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Insurance Data Processing Jobs in Connecticut (NOW HIRING)

... processing Calculates federal and state withholding amounts based on the taxable portion of the ... Ability to enter and review data in Ingenium Ability to use AWD Ability to use DCLM system Ability ...

Sr. Data Engineer

Simsbury, CT · On-site

$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 · 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 ...

Own the end-to-end process for getting menu items, offers, and product changes live across Subway ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Own the end-to-end process for getting menu items, offers, and product changes live across Subway ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Own the end-to-end process for getting menu items, offers, and product changes live across Subway ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Own the end-to-end process for getting menu items, offers, and product changes live across Subway ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Own the end-to-end process for getting menu items, offers, and product changes live across Subway ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Own the end-to-end process for getting menu items, offers, and product changes live across Subway ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Own the end-to-end process for getting menu items, offers, and product changes live across Subway ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Own the end-to-end process for getting menu items, offers, and product changes live across Subway ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

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Insurance Data Processing information

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 Connecticut? For Insurance Data Processing jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Insurance Data Processing jobs in Connecticut look for? The top searched job categories for Insurance Data Processing jobs in Connecticut are:
What cities in Connecticut are hiring for Insurance Data Processing jobs? Cities in Connecticut with the most Insurance Data Processing job openings:
Senior Data Engineer (Requiring GCP)

Senior Data Engineer (Requiring GCP)

CVS Health

Hartford, CT • On-site, Remote

$92K - $203K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago


CVS Health rating

5.8

Company rating: 5.8 out of 10

Based on 4,248 frontline employees who took The Breakroom Quiz

77th of 99 rated pharmacies


Job description

We're building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health, you'll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselvesaccountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

Position Summary
We seek a highly skilled Senior Cloud Engineer to join our Medicare Member Experience (MX) data science team. In this role, you will build and maintain the cloud infrastructure, data pipelines, and deployment workflows that turn our team's machine learning models into reliable, production-grade services that support STARS ratings. You will work across three key areas: cloud data engineering on Google Cloud Platform, backend API development, and DevOps/container orchestration. You will collaborate with data scientists, product owners, and business stakeholders to deliver scalable, well-architected solutions that move insights from development to production.


Required Qualifications

  • 4+ years of industry experience in cloud engineering, data engineering, or platform engineering
  • Hands-on experience with Google Cloud Platform services (BigQuery, Composer/Airflow, Dataproc, Cloud Storage)
  • Experience building and deploying backend APIs and cloud-native services
  • Solid expertise with containerization and orchestration (Docker, Kubernetes, GKE)
  • Proficiency in Python for data processing, orchestration, or backend services
  • Strong SQL skills, particularly with BigQuery or similar cloud data warehouses
  • Experience building and operating data pipelines and ETL/ELT workflows in a production environment
  • Experience building and maintaining CI/CD pipelines (e.g., GitHub Actions, Jenkins), including automated testing and environment promotion
  • Understanding of infrastructure-as-code, cloud reliability, and production incident response
  • Experience enabling adoption of GenAI capabilities with production-ready deployment and governance patterns
  • Self-directed problem solver willing to read documentation, research solutions, and reach out across teams to drive results
  • Strong communication skills, including the ability to explain technical concepts to non-technical stakeholders
  • Bachelor's degree in computer science, engineering, or related field


Preferred Qualifications

  • Experience with Vertex AI (pipelines, model deployment, batch/online inference, or GenAI integration)
  • Practical MLOps experience, including model serving, monitoring, and retraining workflows
  • Experience with distributed data processing frameworks such as Apache Spark or Apache Beam (Dataproc, Dataflow)
  • Experience with Cloud SQL/PostgreSQL and performance optimization for analytical serving patterns
  • Familiarity with healthcare or insurance data ecosystems, or other regulated environments
  • Experience improving platform reliability through observability, documentation, and operational playbooks
  • Experience optimizing cloud infrastructure for cost, performance, and resiliency
  • Experience building internal tools or product-facing analytics applications
  • Advanced degree in computer science, engineering, or related field


Education

  • Bachelor's Degree or equivalent work experience required

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$92,700.00 - $203,940.00

This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.

Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This fulltime position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial wellbeing of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.


Additional details about available benefits are provided during the application process and on Benefits Moments.

We anticipate the application window for this opening will close on: 07/08/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.


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