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

Crypto.com

Compliance Senior Data Analyst

Chicago, IL · On-site

$80K - $100K/yr

Support 1099-DA reporting processes, including customer data, transaction reporting, cost-basis ... insurance Work Flexibility Adoption. Flexi-work hour and hybrid set-up Aspire career alternatives ...

Crypto.com

Compliance Senior Data Analyst

Chicago, IL · Hybrid

$80K - $100K/yr

Support 1099-DA reporting processes, including customer data, transaction reporting, cost-basis ... insurance Work Flexibility Adoption. Flexi-work hour and hybrid set-up Aspire career alternatives ...

IT America Inc

Data Modeler (P&C Insurance)

Chicago, IL · On-site

$56.50 - $73.25/hr

Property and Casualty Insurance (P&C) experience is mandatory The Data Modeler role works with ... Understanding of ETL processes to load large data warehouses * Ability to work as an individual ...

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines ... Benefits include, but are not limited to; medical, prescription drug, dental and vision insurance ...

Transunion

Senior Data Scientist - Insurance

Chicago, IL

$88K - $141K/yr

... process improvements. * You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds ...

TransUnion

Senior Data Scientist - Insurance

Chicago, IL · On-site

$88K - $141K/yr

... process improvements. * You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds ...

TransUnion

Senior Data Scientist - Insurance

Chicago, IL · On-site

$88K - $141K/yr

... process improvements. * You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds ...

Transunion

Senior Data Scientist - Insurance

Chicago, IL · On-site

$88K - $141K/yr

... process improvements. * You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds ...

TransUnion

Senior Data Scientist - Insurance

Chicago, IL · On-site

$79 - $141/hr

... process improvements. * You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers representing a wide range of backgrounds ...

Renasant Bank

IT & Data Operations Specialist

Chicago, IL · On-site

$70K - $80K/yr

Manage data processes ensuring quality, accuracy, and consistency, independently establishing and ... Insurance/AD&D/LTD, Voluntary Life Insurance (Term and Whole), Supplemental Disability Plans ...

IMC

Quantitative Researcher - Data Curation

Chicago, IL · On-site

$250K - $300K/yr

Document research processes, data provenance, and results with high standards of clarity and ... paid leave and insurance. Please visit Benefits - US | IMC Trading for more comprehensive ...

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

Insurance Data Processing information

See Chicago, IL salary details

$12

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$35

How much do insurance data processing jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for insurance data processing in Chicago, IL is $20.88, according to ZipRecruiter salary data. Most workers in this role earn between $16.59 and $23.03 per hour, depending on experience, location, and employer.

What is insurance data processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What are the key skills and qualifications needed to thrive as an insurance data processing specialist?

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.

What are some common challenges faced in an insurance data processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

What are popular job titles related to Insurance Data Processing jobs in Chicago, IL?

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

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

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

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

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

Insurance Data Processing jobs near you

Data Platform Operations Engineer - Performance

IMC

Chicago, IL • On-site

$185K - $225K/yr

Other

PTO

Posted 18 days ago

Job description

We are looking for a data-focused engineer with a strong operational focus to support the Performance Team's data platform at IMC. This role is responsible for the reliability, correctness, and performance of data systems that directly support performance analysis and decision-making.
The role is production-facing and works closely with the Performance team and aligned stakeholders to ensure data workflows are robust, observable, and efficient.
What you'll do:
  • Own the operational health of the Performance Team's data platform
  • Monitor and maintain ETLs and data pipelines for correctness, timeliness, and stability
  • Design and maintain data quality checks, reports, and alerting specific to performance data
  • Investigate and resolve data issues and pipeline failures, driving problems to root cause
  • Own and troubleshoot GitLab CI/CD pipeline issues related to performance data workflows
  • Monitor workloads and resource usage; identify and resolve imbalances and bottlenecks
  • Build and maintain operational tooling, automation, and runbooks
  • Continuously tune data pipelines and workloads to improve performance and resource efficiency

What you bring:
  • 3+ years of experience in software engineering or data engineering with an operational or production focus
  • A Bachelor's Degree in Computer Science or a related field is strongly preferred
  • Proficiency in Python, with hands-on experience using PySpark and Pandas
  • Experience supporting production ETL or data processing systems
  • Familiarity with Git-based development workflows and CI/CD systems (GitLab preferred)
  • Strong analytical skills and attention to detail
  • Comfortable taking ownership in a performance- and reliability-critical environment

Nice to Have
  • Experience working with performance-critical or high-throughput systems
  • Exposure to workload scheduling, resource management, or cluster-based compute

What Success Looks Like
  • Performance data pipelines are reliable, observable, and trusted
  • Issues are detected early and resolved quickly with clear root-cause ownership
  • Workloads are well-balanced and systems run efficiently

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
$185,000-$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.

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