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

Grid Dynamics Holdings

Staff Data Scientist

Chicago, IL · On-site

... data processing * Deep expertise in machine learning , spanning classical time-series models ... Benefits package - medical insurance, vision, dental, etc. * Corporate social events * Professional ...

Transunion

Data Scientist - Insurance

Chicago, IL

$88.75K - $141.25K/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 ...

sg360

Variable Data Programmer

Wheeling, IL

Mentor team members, share best practices, and contribute to process improvements and automation ... insurance; short- and long-term disability coverage; a 401(k) with employer match; education ...

sg360

Variable Data Programmer

Wheeling, IL · On-site

$80K - $100K/yr

Mentor team members, share best practices, and contribute to process improvements and automation ... insurance; short- and long-term disability coverage; a 401(k) with employer match; education ...

TransUnion

Data Scientist - Insurance

Chicago, IL

$88.75K - $141.25K/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

Data Scientist - Insurance

Chicago, IL · On-site

$88.75K - $141.25K/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 ...

Citigroup, Inc.

Data Science Lead Analyst

Schaumburg, IL · On-site

$163.30K/yr

Leads system change process from requirements through implementation; provides user and operational ... insurance; and wellness programs. Citi also offers paid time off packages, including planned time ...

Amplify HR

Group Health Benefits Analyst

Northbrook, IL · Hybrid

$70K - $90K/yr

... process and helping them make informed decisions. Key Responsibilities: Collect and submit employee census data to multiple insurance carriers to obtain competitive quotes. Analyze group health ...

US Bank

Enterprise Data Architect

Chicago, IL

Experience in data integration, data processing, streaming, and messaging technologies. * Strong ... Basic term and optional term life insurance * Short-term and long-term disability * Pregnancy ...

Benchmark Solutions LLC

Senior Data Engineer

Chicago, IL · On-site +1

$109.20K - $148.30K/yr

Assessing and analyzing legacy data processes and driving modernization efforts * Collaborating ... Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident ...

Benchmark Analytics

Senior Data Engineer

Chicago, IL · On-site

$109.20K - $148.30K/yr

Assessing and analyzing legacy data processes and driving modernization efforts * Collaborating ... Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident ...

Benchmark Analytics

Senior Data Engineer

Chicago, IL · On-site

$109.20K - $148.30K/yr

Assessing and analyzing legacy data processes and driving modernization efforts * Collaborating ... Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident ...

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Insurance Data Processing information

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How much do insurance data processing jobs pay per hour?

As of May 31, 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 are the key skills and qualifications needed to thrive as an Insurance Data Processing Specialist, and why are they important?

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 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 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:
Insurance Data Processing jobs near you
Staff Data Scientist

Staff Data Scientist

Grid Dynamics Holdings

Chicago, IL • On-site

Full-time

Medical, Dental, Vision

Posted 24 days ago

Job description

This project involves a complex, production-grade machine learning solution with ongoing opportunities for enhancement across both traditional data science and emerging foundation model approaches. It requires strong collaboration with technical and business stakeholders, proactive decision-making, and continuous knowledge sharing to drive innovation, scalability, and business impact.
Essential functions
  • Collaborate cross-functionally with engineering and business teams to ensure alignment, clarity of requirements, and effective delivery of solutions
  • Drive MLOps excellence by proposing, designing, and optimizing system architecture, including refactoring Azure DevOps (ADO) and Azure Data Factory (ADF) pipelines for scalability and reliability
  • Enhance SDLC practices by improving overall solution architecture, code quality, and maintainability across the development lifecycle
  • Establish and promote best practices by defining and implementing effective ways of working within the project team
  • Partner closely with the client's core team to ensure rapid identification and resolution of bugs, maintaining system stability and performance

Qualifications
  • Azure Cloud expertise, including Azure DevOps, Azure Databricks, and Azure Data Factory
  • Strong programming skills in Python and PySpark, with experience in multiprocessing and multithreading for scalable data processing
  • Deep expertise in machine learning, spanning classical time-series models, gradient boosting/tree-based methods, deep learning, and emerging foundation models for time-series forecasting
  • Demonstrated strengths in decision-making and ownership, with a proactive, results-oriented mindset
  • Proven ability in knowledge sharing, collaboration, and initiative, contributing to both team growth and project success
  • Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field

Would be a plus
  • Experience with AWS cloud services, including designing and deploying scalable data and ML solutions
  • Hands-on experience with Databricks Asset Bundles (DAB) for managing, packaging, and deploying Databricks projects across environments

We offer
  • Opportunity to work on cutting-edge projects
  • Work with a highly motivated and dedicated team
  • Competitive salary
  • Flexible schedule
  • Benefits package - medical insurance, vision, dental, etc.
  • Corporate social events
  • Professional development opportunities
  • Well-equipped office

About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI , supported by profound expertise and ongoing investment in data , analytics , cloud & DevOps , application modernization and customer experience . Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.

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