ZipRecruiter

Log In

1

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

IT Labs

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Lead Data Engineer, you will drive the design and evolution of the company's data platform ... Experience working within healthcare, insurance, or regulated industries. Working Conditions ...

Kemper

Principal Data Engineer

Chicago, IL · On-site +1

The Principal Data Engineer serves as a senior technical leader responsible for architecting ... Architect cross-functional data solutions that integrate data from core insurance systems (e.g ...

Kemper

Principal Data Engineer

Downers Grove, IL · On-site +1

The Principal Data Engineer serves as a senior technical leader responsible for architecting ... Architect cross-functional data solutions that integrate data from core insurance systems (e.g ...

Independence Pet Group

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

We believe pet insurance is more than a financial product and build solutions to simplify the pet ... Senior Data Engineer External name : Senior Data Engineer Established in 2021, Independence Pet ...

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 ...

New

Eliassen Group

Lead Data Engineer

Chicago, IL · Hybrid

$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 ...

New

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

Waukegan, 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!

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!

ULINE

Senior Data Engineer

Waukegan, 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!

ULINE

Senior Data Engineer

Waukegan, 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!

Uline

Senior Data Engineer

Waukegan, 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!

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!

Uline

Senior Data Engineer

Waukegan, IL

$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!

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 ...

next page

Showing results 1-20

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 Jul 15, 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.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

What are Insurance Data Engineers?

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.

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.

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
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
Lead Data Engineer

Lead Data Engineer

IT Labs

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Posted 26 days ago

Job description

About the Role
At IT Labs, we are looking for an experienced Lead Data Engineer to support one of the most innovative companies in the digital health space.
Our client is transforming healthcare through a technology-driven platform that connects employers and patients with leading medical providers, helping reduce costs and improve outcomes. As they continue to scale, they are investing heavily in modernizing their data infrastructure and analytics capabilities.
As a Lead Data Engineer, you will drive the design and evolution of the company's data platform, building scalable data pipelines and robust Snowflake-based solutions. Working closely with cross-functional teams, you will help deliver reliable, high-quality data that powers business decisions and supports the company's growth.
What You'll Do
  • Lead the design, development, and optimization of scalable data platforms and pipelines.
  • Design, build, and maintain production-grade ETL/ELT workflows for batch and near real-time data processing.
  • Drive the migration and modernization of data assets from BigQuery and other analytical platforms into Snowflake.
  • Develop robust integrations with enterprise applications, APIs, and external data providers.
  • Build and optimize Snowflake data models, schemas, Snowpipe ingestion processes, and query performance.
  • Collaborate with business stakeholders, analysts, and engineering teams to translate business requirements into scalable data solutions.
  • Implement data quality, validation, monitoring, and observability frameworks.
  • Establish and promote best practices for data governance, lineage tracking, metadata management, and security.
  • Support both batch and streaming data architectures using technologies such as Kafka, Event Hub, or equivalent.
  • Mentor other engineers and contribute to architectural decisions, technical standards, and engineering best practices.

Ensure data platforms meet performance, reliability, scalability, and regulatory requirements.
Required Skills
  • 10+ years of experience in data engineering within cloud or hybrid environments.
  • Team Leadership experience
  • Experience in the healthcare industry and dealing with HIPAA related projects
  • Strong experience designing, building, and maintaining production-scale ETL/ELT pipelines.
  • Advanced SQL skills and proficiency with data transformation techniques.
  • Strong Python programming skills for data processing and automation.
  • Hands-on experience with Snowflake, including:
    • Data modeling
    • Snowpipe
    • Query optimization
    • Schema design
  • Experience migrating from BigQuery or similar columnar data warehouse technologies.
  • Experience with batch and streaming data processing platforms such as Kafka, Event Hub, or equivalent.
  • Experience building enterprise-grade API and source-system integrations.
  • Experience implementing data quality and validation frameworks.
  • Good understanding of:
    • Data governance
    • Data lineage
    • Access control and security best practices
  • Strong problem-solving and communication skills.
  • Ability to work effectively in a collaborative, cross-functional environment.

Nice to Have
  • Experience with Databricks, including:
    • Delta Lake
    • Unity Catalog
    • Spark-based pipelines
  • Experience with Spark, Scala, or PySpark.
  • Familiarity with Tableau.
  • Understanding of HIPAA and HITRUST data handling practices.
  • Experience with dbt (data build tool) for transformation layer management.
  • Experience working within healthcare, insurance, or regulated industries.
Working Conditions
  • Full-time, 40h/week
  • US-based - US citizenship is required
  • Remote
  • Contract or B2B arrangement

Our values
We are a company that seeks the best for both our employees and clients, reaching beyond expectations in turning dreams into reality. Our way of working is rooted in our core values (Integrity, Excellence, Proactivity, Innovation, and People), with an expectation that our future colleagues will make these their second nature in their everyday work and life. We don't ask for perfection, but we do appreciate people motivated to better themselves in every conceivable aspect.
About IT Labs
Founded in 2005, IT Labs is an international software tech company, specializing in purpose and process-driven teams for high-performance, innovation, transformation, and efficiency. Our HQ is in Palm Beach Gardens, Florida, and we have teams around the world - the UK, the Netherlands, Brazil, Argentina, Serbia, Croatia, BIH, Montenegro, North Macedonia, and the Middle East. We are constantly growing, and we would love for you to become part of our team!

Apply