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

Hinshaw & Culbertson

Lead Data Engineer

Chicago, IL · On-site +1

$140K - $180K/yr

Lead Data Engineer Firm Overview Hinshaw & Culbertson LLP is a national law firm with more than 500 ... insurance, financial services, healthcare, and professional services, as well as to government ...

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 ...

Gerber Collision & Glass

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 ... Employer Paid Short-Term Disability & Life Insurance * Additional Voluntary Life Insurance

Mobile Auto Solutions, LLC

Sr. Data Engineer

Addison, IL · On-site

$130 - $145/hr

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

New

Contact Government Services, LLC

Data Engineer

Chicago, IL · On-site

$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 ...

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 ... Health, dental, vision, life and disability insurance * Bonus plan * 401k retirement plan with ...

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 ...

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 ...

ULINE

Senior Data Engineer

Glenview, IL · On-site

$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!

The Hartford

Lead Data Engineer - Hybrid

Chicago, IL · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE 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 ...

The Hartford

Lead Data Engineer - Hybrid

Chicago, IL · Hybrid

$117K - $175K/yr

Sr Data Engineer - GE07BE 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 ...

Kforce Technology Staffing

Senior Data Engineer

Naperville, IL · On-site

$105K - $142K/yr

Kforce has a client that is seeking a Senior Data Engineer in Naperville, IL. Key Responsibilities ... We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and ...

Next Step Systems

Data Engineer, Python & ETL

Chicago, IL · On-site

$118K - $141K/yr

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

Omnicom

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Data Engineering WHO WE ARE: We are RAPP - world leaders in activating growth with precision and ... Benefits for this role include health/vision/dental insurance, 401(k), stock options, Healthcare & ...

Bcbsa

Data Engineer (AI/ML)

Chicago, IL · On-site

$118K - $141K/yr

Summary The Data Engineer will design, build, and optimize scalable, secure data pipelines that ... dental/vision insurance, generous 401(k) matching, lifestyle spending account and many other ...

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Showing results 21-40

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

Insurance Data Engineer information

See Lombard, IL salary details

$43.8K

$127.7K

$174.7K

How much do insurance data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for insurance data engineer in Lombard, IL is $127,652.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,700.00 and $135,300.00 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 Lombard, IL?

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

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

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

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

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

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Lombard, IL as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 21% Part Time, 1% Temporary, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $127,652 per year, or $61.4 per hour.

