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

Reply

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 ...

Contact Government Services, LLC

Data Engineer

Chicago, IL

$118K - $141K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Gerber Collision & Glass

Sr. Data Engineer

Elmhurst, IL

$114K - $136K/yr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering ... Employer Paid Short-Term Disability & Life Insurance * Additional Voluntary Life Insurance

The Boyd Group

Sr. Data Engineer

Elmhurst, IL

$114K - $136K/yr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering ... Insurance effective Day 1 401(k) Retirement Plan with company match Employer Paid Short-Term ...

Genesis10

Entry Level Data Engineer

Chicago, IL · On-site

$60K/yr

... insurance - Dev10 is your opportunity to upskill and launch a career in Data Engineering. Dev10 ... provides a pathway for motivated learners to gain real-world experience while developing technical ...

Genesis10

Entry Level Data Engineer

Chicago, IL

$50K - $60K/yr

Now hiring for our Data Engineer cohort starting in November 2026. To apply, please submit a formal ... OR 12+ months of professional work experience in finance, healthcare, banking, insurance ...

The Boyd Group

Sr. Data Engineer

Elmhurst, IL · On-site

$114K - $136K/yr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering ... Insurance effective Day 1 401(k) Retirement Plan with company match Employer Paid Short-Term ...

Mobile Auto Solutions, LLC

Sr. Data Engineer

Addison, IL · On-site

$114K - $137K/yr

Job Summary The Senior Data Engineer will serve in a senior role within the Data Engineering ... Employer Paid Short-Term Disability & Life Insurance * Additional Voluntary Life Insurance

Magid Glove & Safety

Data Engineer

Romeoville, IL · Hybrid

$116K - $140K/yr

Job Summary The Data Engineer plays a crucial, cross-functional role here at Magid. This is a high-visibility role where your efforts will have impact on all levels of the organization. Our work ...

Vantage Group Holdings Ltd

AVP, Data Engineer

Chicago, IL · On-site

$175K - $210K/yr

Vantage provides specialty re/insurance through its operating subsidiaries in Bermuda and the U.S ... About the role: At Vantage, the AVP, Data Engineer is mainly responsible for ingesting and ...

vantagerisk

AVP, Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

About the role: At Vantage, the AVP, Data Engineer is mainly responsible for ingesting and ... insurance business from the ground up. Our Vantage Values Do What's Right - be a force for good ...

Gerber Payroll Services, Inc.

Sr. Data Engineer

Addison, IL · On-site

$114K - $137K/yr

Job SummaryThe Senior Data Engineer will serve in a senior role within the Data Engineering ... Insurance effective Day 1401(k) Retirement Plan with company matchEmployer Paid Short-Term ...

Eliassen Group

Lead Data Engineer

Chicago, IL · On-site

$75 - $85/hr

The engineer will partner across Product, Data Science, Security, Privacy, and Platform Engineering ... insurance. Rate: $75.00 to $85.00/hr. w2 Responsibilities: * Lead design, implementation, and ...

Grainger Businesses

Data Engineer III

Lake Forest, IL · On-site

$104K - $174K/yr

Medical, dental, vision, and life insurance plans with coverage starting on day one of employment ... Position Details Grainger is seeking a Data Engineer III to join our Machine Learning Engineering ...

Grainger Businesses

Data Engineer III

Lake Forest, IL · Hybrid

$104K - $174K/yr

Medical, dental, vision, and life insurance plans with coverage starting on day one of employment ... Position Details Grainger is seeking a Data Engineer III to join our Machine Learning Engineering ...

ClifyX

Automation Test Engineer-Data & Platform

Chicago, IL · On-site

$47.50 - $62.75/hr

Chicago, IL (Hybrid) Duration: 12+ Months Contract Automation Test Engineer - Data & Platform We are hiring an Automation Engineer to build scalable automation for a global insurance data platform.

