1

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

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 · 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 · On-site

$118K - $141K/yr

Your Opportunity We are seeking a hands-on Data Engineer to design, build, and maintain reliable ... Dental Insurance * Vision Insurance * 401k Matching * Paid Maternity Leave * FLSA Status

New

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Your Opportunity We are seeking a hands-on Data Engineer to design, build, and maintain reliable ... Dental Insurance * Vision Insurance * 401k Matching * Paid Maternity Leave * FLSA Status

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 ...

Data Engineer

Lake Forest, IL · On-site

$95K - $158K/yr

Medical, dental, vision, and life insurance plans with coverage starting on day one of employment ... As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for ...

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 ...

Medical, dental, vision, and life insurance plans with coverage starting on day one of employment ... As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for ...

Medical, dental, vision, and life insurance plans with coverage starting on day one of employment ... Position Details:   As a Data Engineer within the Grainger Data & Analytics domain, you will be ...

Troubleshoot and resolve data engineering issues as they arise. ***Applicants must be currently ... Health, dental, vision, life and disability insurance * 401k Retirement Program + 6% employer match

Data Engineer

Lisle, IL · On-site

$74K - $133K/yr

Troubleshoot and resolve data engineering issues as they arise. ***Applicants must be currently ... Health, dental, vision, life and disability insurance * 401k Retirement Program + 6% employer match

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 ... The Data Engineer will report to a Manager of Data Engineering. The Data and Analytics team ...

Data Engineer

Lisle, IL · Hybrid

$74K - $133K/yr

Troubleshoot and resolve data engineering issues as they arise. ***Applicants must be currently ... Health, dental, vision, life and disability insurance * 401k Retirement Program + 6% employer match

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 ... The Data Engineer will report to a Manager of Data Engineering. The Data and Analytics team ...

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 ... The Data Engineer will report to a Manager of Data Engineering. The Data and Analytics team ...

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 ...

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 ...

next page

Showing results 1-20

Insurance Data Engineer information

See Elgin, IL salary details

$44K

$128.2K

$175.5K

How much do insurance data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for insurance data engineer in Elgin, IL is $128,226.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,200.00 and $135,900.00 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 Elgin, IL? For Insurance Data Engineer jobs in Elgin, IL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Elgin, IL look for? The top searched job categories for Insurance Data Engineer jobs in Elgin, IL are:
What cities near Elgin, IL are hiring for Insurance Data Engineer jobs? Cities near Elgin, IL with the most Insurance Data Engineer job openings:
Data Engineer

Data Engineer

IMC

Chicago, IL • On-site

$175K - $225K/yr

Other

PTO

Posted 21 days ago


Job description

We are seeking a dedicated and experienced Data Engineer to join our Chicago team. The ideal candidate is energized by working in a cutting-edge environment that enables IMC to continue to be at the forefront of the evolving global financial markets.
Core Responsibilities
  • Architect, develop and deploy our Big Data environment (Kafka, Hadoop, Dremio, etc.)
  • Build, deploy, and monitor our data processing pipelines (Java, Python, Spark, Flink)
  • Collaborate with development teams on data modeling, data ingestion, and capacity planning
  • Work with users to ensure data integrity and availability
  • Act as a Big Data SME and consult on a variety of data-related questions from users and developers

Skills and Experience:
  • 5+ years experience working in a mature data engineering environment
  • 3+ years of experience building Kafka streaming applications and/or maintaining Kafka clusters
  • 2+ years of experience building applications/pipelines with Big Data backends (S3, HDFS, Databricks, Iceberg, etc)
  • Experience with Apache Spark, Apache Flink or similar tools
  • Strong Java, Python, and SQL development skills
  • Experience with common data-science toolkits, especially python-based
  • Hands-on experience with Kubernetes and Docker
  • Experience with monitoring tools such as PrometheGrafana, Alert Manager, Alerta and OpsGenie
  • Strong statistical analysis skills
  • Demonstrated ability to troubleshoot and conduct root-cause analysis
  • Unix scripting experience (bash, python, etc.)

#LI-DNP
The Base Salary range for the role is included below. Base salary is only one component of total compensation; all full-time, permanent positions are eligible for a discretionary bonus and benefits, including paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive information.
Salary Range
$175,000-$225,000 USD
About Us
IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we've been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.