Lead Data Engineer

Hinshaw & Culbertson

Chicago, IL • On-site, Remote

$140K - $180K/yr

Full-time

Re-posted yesterday

Job description

Lead Data Engineer
Firm Overview
Hinshaw & Culbertson LLP is a national law firm with more than 500 attorneys and professionals across the United States. Founded in 1934 and headquartered in Chicago, the firm provides sophisticated legal counsel to clients in highly regulated industries, including insurance, financial services, healthcare, and professional services, as well as to government agencies, educational institutions, and nonprofit organizations. Learn more at hinshawlaw.com.
Job Summary
The Lead Data Engineer is a hands-on technical leader responsible for designing, building, and operating enterprise-grade data integration and analytics platforms across the firm. This role owns core data pipelines, data models, and production data operations, and establishes engineering standards that improve reliability, data quality, and delivery speed. The Lead Data Engineer partners closely with IT, Information Security, Information Governance, Finance, Knowledge Management, Marketing/Business Development, and practice groups to reduce data silos, clarify data ownership, and deliver trustworthy data for reporting, analytics, and emerging AI initiatives.
Essential Job Functions
  • Enterprise Data Integration & Pipelines: Design, build, and maintain robust ETL/ELT pipelines that integrate data from core firm systems (finance, HR, CRM, document management, and other enterprise platforms). Ensure data is delivered accurately, securely, and on schedule.
  • Data Architecture & Modeling: Define and enforce data architecture standards, including data models, schemas, and storage patterns for cloud-based data warehouse and lakehouse platforms. Optimize for performance, scalability, and analytical use.
  • Cloud Data Platform Management: Lead the implementation and operation of Microsoft Azure-based data services, including Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure Synapse Analytics. Manage development, test, and production environments with focus on cost efficiency and reliability.
  • Own the firm's enterprise data warehouse and lakehouse platforms, including data models, ingestion pipelines, performance, reliability, and ongoing operational health."
  • DevOps / DataOps Practices: Implement source control, branching strategies, CI/CD pipelines, automated testing, deployment workflows, monitoring, and alerting for data pipelines and related code.
  • Production Data Operations: Oversee scheduling, execution, reconciliation, and monitoring of production data workflows. Proactively identify and resolve failures, data quality issues, and performance bottlenecks before they impact reporting or operations.
  • Data Governance & Quality: Partner with Information Governance and Security teams to implement data quality standards, lineage documentation, reconciliation processes, and stewardship models. Help define and enforce "source of truth" ownership for critical datasets.
  • Cross-Functional Collaboration: Work with business stakeholders to translate requirements into technical solutions and communicate complex data concepts in clear, non-technical terms. Ensure solutions align with firm strategy and operational priorities.
  • Security & Compliance: Ensure data integration and storage solutions comply with firm security policies, client confidentiality requirements, and applicable regulatory obligations. Implement access controls, encryption, and auditing where appropriate.
  • Innovation & Continuous Improvement: Evaluate emerging data, analytics, and AI capabilities and lead proof-of-concepts that improve reliability, usability, and business value.
  • Technical Leadership & Mentorship: Provide design guidance, code reviews, and technical coaching to junior engineers or database professionals as applicable. Establish repeatable patterns and standards.
  • Project & Vendor Management: Lead data-focused projects from initiation through delivery, coordinating internal teams and external vendors/consultants. Ensure knowledge transfer and long-term sustainability.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 8+ years of hands-on experience in data engineering, ETL/ELT development, and data integration.
  • 3+ years of experience designing and operating cloud-based data platforms (Microsoft Azure preferred).
  • Strong MS SQL skills and experience with relational database design, development, and performance tuning (SQL Server preferred).
  • Experience building reliable production data pipelines, including monitoring, alerting, and reconciliation.
  • Experience with source control and deployment practices for data workflows (e.g., Git and CI/CD pipelines).
  • Excellent written and verbal communication skills, including ability to explain technical concepts to non-technical audiences.
  • Ability to handle sensitive and confidential information with discretion and professionalism.
  • Availability for occasional after-hours work for major releases or production incidents.

Preferred Skills
  • Advanced experience with Azure data services (ADLS, Databricks, Azure Data Factory, Synapse).
  • Experience implementing enterprise data warehouses, data marts, and lakehouse architectures.
  • Experience with data integration tools such as Azure Data Factory, Talend, Boomi, or similar platforms.
  • Strong scripting and programming skills (Python, PowerShell, and/or .NET/C#) for data processing and custom integrations.
  • Familiarity with business intelligence and analytics tools such as Power BI or Tableau.
  • Experience with data governance frameworks, data quality controls, data cataloging, and lineage documentation.
  • Experience in a law firm or professional services environment is a plus, including familiarity with systems such as Elite 3E, Aderant, iManage, NetDocuments, Intapp/InterAction, or similar platforms.
  • Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer Associate) are a plus.

Why Join Hinshaw?
At Hinshaw, we foster a collaborative and inclusive work culture. We offer competitive compensation, a comprehensive benefits program, and opportunities to work on enterprise-scale technology initiatives that directly support the firm's strategic objectives. The Lead Data Engineer will play a critical role in shaping the firm's data foundation and enabling analytics, reporting, and innovation across the organization.
Equal Opportunity Statement
Hinshaw & Culbertson LLP is an Equal Opportunity Employer. The firm is committed to providing equal employment opportunities and reasonable accommodations to qualified individuals with disabilities.

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