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Insurance Data Engineer Jobs (NOW HIRING)

W. R. Berkley Corporation

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Berkley Corporation is one of the largest commercial lines property and casualty insurers in the United States. They are seeking a Data Engineer to design, build, and operate data platforms that ...

Cynet Systems

Data Engineer

Atlanta, GA · On-site

$50 - $55/hr

Experience in Healthcare, Health Insurance, or Life Sciences domain. * Exposure to AI/ML data ... Data Engineering. * Data Pipeline Development. * ETL/ELT Design and Development. * Data Warehousing ...

New

Berkley

Data Engineer

Greenwich, CT

$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 ...

Cape Fox SS

Data Engineer

Fort Belvoir, VA · On-site

$185K - $220K/yr

... health insurance, dental insurance, vision insurance, life and disability insurance, tuition ... Top Secret with SCI eligibility and CI polygraph 8+ years in data engineering/database ...

EPIC Brokers

Lead Insurance Data Scientist

Atlanta, GA · On-site

$150/hr

Working within a lean, high-impact team, you will collaborate closely with solution engineers and ... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ...

EPIC Brokers

Lead Insurance Data Scientist

Chicago, IL · On-site

$150/hr

Working within a lean, high-impact team, you will collaborate closely with solution engineers and ... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ...

SciTec

Data Engineer

Princeton, NJ · On-site +1

$105K - $125K/yr

SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and ... Short-term Disability insurance * Annual Profit-Sharing Plan * Discretionary Performance Bonus

ELEVATE AVIATION GROUP LLC

Data Engineer

Plano, TX

$107K - $128K/yr

Description Job Title- Data Engineer Department- Systems & Technology Reports to- VP, Software ... Medical, dental, and vision insurance; employer-paid life and AD&D insurance; employee assistance ...

SciTec

Data Engineer

Princeton, NJ · On-site

$105K - $125K/yr

SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and ... Short-term Disability insurance * Annual Profit-Sharing Plan * Discretionary Performance Bonus

Magnus Management Group LLC

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Health insurance * Paid time off * Vision insurance Seeking a Data Engineer responsible for designing, developing, and maintaining scalable enterprise data pipelines supporting advanced fraud ...

CosmoProf

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with ...

Level Up Llc

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to ... For insurance protection, we offer basic life insurance, accidental death and dismemberment (AD&D ...

SciTec

Data Engineer

Princeton, NJ · On-site

$105K - $125K/yr

SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and ... Short-term Disability insurance * Annual Profit-Sharing Plan * Discretionary Performance Bonus

Metropolitan Companies

Data Engineer

Wyomissing, PA · On-site

$110K - $132K/yr

Data Engineer Department: IT Development Employment Type: Full Time Location: Metropolitan ... We offer a competitive compensation package including medical, dental, vision, life insurance ...

Sally Beauty Holdings

Data Engineer

Plano, TX · Hybrid

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with ...

eMed LLC

Data Engineer

Miami, FL · On-site

$109K - $131K/yr

Data Engineer Location: Miami, FL Reports to: Director of Data Department: Engineering About eMed ... Life Insurance (Basic, Voluntary & AD&D) * Paid Time Off * Short Term & Long Term Disability

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All JobsInsurance Data Engineer Jobs

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 Aug 7, 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.

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.
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, 74% Full Time, 20% 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

W. R. Berkley Corporation

Greenwich, CT • On-site

$128K - $154K/yr

Full-time

Re-posted 28 days ago

W.R. Berkley rating

9.0

Company rating: 9.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

36th of 303 rated insurance

Job description

Job Summary:
W. R. Berkley Corporation is one of the largest commercial lines property and casualty insurers in the United States. They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows.
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 (e.g., Spark‑based pipelines).
• Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
• Apply AI‑assisted engineering approaches, including LLM‑enabled 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, trade‑offs, and limitations clearly to technical and non‑technical stakeholders.
• Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.
Qualifications:
Required:
• 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 LLM‑based 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.
Company:
Founded in 1967, W. R. Founded in 1967, the company is headquartered in Greenwich, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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