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Insurance Data Processing Jobs in Manchester, CT

Data Scientist

Hartford, CT ยท Hybrid

$90.16K - $135.24K/yr

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance ... processes and assumptions Think creatively to envision how we can enhance long-standing actuarial ...

Insurance Assistant

Hartford, CT ยท Hybrid

$43K - $46.68K/yr

Track various company data for insurance purposes. * Communicate with Propark insurance brokers on ... If you need assistance or an accommodation during the application process because of a disability ...

Data Scientist

Hartford, CT ยท On-site +1

$90.16K - $135.24K/yr

Data Scientist - GD08AE We're determined to make a difference and are proud to be an insurance ... Develop knowledge of The Hartford's formal and informal structures, business processes, and data ...

... insurance business, data and data controls. Data management of the Enterprise Data Warehouse (EDW ... Onboard and productionize processes related to data received from new platforms * Troubleshoot and ...

... insurance business, data and data controls. Data management of the Enterprise Data Warehouse (EDW ... Onboard and productionize processes related to data received from new platforms * Troubleshoot and ...

Data Scientist

Windsor, CT ยท On-site

$117K - $146K/yr

Leverage a curious mindset, initiative, and "elbow grease" to enhance existing processes, and to ... This role is also eligible for an annual performance bonus, comprehensive health insurance (medical ...

Data Architect

Windsor, CT ยท On-site

$55 - $60/hr

Contribute to data tool standards and governance processes. Assist with evaluating data complexity ... Prior experience with financial services, retirement, insurance, or medical records industry highly ...

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Insurance Data Processing information

See Manchester, CT salary details

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$20

$35

How much do insurance data processing jobs pay per hour?

As of May 31, 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 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 Manchester, CT? For Insurance Data Processing jobs in Manchester, CT, the most frequently searched job titles are:
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:

