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Insurance Data Processing Jobs in Manchester, CT

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

Sr. Data Engineer

Simsbury, CT

$116K - $139K/yr

Document data processes, workflows, and technical specifications to ensure clarity and ... Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial ...

Crew Chief

Meriden, CT ยท Hybrid

$19 - $24.50/hr

This role involves field data processing, boundary determination, and digital mapping using ... Vision insurance, disability insurance, life insurance, 401k matching, and our Employee Stock ...

Data Modeler

Windsor, CT

$54.50 - $70.75/hr

... Insurance Model (IIW; IAA), Retail Data Warehouse 9) Must know the industry standard logical naming methods, Metadata management process Experience Required 7 years Roles & Responsibilities Will be ...

... insurance, 401K retirement savings plan, Life Insurance, Disability Insurance. Primary ... Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software.

Develop and optimize data processing solutions on AWS using services such as Glue, EMR, Lambda, and ... Medical, dental, vision and life insurance * Retirement savings - 401(k) plan with generous company ...

... and recommend process improvements. This opportunity is well suited for a detail-oriented ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

... and recommend process improvements. This opportunity is well suited for a detail-oriented ... Additionally, Maximus provides a variety of benefits to employees, including health insurance ...

Evaluate data pull processes and recommend/implement process improvements * Develop reporting ... Benefits offered MAY include health, dental, vision, and life insurance; 401(k); education ...

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Insurance Data Processing information

See Manchester, CT salary details

$12

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$35

How much do insurance data processing jobs pay per hour?

As of Jul 11, 2026, the average hourly pay for insurance data processing in Manchester, CT is $20.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.60 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 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 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 job categories do people searching Insurance Data Processing jobs in Manchester, CT look for? The top searched job categories for Insurance Data Processing jobs in Manchester, CT are:

$115K - $138K/yr

Contractor

Posted 22 days ago


Job description

Job Description:
We are looking for a skilled Python Data Engineer with hands-on experience in Azure, PySpark, and Databricks, specifically within the insurance domain. This is a hybrid, long-term contract position requiring a mix of remote and onsite work in either Hartford, CT or Charlotte, NC. The ideal candidate will be responsible for building, optimizing, and maintaining data pipelines and supporting data-driven decision-making across the organization.
Key Responsibilities:
  • Design and develop scalable and robust data pipelines using PySpark and Python.
  • Leverage Azure Data Services (e.g., Azure Data Factory, Azure Data Lake, Azure Synapse) for data integration and transformation.
  • Utilize Databricks for distributed data processing, data wrangling, and advanced analytics.
  • Ensure data quality, integrity, and compliance with data governance and security policies.
  • Collaborate with cross-functional teams, including business analysts, data scientists, and application developers.
  • Participate in performance tuning, troubleshooting, and optimization of data workflows.
  • Translate business requirements into technical specifications, especially within the insurance industry context.
  • Develop and maintain documentation for data pipelines and architecture.