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

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

About the role You'll be the first Data Engineer at Tabs, building the core data infrastructure ... Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program ...

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

About the role You'll be the first Data Engineer at Tabs, building the core data infrastructure ... Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program ...

Uncountable

Scientific Data Engineer

New York, NY · On-site

$125K - $150K/yr

Uncountable is seeking recent graduates interested in a career in data engineering to help manage ... Insurance 401K with Employer Contribution 17 days PTO annually What's next? Learn more about ...

Lightning AI

Data Engineer

New York, NY · On-site

$188K - $275K/yr

As our first Data Engineer , you will help us get there. This is an early, high-scope role ... Private medical and dental insurance (U.K.) * Retirement and financial wellness support (U.S.

Headway

Staff Data Engineer

New York, NY · On-site

$212K - $265K/yr

We started by solving the biggest barrier to care: insurance. The admin work - credentialing ... About Data Engineering at Headway Headway is looking for a Staff Data Engineer to help us get ...

Stuut, Inc.

Data Engineer

New York, NY · On-site

$135K - $190K/yr

You'll work closely with our product and engineering teams to transform raw financial data into ... Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO

Garner Health

Data Engineer III

New York, NY · On-site

$166K - $205K/yr

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

Stuut

Data Engineer

New York, NY · On-site

$135K - $190K/yr

You'll work closely with our product and engineering teams to transform raw financial data into ... Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO

Actively AI

Data Engineer

New York, NY · On-site

$125K - $150K/yr

You'll work at the intersection of data engineering, analysis, and product thinking - building the ... insurance, retirement benefits, and unlimited PTO. Additionally, this role may be eligible for ...

Talkspace Corporate

Senior Data Engineer

New York, NY · On-site +1

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... or pet insurance, etc. * Monthly Wellness Stipend to promote mental and physical self-care

Talkspace Corporate

Senior Data Engineer

New York, NY

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... or pet insurance, etc. * Monthly Wellness Stipend to promote mental and physical self-care

Headway

Senior Data Engineer

New York, NY · On-site

$180K - $225K/yr

We started by solving the biggest barrier to care: insurance. The admin work - credentialing ... About the Data Engineering Team Headway is looking for a Senior Data Engineer to help bring us ...

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.

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

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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 Jul 15, 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.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

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.

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.

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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
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
Infographic showing various Insurance Data Engineer job openings in Riverside, CT as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 74% In-person, 18% Hybrid, and 8% Remote job distribution, with an average salary of $137,460 per year, or $66.1 per hour.
Data Engineer

Data Engineer

Tabs

New York, NY • On-site

$160K - $195K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 days ago

Job description

Tabs is the leading AI-native revenue platform for modern finance and accounting teams. Tabs agents automate the entire contract-to-cash lifecycle, including billing, collections, revenue recognition, and reporting, to help teams eliminate manual work and accelerate cash flow.
High-growth companies like Cursor and Statsig rely on Tabs to generate invoices directly from contracts, reconcile payments in real time, and automate ASC 606 compliance.
Founded in 2023, Tabs has raised over $91 million from Lightspeed Venture Partners, General Catalyst, and Primary. The team is headquartered in New York and brings deep expertise in finance and AI.
About the role
You'll be the first Data Engineer at Tabs, building the core data infrastructure that powers our internal KPIs, customer insights, and our AI systems. Your initial mandate is to design and implement the foundational data platform around our core metrics, and set us up for long-term analytical scalability.
This role is ideal for an engineer who has built a data platform end to end and wants ownership of the full data stack. You're comfortable operating in ambiguity and focused on driving real business impact.
What you'll do
  • Design and implement our first scalable data warehouse/lakehouse to support KPIs.
  • Build and maintain reliable data pipelines (batch and/or streaming) from application databases and third-party tools.
  • Work with leadership to translate business metrics into concrete data models and schemas.
  • Define and own data modeling standards and best practices.
  • Implement monitoring, data quality checks, and observability around pipelines and core tables.
  • Enable BI and data analysts through well structured models and self-serve friendly datasets.
  • Document the data platform (lineage, definitions, contracts) and help establish a shared source of truth for metrics.
Experience
  • 5+ years of experience as a Data Engineer, ideally in a mid-stage startup.
  • Solid programming skills in Python.
  • Strong SQL skills and experience designing/data modeling for analytics
  • Hands-on experience with a modern cloud data stack, such as:
    • Warehouses: Snowflake, BigQuery, Redshift, Databricks, etc.
    • Orchestration/transformation: dbt, Airflow, Dagster, or similar.
    • Ingestion: Fivetran, Stitch, custom ingestion pipelines, etc.
  • Experience building and operating production-grade data pipelines (performance, reliability, cost-awareness).
  • Strong understanding of data quality, testing, and monitoring practices.
  • Comfort starting from a relatively greenfield environment and making pragmatic build vs. buy decisions.

Nice to have
  • Experience supporting BI tools (Looker, Mode, Tableau, Metabase, etc) and designing semantic layers.
  • Experience in B2B SaaS, especially around revenue, usage, and customer health metrics.
  • Prior experience as an early data hire or working in a small or medium, fast-growing startup

Perks and Benefits (Full-time Employees)
  • Competitive compensation and equity
  • Unlimited PTO
  • Up to 100% employer covered monthly healthcare premium (medical, dental, vision)
  • Lunch provided via Sharebite, plus dinner for any later in office days.
  • Parental leave up to 12 weeks
  • Tax free commuter and parking benefits
  • Voluntary insurances (Life, Hospital, Critical Illness, Accident)
  • Employee Assistance Program (Rightway)
  • Free One Medical Membership
  • 401k

Tabs is an equal opportunity employer. We welcome teammates of all identities and do not discriminate on the basis of race, ethnicity, religion, gender identity, sexual orientation, age, disability, veteran status, or any other protected characteristic. We're committed to creating an environment where everyone can grow, contribute, and feel comfortable being themselves.

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