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Insurance Data Engineer Jobs (NOW HIRING)

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest ... Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest ... Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Vision insurance Rysun Labs (formerly KCS - Krish Compusoft Services) is an AI, Data & Digital ... Data Engineer Location: Houston Tx Experience: 4-7 Years Mandatory Certification: * Databricks ...

Green River Data Group Inc.

Data Engineer

$117K - $140K/yr

About the Role: Join our growing data team at Green River as a Data Engineer. This role will ... salary, health insurance coverage, 6 weeks of paid time off, retirement benefits, and ESOP ...

Cynet Systems

Data Engineer

Norfolk, VA · On-site

$55 - $60/hr

We are looking for Data Engineer for our client in Norfolk, VA Job Title: Data Engineer Job ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

Green River Data Group Inc.

Data Engineer

$117K - $140K/yr

About the Role: Join our growing data team at Green River as a Data Engineer. This role will ... salary, health insurance coverage, 6 weeks of paid time off, retirement benefits, and ESOP ...

FountAI, Inc.

Data Engineer

Manhattan, NY · On-site

$100 - $140/hr

We're looking for a mid-to-senior Data Engineer to build the data systems that power our AI agents and insurance decisioning platform. You'll own end-to-end pipeline design and development, co-build ...

Guidehouse

Data Engineer

Houston, TX · On-site

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse

Data Engineer

Atlanta, GA

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse

Data Engineer

San Antonio, TX · On-site

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse

Data Engineer

Charlotte, NC

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Green River Data Group Inc.

Data Engineer

$117K - $140K/yr

About the Role: Join our growing data team at Green River as a Data Engineer. This role will ... salary, health insurance coverage, 6 weeks of paid time off, retirement benefits, and ESOP ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

Archgroup

Manager, Data Engineer (Remote)

Home, PA · Remote

$100K - $174K/yr

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

Guidehouse

Data Engineer

Huntsville, AL

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse

Data Engineer

San Antonio, TX · On-site

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

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Insurance Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do insurance data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for insurance data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is an insurance data engineer?

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.

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 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.

More about Insurance Data Engineer jobs

What cities are hiring for Insurance Data Engineer jobs?

Cities with the most Insurance Data Engineer job openings:

What states have the most Insurance Data Engineer jobs?

States with the most job openings for Insurance Data Engineer jobs include:

What job categories do people searching Insurance Data Engineer jobs look for?

The top searched job categories for Insurance Data Engineer jobs are:

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Berkley

Greenwich, CT • On-site

$128K - $154K/yr

Full-time

Re-posted 29 days ago

Key responsibilities

  • Write production-quality code for data ingestion, transformation, orchestration, and monitoring.

  • Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads.

  • Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.

Job description

Company Details

"Our Company provides a state of predictability which allows brokers and agents to act with confidence."

Founded in 1967, W. R. Berkley Corporation has grown from a small investment management firm into one of the largest commercial lines property and casualty insurers in the United States.

Along the way, we've been listed on the New York Stock Exchange, become a Fortune 500 Company, joined the S&P 500, and seen our gross written premiums exceed $10 billion.

Today the Berkley brand comprises more than 60+ businesses worldwide and is divided into two segments: Insurance and Reinsurance and Monoline Excess.  Led by our Executive Chairman, founder and largest shareholder, William. R. Berkley and our President and Chief Executive Officer, W. Robert Berkley, Jr., W.R. Berkley Corporation is well-positioned to respond to opportunities for future growth.

The Company is an equal employment opportunity employer. 

Responsibilities

We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled workflows.

This role is suited to someone who is technically strong, comfortable working independently, and able to translate complexity into robust, welldesigned systems that others can rely on.

The position emphasizes engineering rigor, highquality code, system reliability, and sound judgment over oneoff solutions or purely mechanical implementations. We seek someone to challenge the status quo and find better ways to build and operate data systems. You will advocate for the thoughtful application of modern data engineering, data science, and AI approaches.

Responsibilities

  • Write productionquality code for data ingestion, transformation, orchestration, and monitoring.
  • Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Sparkbased pipelines).
  • Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
  • Apply AIassisted engineering approaches, including LLMenabled tools or agents, to improve data quality, observability, documentation, and productivity.
  • Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
  • Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
  • Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
  • Communicate system design, tradeoffs, and limitations clearly to technical and nontechnical stakeholders.
  • Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.
Qualifications
  • 4-7 years of relevant data engineering, software engineering, or technical experience. A Master's degree in Data Engineering or Computer Science.
  • Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
  • Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
  • Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
  • Experience applying AI, machine learning, or LLMbased tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
  • Experience working with large or complex data flows and creating defensible system designs and implementation plans.
  • Strong professional judgment, curiosity, and attention to detail.
Sponsorship DetailsSponsorship not Offered for this RoleEmployment Type: OTHER

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