Grainger Businesses

Data Engineer III

Lake Forest, IL · Hybrid

$104K - $174K/yr

Medical, dental, vision, and life insurance plans with coverage starting on day one of employment ... Position Details Grainger is seeking a Data Engineer III to join our Machine Learning Engineering ...

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Showing results 21-40

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Chicago, IL

Insurance Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do insurance data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for insurance data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 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 Chicago, IL?

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

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

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

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

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

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Chicago, IL as of September 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Hybrid job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Data Engineer

Chicago, IL

Reply
Software Development • 11 - 50 employees
Learn more about Replyexternal

$130K - $150K/yr

Full-time

Re-posted 20 days ago

Key responsibilities

  • Work directly with clients to understand business goals, data challenges, and technical requirements

  • Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources

  • Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases

Job description

Valorem Reply is an award-winning digital transformation firm focused on delivering solutions around data-driven enterprise, IT modernization, customer experience, product transformation and digital workplace by leveraging the power of Microsoft technologies.  We provide hyper-scale and agile delivery of unique digital business services, strategic business models and design-led user experiences. Our innovative strategies and solutions securely and rapidly transform the way our clients do business.
 
We are seeking a Data Engineer to design, build, and optimize modern data platforms for our clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. This role is ideal for someone who combines deep technical expertise with strong consulting skills — someone who can engage directly with clients, understand business needs, translate requirements into scalable technical solutions, and communicate clearly with both technical and non-technical stakeholders.
 
As a member of the team, you will contribute to solution architecture and help deliver high-quality modern data solutions that drive measurable business value. The ideal candidate is equally comfortable discussing lakehouse architecture with engineers, facilitating design sessions with client stakeholders, and presenting recommendations to leadership teams.
Responsibilities
•    Work directly with clients to understand business goals, data challenges, and technical requirements
•    Lead or support discovery sessions, requirements workshops, architecture discussions, and solution reviews
•    Develop and optimize batch and streaming data ingestion pipelines from enterprise applications, databases, APIs, and file-based sources.
•    Implement medallion/lakehouse architectures, dimensional models, and data transformation workflows to support analytics and reporting use cases
•    Engineer solutions using technologies such as PySpark, Spark SQL, SQL, Python, Delta Lake, and orchestration tools within Azure and Databricks
•    Recommend best practices for data modeling, governance, lineage, monitoring, DevOps, and security
Minimum Requirements
•    Bachelor’s degree in computer science or related field
•    6+ years of experience in data engineering, data platform development, or cloud data solutions
•    3+ years of hands-on experience with Azure Databricks, Apache Spark, or similar distributed data processing technologies
•    Expertise with Microsoft Azure infrastructure and data resources, including Fabric, Azure Data Factory, Synapse Data Analytics, Power BI, Azure SQL, Azure Cosmos DB, and Azure Database for PostgreSQL
•    Expertise with Databricks, specifically the ability to design enterprise-level strategy and architecture including Unity Catalog, data warehousing, data sharing, and Mosaic AI 
•    DevOps for data, GitHub, automated testing, and working with containers (AKS, Docker, registries, etc.)
•    Excellent communication skills, ability to clearly explain concepts to teammates and customers, and quickly learn new concepts and technologies
Preferred Qualifications
•    Experience working directly with clients, business stakeholders, or cross-functional teams in a consulting or professional services environment.
•    Experience building data agents, including NLQ, Databricks Genie, and Fabric Data Agents
•    Experience with data management, including data governance, data security, master data management, and familiarity with different industry security requirements 
•    Broad experience with data/reporting tools, architectures, cloud vendors, and data/AI concepts other than Microsoft
About Reply
 
Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services.
 
The base compensation range for this full-time position is between $130,000 - $150,000 plus benefits. Compensation decisions are supported through market data, where regional variances may exist based on cost of labor. We also take into consideration prior experience, relevant skills, education and/or training, certifications and, as applicable, other required qualifications. If you have questions regarding compensation, the talent acquisition team can provide relevant details during the interview process.
 
Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.