yr

The Data Engineer builds, maintains, and continuously improves the pipelines and dbt projects that ... Health Insurance * Dental Insurance * Vision Insurance * Wellness Incentive Programs * Short and ...

Data Engineer

Romeoville, IL ยท On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Health, dental, vision, life and disability insurance * 401k retirement plan with company match

Data Engineer

Romeoville, IL ยท On-site

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high ... Health, dental, vision, life and disability insurance * Bonus plan * 401k retirement plan with ...

Data Engineer, Trading

Chicago, IL ยท On-site

$118K - $141K/yr

Benefits include medical insurance, retirement plan, PTO, etc. Salary: 80K+ DOE. Keywords: Chicago IL Jobs, Data Engineer Trading, Python, Linux, MS SQL Server, SQL Query Writing, Stored Procedures ...

Data Engineer

Chicago, IL ยท On-site

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... and services, banking, insurance and public administration sectors in the definition and ...

GCP Data Engineer

Chicago, IL ยท Hybrid

$118K - $141K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

GCP Data Engineer

Chicago, IL ยท Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Data Engineer

Chicago, IL

$130K - $150K/yr

We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients ... and services, banking, insurance and public administration sectors in the definition and ...

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Showing results 1-20

Insurance Data Engineer information

See Rosemont, IL salary details

$44.8K

$130.7K

$178.9K

How much do insurance data engineer jobs pay per year?

As of Sep 12, 2026, the average yearly pay for insurance data engineer in Rosemont, IL is $130,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $138,600.00 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 Rosemont, IL?

For Insurance Data Engineer jobs in Rosemont, IL, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Rosemont, IL look for?

The top searched job categories for Insurance Data Engineer jobs in Rosemont, IL are:

What cities near Rosemont, IL are hiring for Insurance Data Engineer jobs?

Cities near Rosemont, IL with the most Insurance Data Engineer job openings:

Senior Data Engineer

Chicago, IL โ€ข On-site

$139K - $166K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New


Job description

Company

Shared Services

Argo and Farm Family are specialty property and casualty insurance brands whose underwriting companies are wholly-owned subsidiaries of Clearbrook Holdings Inc. Argo and Farm Family partner with agents and brokers to provide insurance solutions that enable businesses to manage risks with confidence.


Job Description

AI-First Data Strategy for P&C Insurance Carrier | Lead Innovation in Property & Casualty Insurance Data Solutions

We are seeking a Senior Data Engineer to spearhead our transition to a modern, first, AI-first data strategy tailored to the unique demands of a property & casualty (P&C) insurance carrier.

Responsibilities

  • Lead the design and implementation of AI-powered data products and solutions that address business goals in underwriting, claims, risk management, and customer experience within the P&C insurance sector.
  • Define, develop, and register curated, reusable data products for lines of business such as auto, home, agriculture, commercial, and specialty insurance, enabling rapid insights and novel analytics across teams.
  • Collaborate with data analysts, data scientists, actuaries, underwriters, claims specialists, and business leaders to gather requirements and deliver scalable, secure, and reliable data solutions in compliance with insurance regulations.
  • Establish best practices for data engineering specific to P&C insurance, ensuring adherence to engineering excellence, data quality, governance, and privacy standards.
  • Mentor team members and foster a culture of innovation, continuous improvement, and cross-disciplinary collaboration.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • Extensive experience (5+ years) in data engineering, with proven expertise in technical development, data design, and implementation in the insurance industry, preferably within P&C.
  • Solid understanding of property & casualty insurance operations, including actuarial science, claims processing, underwriting, and pricing landscape.
  • Ability to multitask and manage competing priorities in a fast-paced, compliance-driven environment.
  • Experience implementing AI-first strategies and working with modern data platforms (e.g., Snowflake; Databricks, big data, analytics) relevant to P&C insurance.
  • Excellent communication and problem-solving skills, with the ability to translate complex business needs into actionable data solutions.

Preferred Skills

  • Experience with cloud-based data architectures commonly used in the P&C insurance industry (e.g., Snowflake, AWS).
  • Proficiency in Python, SQL, and industry-standard data engineering tools and frameworks.
  • Focuses on researching, building, and fine-tuning models from scratch or using frameworks.
  • Exposure with Generative AI, Large Language Models (LLMs), LangChain, and vector databases.
  • Experience with other advanced analytics approaches in property & casualty insurance for AI-centric products.
  • Knowledge of predictive modeling, telematics, geospatial analytics, and other advanced analytics applications in property & casualty insurance.

Join us to redefine how data empowers property & casualty insurance, accelerating speed to insight and enabling next-generation analytics and solutions powered by AI.

This is a 100% in-office position. Candidates must be able to work on-site at a designated company office during standard business hours.

The base salary range provided below is for hires in those geographic areas only and will be commensurate with candidate experience. Pay ranges for candidates in other locations may differ based on the cost of labor in that location. In addition to base salary, this position is eligible for an annual bonus based on company and individual performance as well as a generous benefits package.

  • Chicago Pay Range: $128,010 - $152,184
  • New York City Pay Range: $139,638 - $166,260
  • Omaha and Richmond Pay Range: $116,382 - $138,414

PLEASE NOTE:

Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.


If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.


Benefits and Compensation

We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.


Core Values

At Clearbrook our Core Values are Integrity, Collaboration, Pursuit of Excellence and Forward Thinking. These values reflect who we are today and who we aspire to be - guiding how we work, how we lead and how we succeed.