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

Data Engineer

Chicago, IL · 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

Working within a lean, high-impact team, you will collaborate closely with solution engineers and ... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ...

Data Engineer

Libertyville, IL · On-site

$75K - $105K/yr

Data Engineer What we are looking for: Aldridge is seeking an experienced and dedicated Data ... Health Insurance * Dental Insurance * Vision Insurance * Wellness Incentive Programs * Short and ...

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 ...

New

Data Engineer

Chicago, IL · 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 ...

New

Data Engineer

Chicago, IL · 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 · 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 · 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

$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 · 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 · On-site

$125K - $140K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines ... Pet insurance * Base salary of $125,000- $140,000 plus discretionary bonus (exact base salary ...

Data Engineer

Chicago, IL · Hybrid

$125K - $140K/yr

A Data Engineer builds or maintains data management systems, such as databases and data pipelines ... Pet insurance * Base salary of $125,000- $140,000 plus discretionary bonus (exact base salary ...

Data Engineer

Libertyville, IL · 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, Trading

Chicago, IL · 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 ...

GCP Data Engineer

Chicago, IL · 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 ...

GCP Data Engineer

Chicago, IL · 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 ...

Data Engineer

Chicago, IL · 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 ...

Data Engineer

Chicago, IL · 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 ...

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 ...

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 ...

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Showing results 1-20

Insurance Data Engineer information

See Northbrook, IL salary details

$45.2K

$131.7K

$180.2K

How much do insurance data engineer jobs pay per year?

As of Aug 28, 2026, the average yearly pay for insurance data engineer in Northbrook, IL is $131,661.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,200.00 and $139,600.00 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 job categories do people searching Insurance Data Engineer jobs in Northbrook, IL look for?

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

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

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

Infographic showing various Insurance Data Engineer job openings in Northbrook, IL as of August 2026, with employment types broken down into 1% As Needed, 66% Full Time, 29% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $131,661 per year, or $63.3 per hour.

Data Engineer

Guidehouse

Chicago, IL • On-site

$89K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 9 days ago


Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

35th of 72 rated business consultants


Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:
Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and maintaining data pipelines, AI solutions, and analytics platforms. The ideal candidate will have hands-on experience with modern data engineering tools, AI solutions, CI/CD, and version control, and will collaborate with cross-functional teams to deliver high-quality, scalable data solutions.

  • Design, develop, test and maintain data pipelines and ETL processes for ingesting, transforming, and loading data from diverse sources (SQL, R, Python).

  • AI experience with prompt engineering, machine learning, agentic AI and RAG concepts

  • Build and optimize data architectures and models to support analytics, reporting, and operational needs.

  • Implement and manage CI/CD pipelines for data engineering workflows using tools such Git.

  • Develop and deploy cloud-based solutions leveraging Azure Functions, and containerization (Docker, Kubernetes).

  • Collaborate with DBAs and application developers to design and integrate data models, stored procedures, and APIs.

  • Ensure data quality and integrity through validation, monitoring, and logging.

  • Successfully juggle multiple tasks across different priorities.

  • Troubleshoot and resolve issues in production environments, ensuring high availability and reliability.

  • Document data flows, processes, and technical solutions for knowledge sharing and compliance.

  • Stay current with emerging technologies and best practices in data engineering, cloud, and DevOps.


What You Will Need:

  • U.S. Citizenship/ Green Card is required and Must be able to OBTAIN and MAINTAIN a Federal or DHS "PUBLIC TRUST".

  • A bachelor's degree is required.

  • FIVE (5) years of experience in data engineering, software development, or related roles.

  • Experience in programming languages and technologies, including Java, Python, SQL, and PySpark, as well as API development (RESTful and SOAP).

  • Experience with Co-Pilot and CodeX.

  • Experience designing and developing data pipelines and ETL processes.

  • Extensive experience with relational and NoSQL databases, such as MySQL, PostgreSQL, SQL Server, and MongoDB, including stored procedure development.

  • Experience working with Databricks.

  • Experience with CI/CD tools and pipelines, such as Gi and, GitHub.

  • Experience operating in Agile development environments.


What Would Be Nice To Have:

  • Experience supporting federal programs and/or large-scale data modernization projects.

  • Familiarity with version control and collaboration tools, including Git, Jira, and Confluence.

  • Ability to work independently in a fast-paced environment.

  • Strong analytical and troubleshooting skills.

  • Excellent verbal and written communication skills, with the ability to clearly communicate complex technical concepts to diverse audiences.

  • Familiarity with containerization and orchestration technologies

  • Experience with data visualization tools (e.g., Kibana, Tableau).

  • Familiarity with security best practices and compliance in federal environments.

  • Experience with microservices, Spring Boot, and integration of AI/ML components.

  • Previous consulting experience

The annual salary range for this position is $89,000.00-$148,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.


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