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Insurance Data Processing Jobs in Illinois (NOW HIRING)

Clarus

Sr Manager, Data Engineering

Chicago, IL · On-site +1

For us, that future starts by fundamentally changing how pet insurance operates. We're engineering ... Establish robust data quality frameworks, monitoring, SLAs, and operational support processes.

Kemper

Senior Data Systems Analyst

Downers Grove, IL · On-site

$85K - $108K/yr

Business Process Validation * Insurance industry experience (P&C and/or Life Insurance). * Experience supporting enterprise data warehouse environments. Demonstrated Expertise In: * Data quality ...

Kemper

Senior Data Systems Analyst

Chicago, IL

$88K - $111K/yr

Business Process Validation * Insurance industry experience (P&C and/or Life Insurance). * Experience supporting enterprise data warehouse environments. Demonstrated Expertise In: * Data quality ...

The Hartford

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 ... Experience building and supporting enterprise data pipelines, ETL/ELT processes, or data services.

Meijer

Curbside Clerk

Oswego, IL · On-site

$15.25 - $16.98/hr

Process-driven with the ability to follow procedures in an efficient, consistent way * Past online ... insurance, a 401(k) plan with employer match, disability leave, and paid time off (PTO). In ...

Meijer

Curbside Clerk

Homer Glen, IL · On-site

$15.25 - $16.98/hr

Process-driven with the ability to follow procedures in an efficient, consistent way * Past online ... insurance, a 401(k) plan with employer match, disability leave, and paid time off (PTO). In ...

Meijer, Inc.

Curbside Clerk

Homer Glen, IL

$15.25 - $16.98/hr

Process-driven with the ability to follow procedures in an efficient, consistent way * Past online ... insurance, a 401(k) plan with employer match, disability leave, and paid time off (PTO). In ...

Meijer

Curbside Clerk

Homer Glen, IL · On-site

$15.25 - $16.98/hr

Process-driven with the ability to follow procedures in an efficient, consistent way * Past online ... insurance, a 401(k) plan with employer match, disability leave, and paid time off (PTO). In ...

Kemper

Senior Data Systems Analyst

Bloomington, IL

Business Process Validation * Insurance industry experience (P&C and/or Life Insurance). * Experience supporting enterprise data warehouse environments. Demonstrated Expertise In * Data quality ...

Meijer

Curbside clerk

Bradley, IL · On-site

$15 - $16.50/hr

Process-driven with the ability to follow procedures in an efficient, consistent way * Past online ... insurance, a 401(k) plan with employer match, disability leave, and paid time off (PTO). In ...

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All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in Illinois

Insurance Data Processing information

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 Illinois?

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

What job categories do people searching Insurance Data Processing jobs in Illinois look for?

The top searched job categories for Insurance Data Processing jobs in Illinois are:

What cities in Illinois are hiring for Insurance Data Processing jobs?

Cities in Illinois with the most Insurance Data Processing job openings:

Insurance Data Processing jobs near you

Sr Manager, Data Engineering

Clarus

Chicago, IL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

Job description

At Clarus, we are harnessing intelligence to propel pet health towards a brighter, smarter, more connected future. A future where information flows freely across caregivers & care environments, insights are more instant and actionable, and financial decisions are empowered.
For us, that future starts by fundamentally changing how pet insurance operates. We're engineering systems that decomplexify coverage and facilitate reimbursement, so more pets can get the care they deserve.
Our team of pet industry veterans and passionate pet people come from across the tech and health continuums. Together, we're openly challenging industry convention in service of creating totally new possibilities. Which is why our culture is built on the values of curiosity, entrepreneurship, humility and fierce collaboration.
Role Overview
We are seeking an experienced and hands-on Senior Manager, Data Engineering to lead the strategy, architecture, and execution of Clarus' modern data platform. This role will be responsible for building and scaling foundational data capabilities across data ingestion, master data management (MDM), data quality, and platform engineering.
As a growing organization, Clarus values leaders who can balance strategic thinking with hands-on execution. The ideal candidate thrives in fast-paced environments, enjoys solving complex data challenges, and is excited to build scalable data foundations that enable products, analytics, operational workflows, and business decision-making.
This role will partner closely with Engineering, Product, Analytics, and business leaders to establish trusted, high-quality data assets and deliver a data platform capable of supporting Clarus' next stage of growth.
Key Responsibilities
  • Define and execute the roadmap for data engineering capabilities aligned with business and product priorities.
  • Design, build, and optimize scalable batch and real-time data ingestion frameworks using Azure Databricks, ADLS Gen2, and Azure-native technologies.
  • Establish reusable data engineering patterns, orchestration standards, and platform best practices.
  • Drive reliability, observability, performance optimization, and cost efficiency of data pipelines and infrastructure.
  • Lead the strategy and implementation of Master Data Management (MDM) capabilities across key business domains.
  • Define and govern trusted data assets and golden records for critical business entities including customers, products, providers, and partners.
  • Partner with business, product, and analytics stakeholders to ensure consistent and trusted enterprise data.
  • Develop scalable approaches for entity resolution, matching, taxonomy management, and hierarchical data modeling.
  • Champion modern lakehouse architecture principles and modular data design.
  • Establish robust data quality frameworks, monitoring, SLAs, and operational support processes.
  • Ensure alignment with enterprise governance, security, privacy, and regulatory requirements.
  • Lead, mentor, and grow a team of data engineers while fostering a culture of ownership, collaboration, and continuous improvement.
  • Contribute directly to architecture decisions, technical design, and critical implementation efforts when needed.
  • Drive agile delivery, sprint planning, and engineering best practices across the team.
  • Establish CI/CD standards, testing strategies, and DataOps best practices to support platform scalability and reliability.

Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in data engineering, data platform development, or related disciplines.
  • 2+ years of experience leading technical teams, mentoring engineers, or serving in a technical leadership capacity.
  • Deep experience with Azure cloud data platforms, including Azure Databricks, ADLS Gen2, Azure Data Factory, Event Hub, and related services.
  • Strong experience building modern data platforms, lakehouse architectures, and distributed data processing solutions.
  • Experience developing and implementing Master Data Management (MDM) solutions and enterprise data models.
  • Expertise with SQL, Python, Spark, and modern data engineering frameworks.
  • Experience building and supporting both batch and real-time data processing pipelines.
  • Strong understanding of data governance, metadata management, data quality, and security best practices.
  • Experience implementing CI/CD pipelines, DevOps practices, and infrastructure automation.
  • Excellent communication skills with the ability to influence technical and non-technical stakeholders.
  • Experience in healthcare, insurance, pet health, or other highly regulated industries is a plus.
  • Experience with entity resolution, probabilistic matching, or customer data platforms is a plus.

All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following:
  • Comprehensive full medical, dental and vision Insurance
  • Basic Life Insurance at no cost to the employee
  • Company paid short-term and long-term disability
  • 12 weeks of 100% paid Parental Leave
  • Health Savings Account (HSA)
  • Flexible Spending Accounts (FSA)
  • Retirement savings plan
  • Personal Paid Time Off
  • Paid holidays and company-wide Wellness Day off
  • Paid time off to volunteer at nonprofit organizations
  • Pet friendly office environment
  • Commuter Benefits
  • Group Pet Insurance
  • On the job training and skills development
  • Employee Assistance Program (EAP)

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