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

Benchmark Analytics

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

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

Indeed

Data Engineer II

Chicago, IL

$118K - $141K/yr

You will bring practical experience in data processing and modeling within a data environment ... insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based ...

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 ...

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 ...

Honeycomb Insurance

Data Analyst

Chicago, IL

$120K - $170K/yr

Experience in insurance, fintech, or financial services. * Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business functions. * Familiarity with financial ...

Honeycomb Insurance

Data Analyst

Chicago, IL · On-site

$120K - $170K/yr

Experience in insurance, fintech, or financial services. * Experience supporting data-driven processes in Finance, FP&A, Accounting, or similar business functions. * Familiarity with financial ...

Kemper

Senior Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

... specialized insurers. Our success is a direct reflection of the talented and diverse people who ... Data Processing and Preparation Develop and manage data preparation routines for extracts ...

Kemper

Senior Data Engineer

Downers Grove, IL · On-site +1

$105K - $143K/yr

... specialized insurers. Our success is a direct reflection of the talented and diverse people who ... Data Processing and Preparation Develop and manage data preparation routines for extracts ...

NTT DATA Services

Data Conversion Analyst

Chicago, IL · On-site +1

$111K - $185K/yr

Execute data migration processes, monitoring for errors or discrepancies and addressing issues as ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

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

Insurance Data Processing information

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How much do insurance data processing jobs pay per hour?

As of Jun 17, 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 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 highest paid position in insurance?

In insurance, executive roles such as Chief Executive Officer (CEO), Chief Underwriting Officer, or Chief Risk Officer tend to be the highest paid positions, often earning six-figure salaries plus bonuses. These roles require extensive experience, leadership skills, and industry knowledge, and they oversee company strategy, underwriting, and risk management functions.

What does a data analyst do in an insurance company?

A data analyst in an insurance company collects, processes, and analyzes large datasets to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, claims processing, and pricing strategies.

What is the highest paid job in insurance?

In insurance, executive roles such as Chief Underwriting Officer or Chief Risk Officer tend to be the highest paid, often earning six-figure salaries plus bonuses. These positions require extensive industry experience, leadership skills, and often advanced certifications like CPCU or ARM.

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 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 highest paying data entry job?

In the field of insurance data processing, senior or specialized roles such as data analysts or claims processors tend to have higher salaries, especially those with advanced skills in database management, data analysis tools, or certifications. These positions often require experience and technical proficiency, leading to higher compensation compared to entry-level data entry roles.

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 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
Senior Data Engineer

Senior Data Engineer

Benchmark Analytics

Chicago, IL • On-site

$109K - $148K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago

Job description

Who We Are:
Dedicated to making a difference in law enforcement agencies across the U.S., our mission is to transform policing by elevating officer performance with a preventative-based early intervention system. Driven by data science and powered by machine learning, our offering analyzes officer performance data in order to identify potentially problematic behavior. In partnership with the University of Chicago, we've developed the world's largest multi-jurisdictional officer performance database, and the only research-driven, evidence-based early intervention system available in policing today.
We're also the only provider of a fully integrated, cloud-based Software-as-a-Service (SaaS) platform that simplifies essential policing workflows. This platform is designed to be a single-source solution for all operational needs, driving extensive efficiency gains and providing best-in-class advanced analytics and insights.
Benchmark Analytics provides a comprehensive, all-in-one solution that is advancing police force management through state-of-the-art technology and market-leading data and analytics.
The Role:
We are actively evolving our data platform from legacy ETL systems to a modern, cloud-native architecture built on Python, Kubernetes, and AI-assisted and agentic workflows. This role will play a critical part in that transformation.
Responsibilities:
  • Designing, developing, and maintaining scalable, fault-tolerant data pipelines and ETL/ELT processes across a modern stack
  • Contributing to the design and implementation of a greenfield data platform leveraging Python, Kubernetes, and AWS services
  • Operating in a hybrid greenfield and brownfield environment: building new capabilities while maintaining legacy systems
  • Leading development discussions and defining engineering patterns and standards
  • Assessing and analyzing legacy data processes and driving modernization efforts
  • Collaborating with cross-functional teams to ensure delivery of clean, reliable, and production-ready data
  • Improving data pipeline performance, observability, and reliability
  • Designing and integrating AI-assisted or agentic workflows to improve data processing and system interaction
  • Supporting documentation efforts for scalability and platform adoption
  • Providing technical mentorship and guidance to junior engineers
  • Acting as a technical SME in internal and client-facing discussions

Job Qualifications:
Requirements
  • Bachelor's degree in STEM field or equivalent experience
  • 6+ years of experience building production-grade data systems, with demonstrated ownership of system design or major platform components
  • Strong experience building ETL/ELT pipelines across structured and unstructured data
  • Experience with cloud-based architectures (AWS preferred)
  • Strong SQL and data modeling skills
  • Strong Python engineering skills
  • Experience with Docker and orchestration frameworks (Airflow or equivalent)
  • Experience modernizing or migrating legacy systems
  • Proven ability to troubleshoot complex data issues
  • Sufficient understanding of DevOps practices (CI/CD, IaC)
  • Ability to manage multiple priorities in a fast-paced environment

Required Skills
  • Experience designing scalable data solutions in production
  • Experience handling large data volumes and schema evolution
  • Proficiency in SQL and relational/analytical databases
  • Proficiency in Python (and/or Java, Shell)
  • Experience with AWS ecosystem (S3, Lambda, SQS/SNS)
  • Familiarity with Spark/EMR preferred
  • Experience with Docker and Kubernetes
  • Strong data modeling knowledge (relational and NoSQL)
  • Technologies: SQL, Python, AWS, Postgres, Spark/EMR, Git, Docker, Kubernetes, Django, DynamoDB

Preferred Qualifications
  • Experience building or contributing to a greenfield data platform
  • Experience migrating away from legacy ETL tools
  • Experience integrating LLM or agent-based systems into data workflows (e.g., tool-calling, retrieval, automation)
  • Experience working in regulated environments (e.g., GovCloud, HIPAA)

What We Offer:
  • A competitive salary and benefits package.
  • Unlimited Paid Time Off.
  • Ability to work in a fully remote environment (must be based in the U.S. and willing to work in Central Time Zone).
  • Summer Half-Day Fridays.
  • Freed-Up Fridays during Spring, Fall, and Winter months to promote productivity and dedicated heads-down work time.
  • Medical, dental, and vision plan offerings along with 401(k).
  • Employer-paid Short-Term Disability, Long-Term Disability, and Life Insurance.
  • Other Voluntary Benefits include additional Life Insurance, Spouse Life Insurance, and Accident Insurance.
  • The satisfaction that comes with being part of a solution that has real impact in the world.
  • A diverse workforce and inclusive environment that embraces unique contributions and experiences.
  • An empowered culture that encourages creativity and professional growth.

Estimated Annual Salary Range:
  • $135 - $160; based on role, experience, and location

Additional Information:
  • Benchmark Analytics is an Equal Opportunity Employer. We value diversity of all kinds in our effort to create a stellar workforce of committed and passionate team members.
  • Unfortunately, we are not able to sponsor employment visas at this time, so we can only accept applications from candidates who are authorized to work in the U.S.

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