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Insurance Data Engineer Jobs in Riverside, CT (NOW HIRING)

K Health

Senior Data Engineer

New York, NY · Hybrid

$116K - $157K/yr

Our data engineering team is looking for an experienced professional with expertise in SQL, Python ... Competitive health, dental, and vision insurance options

OTC Markets Group Inc

AVP, Data Engineer

New York, NY · On-site

AVP, Data Engineer OTC Markets Group - New York, NY - Full Time OTC Markets Group Inc., operator of ... Income Protection (Life Insurance, Short- & Long-Term Disability) * Voluntary Benefits (Accident ...

Hearst

Principal Data Engineer

New York, NY

The Principal Data Engineer will lead the end-to-end design and implementation of scalable ... life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.

Contact Government Services, LLC

Sr. Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Sr. Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Amazon

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

We're looking for a senior Data Engineer who brings: - Deep SQL fluency and 5+ years architecting ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

CookUnity

Staff Data Engineer

New York, NY

You will partner closely with the engineering team to translate data needs into scalable ... Health Insurance coverage 401k Plan Unlimited PTO 5- year Sabbatical: After 5 years with CookUnity ...

CookUnity

Staff Data Engineer

New York, NY · On-site

You will partner closely with the engineering team to translate data needs into scalable ... Health Insurance coverage 401k Plan Unlimited PTO 5- year Sabbatical: After 5 years with CookUnity ...

Garner Health

Data Engineer II

New York, NY · On-site

$166K - $205K/yr

We are seeking an exceptional Data Engineer II to join our Engineering team, with a high sense of ... Familiarity with healthcare or insurance * Familiarity with data security and HIPPA compliance * A ...

CookUnity

Staff Data Engineer

New York, NY

You will partner closely with the engineering team to translate data needs into scalable ... Benefits: 🩺 Health Insurance coverage 🌅 401k Plan ⛱ Unlimited PTO 🗓️ 5- year ...

Garner Health

Data Engineer II

New York, NY · On-site

$166K - $205K/yr

We are seeking an exceptional Data Engineer II to join our Engineering team, with a high sense of ... Familiarity with healthcare or insurance * Familiarity with data security and HIPPA compliance * A ...

Dentsu, Inc.

Director, Staff Data Engineer

New York, NY · On-site

$113K - $160K/yr

It is responsible for overseeing data engineering activities and aiding in building the business ... Benefits available with this position include: • Medical, vision, and dental insurance, • Life ...

Metropolis

Senior Data Engineer

New York, NY · On-site

$160K - $220K/yr

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data ... insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite

Metropolis

Senior Data Engineer

New York, NY · On-site

$160K - $220K/yr

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data ... basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite ...

Metropolis

Senior Data Engineer

New York, NY

$160K - $220K/yr

Who you are As a Senior Data Engineer at Metropolis, you will play a key role in shaping data ... basic life insurance, a lucrative stock option plan, bonus plans and more. #LI-CM1 #LI-Onsite ...

DRW

Equities Data Engineer

New York, NY · On-site

$175K - $200K/yr

We are seeking an Equities Data Engineer to join the MASS (Multi-asset Systematic Strategies ... dental and vision insurance, 401k (with discretionary employer match), short and long-term ...

Garner Health

Senior Data Engineer

New York, NY · On-site

$220K - $245K/yr

We are seeking an exceptional Senior Data Engineer with a high sense of ownership who is excited ... Familiarity with healthcare or insurance * Familiarity with data security and HIPAA compliance * A ...

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Showing results 1-20

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Riverside, CT

Insurance Data Engineer information

See Riverside, CT salary details

$47.2K

$137.5K

$188.1K

How much do insurance data engineer jobs pay per year?

As of Jun 25, 2026, the average yearly pay for insurance data engineer in Riverside, CT is $137,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,300.00 and $145,700.00 per year, depending on experience, location, and employer.

What health insurance covers Wegovy?