Senior Data Engineer, Personal Insurance

The Travelers Indemnity Company

Hartford, CT โ€ข On-site

$139.40K - $230K/yr

Full-time

Medical, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Who Are We?
Taking care of our customers, our communities and each other. That's the Travelers Promise. By honoring this commitment, we have maintained our reputation as one of the best property casualty insurers in the industry for over 170 years. Join us to discover a culture that is rooted in innovation and thrives on collaboration. Imagine loving what you do and where you do it.
Job Category
Technology
Compensation Overview
The annual base salary range provided for this position is a nationwide market range and represents a broad range of salaries for this role across the country. The actual salary for this position will be determined by a number of factors, including the scope, complexity and location of the role; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. As part of our comprehensive compensation and benefits program, employees are also eligible for performance-based cash incentive awards.
Salary Range
$139,400.00 - $230,000.00
Target Openings
1
What Is the Opportunity?
Travelers Data Engineering team constructs pipelines that contextualize and provide easy access to data by the entire enterprise. As a Senior Data Engineer you will accelerate growth and transformation of our analytics landscape. You will bring a strong desire to guide team members' growth and develop data solutions that translate complex data into user-friendly terminology. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.What Will You Do?
  • Build and operationalize complex data solutions, correct problems, apply transformations, and recommending data cleansing/quality solutions.
  • Design complex data solutions, including incorporating new data sources and ensuring designs are consistent across projects and aligned to data strategies.
  • Perform analysis of complex sources to determine value and use and recommend data to include in analytical processes.
  • Incorporate core data management competencies including data governance, data security and data quality.
  • Act as a data and technology subject matter expert within lines of business to support delivery and educate end users on data products/analytic environment.
  • Perform data and system analysis, assessment and resolution for defects and incidents of high complexity and correct as appropriate.
  • Collaborate across team to support delivery and educate end users on complex data products/analytic environment.
  • Perform other duties as assigned.
What Will Our Ideal Candidate Have?
  • Bachelor's Degree in STEM related field or equivalent.
  • Ten years of related experience.
  • Primary Job Requirements:
    • Architect and design scalable, secure data solutions using AWS, Databricks, and Ab Initio.
    • Lead technical direction for data engineering initiatives across cloud and on-premises infrastructure.
    • Hands-on development: build ETL pipelines, optimize Spark jobs, and create Ab Initio graphs.
    • Troubleshoot production issues and provide technical guidance to junior engineers.
    • Conduct mentoring sessions and offer technical guidance to the 20-person admin team.
    • Collaborate with DBA teams, business analysts, and QA teams to ensure data governance and quality.
    • Manage infrastructure deployment and optimize cloud resources.
    • Lead technical design reviews and architecture discussions.
    • Implement data integration solutions and ensure compliance with data protection regulations.
    • Establish and enforce coding standards, best practices, and data governance policies.
  • Technical Skills:
    • AbInitio: Expert proficiency with GDE, Co>Operating System, EME, BRE, Express>It, metaprogramming (PDL)
    • Programming: Python, PySpark, SQL
    • Cloud: AWS architecture and services
    • Databricks: Workspace management, cluster configuration, Delta Lake, Unity Catalog
    • Data Warehousing: Strong understanding of data modeling, dimensional modeling (star/snowflake schemas)
    • ETL/ELT: End-to-end ETL development lifecycle
    • Version Control: Git, CI/CD pipelines
  • Advanced knowledge of tools, techniques, and manipulation including cloud platforms, programming languages, and modern software engineering practices.
  • Strong delivery skills including the ability to determine the software design strategy and methodology to be used for efforts, use automated tests, analysis, and informed feedback loops to ensure the quality and production readiness of work before release, monitor the health of work efforts and that of adjacent systems.
  • Demonstrated track record of domain expertise including the ability to develop business partnerships and influence priorities by identifying solutions that are aligned with current business objective and closely follow industry trends relevant to domain, understanding how to apply them, and sharing knowledge with coworkers.
  • Strong problem solver who utilizes data and proofs of concepts to find creative solutions to difficult problems involving a significant number of factors with broad implications, reflects on solutions, measures impact, and uses that information to ideate and optimize.
  • Excellent communication skills with the ability to develop business partnerships, describe technology concepts in ways the business can understand, document initiatives in a concise and clear manner, and empathetically and attentively listen to others thoughts and ideas.
  • Ability to lead and take action even when there is no clear owner, inspire and motivate others, and be effective at influencing team members.

What is a Must Have?
  • Bachelor's degree in computer science, related STEM field, or its equivalent in education and/or work experience.
  • 6 additional years of data engineering experience.

What Is in It for You?
  • Health Insurance: Employees and their eligible family members - including spouses, domestic partners, and children - are eligible for coverage from the first day of employment.
  • Retirement: Travelers matches your 401(k) contributions dollar-for-dollar up to your first 5% of eligible pay, subject to an annual maximum. If you have student loan debt, you can enroll in the Paying it Forward Savings Program. When you make a payment toward your student loan, Travelers will make an annual contribution into your 401(k) account. You are also eligible for a Pension Plan that is 100% funded by Travelers.
  • Paid Time Off: Start your career at Travelers with a minimum of 20 days Paid Time Off annually, plus nine paid company Holidays.
  • Wellness Program: The Travelers wellness program is comprised of tools, discounts and resources that empower you to achieve your wellness goals and caregiving needs. In addition, our mental health program provides access to free professional counseling services, health coaching and other resources to support your daily life needs.
  • Volunteer Encouragement: We have a deep commitment to the communities we serve and encourage our employees to get involved. Travelers has a Matching Gift and Volunteer Rewards program that enables you to give back to the charity of your choice.

Employment Practices
Travelers is an equal opportunity employer. We value the unique abilities and talents each individual brings to our organization and recognize that we benefit in numerous ways from our differences.
In accordance with local law, candidates seeking employment in Colorado are not required to disclose dates of attendance at or graduation from educational institutions.
If you are a candidate and have specific questions regarding the physical requirements of this role, please send us an email so we may assist you.
Travelers reserves the right to fill this position at a level above or below the level included in this posting.
To learn more about our comprehensive benefit programs please visit http://careers.travelers.com/life-at-travelers/benefits/.