As an Insurance Data Engineer, understanding insurance coverage is essential. Coverage for Wegovy, a prescription weight management medication, varies by insurance plan and provider. Many health insurance plans, including some employer-sponsored plans and Medicare, may cover Wegovy if prescribed for approved indications, but prior authorization is often required.

What is the best cheapest insurance?

As an Insurance Data Engineer, evaluating the cheapest insurance involves analyzing data from multiple providers to identify affordable options that meet coverage needs. Comparing quotes, understanding policy details, and using data analysis tools can help find cost-effective insurance plans. However, the cheapest option may not always offer the best coverage, so balancing cost and coverage is essential.

What are Insurance Data Engineers?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

Does health insurance cover a pacemaker?

As an Insurance Data Engineer, you should know that health insurance typically covers pacemaker implantation and related procedures if deemed medically necessary, though coverage details vary by plan. Patients usually need prior authorization, and coverage may include device costs, surgery, and follow-up care. It is important to review specific policy terms and provider networks for accurate coverage information.

What are the key skills and qualifications needed to thrive as an Insurance Data Engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

Who does the cheapest insurance?

Insurance Data Engineers analyze data to help insurance companies identify cost-effective policies and pricing strategies. The cheapest insurance options typically depend on factors like coverage needs, customer profile, and provider discounts, rather than a specific role. Consumers should compare quotes from multiple providers to find the most affordable coverage.

How does an Insurance Data Engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.
What cities near Riverside, CT are hiring for Insurance Data Engineer jobs? Cities near Riverside, CT with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Senior Data Engineer

Senior Data Engineer

K Health

New York, NY • Hybrid

$116K - $157K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

About the role:

Our data engineering team is looking for an experienced professional with expertise in SQL, Python, and strong data modeling skills. In this role, you will be at the heart of our data ecosystem, designing and executing cross-engineering initiatives and projects, as well as developing high-quality data pipelines and models that drive decision-making across the organization. You will play a key role in ensuring data quality, building scalable systems, and supporting cross-functional teams with clean, accurate, and actionable data.

This role requires onsite presence in our New York City office 4 days a week and does not provide immigration support. 

What you will do:

  • Design, develop, and optimize data services and solutions required to support various company products (like FeatureStore or synthetic data management); Work closely with data analysts, data scientists, engineers, and cross-functional teams to understand data requirements and deliver high-quality solutions.
  • Design and integrate LLM- and agent-based capabilities into data platforms and services, enabling smarter data operations and AI-driven data products.
  • Design, develop, and optimize scalable data pipelines to ensure data is clean, accurate, and ready for analysis.
  • Build and maintain robust data models that support clinical, business intelligence, and operational needs.
  • Implement and enforce data quality standards, monitoring, and best practices across systems and pipelines.
  • Manage and optimize large-scale data storage and processing systems to ensure reliability and performance.

What we're looking for: 

  • 5+ years of experience as a Data Engineer / Backend Engineer (with strong emphasis on data processing)
  • Python Proficiency: Proven ability to build services, solutions, data pipelines, automations, and integration tools using Python.
  • SQL Expertise: Deep experience in crafting complex queries, optimizing performance, and working with large datasets.
  • Strong knowledge of data modeling principles and best practices for relational and dimensional data structures.
  • A passion for maintaining data quality and ensuring trust in business-critical data.

Bonus:

  • Experience with cloud platforms (e.g., AWS, GCP, or Azure) for data engineering and storage solutions.
  • Knowledge of data orchestration tools (e.g., Airflow)
  • Understanding of CI/CD practices and version control systems.
  • Experience with Kubernetes.
  • Experience in ML/AI development.

Benefits & Perks:  #LI-Hybrid

  • Hybrid work schedule with weekly lunches and stocked fridges 
  • Monthly social committees for company events
  • 18 vacation days, 9 company holidays, 5 sick days, and 2 personal days 
  • Stock options for every full-time employee 
  • Paid parental leave
  • 401k benefit
  • Commuter Benefits 
  • Competitive health, dental, and vision insurance options 

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