Berkley
Berkley

60 Berkley Data Jobs Hiring Near You

Data Engineer

Greenwich, CT

$128K - $154K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design ...

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem ...

Data Engineer

Greenwich, CT

$128K - $154K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving ...

Berkley Corporation has grown from a small investment management firm into one of the largest ... Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ...

Berkley Corporation has grown from a small investment management firm into one of the largest ... The Actuary/Data Scientist will leverage strong analytical and coding skills to support data ...

Berkley Corporation has grown from a small investment management firm into one of the largest ... Responsibilities The Actuary/Data Scientist will leverage strong analytical and coding skills to ...

Self-starters can thrive with Berkley Select with access to data and tech that helps them drive business decisions. Key responsibilities include: Broker Management * Manage key and/or target broker ...

Self-starters can thrive with Berkley Select with access to data and tech that helps them drive business decisions. Key responsibilities include: Broker Management * Manage key and/or target broker ...

Senior Underwriter - D&O

Chicago, IL · On-site

$115K - $125K/yr

Self-starters can thrive with Berkley Select with access to data and tech that helps them drive business decisions. Key responsibilities include: Broker Management * Manage key and/or target broker ...

Manager, Ceded Reinsurance Finance

Greenwich, CT · On-site

$99K - $130K/yr

Berkley Corporation has grown from a small investment management firm into one of the largest ... Oversee reconciliations and data integrity across systems * Partner cross-functionally and support ...

Berkley Corporation has grown from a small investment management firm into one of the largest ... Oversee reconciliations and data integrity across systems * Partner cross-functionally and support ...

R. Berkley Corporation is comprised of 60+ businesses alongside Berkley Technology Services (BTS ... Embed secure-by-design principles across cloud, applications, data, and AI * Establish reusable ...

Berkley Corporation has grown from a small investment management firm into one of the largest ... Oversee reconciliations and data integrity across systems * Partner cross-functionally and support ...

Senior Sales Underwriter

Irving, TX · On-site

$91K - $108K/yr

Berkley operating unit offering preferred inland marine and related property risks and services ... data, evaluate financial stability, and use financial insights to guide risk assessments and ...

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Berkley Jobs Information

What is it like to work at Berkley?

Berkeley Lab, a research university, is known for its collaborative and inclusive environment, where scientists and engineers work together to advance knowledge and address global challenges.

The lab's structure is organized into various divisions and departments, each focusing on specific areas such as energy, climate, and national security, with a diverse range of projects and research initiatives. The work environment is dynamic, with opportunities for interdisciplinary collaboration and professional growth.

Working at Berkeley Lab may appeal to individuals who are passionate about scientific research and innovation, as the lab offers a unique opportunity to contribute to cutting-edge projects and make a meaningful impact in various fields, from energy and climate to medicine and national security.

What makes Berkley an attractive place to work?

Berkeley is a well-established and respected company in its industry, known for its commitment to innovation and customer satisfaction. The company's workplace culture values collaboration, diversity, and continuous learning, offering employees opportunities to work on challenging projects and develop their skills in a dynamic environment. Joining Berkeley can provide professionals with a chance to contribute to meaningful projects, advance their careers, and be part of a forward-thinking organization that prioritizes growth and development.

What are the most popular job types at Berkley?

    Infographic showing various Data job openings at Berkley in the United States as of August 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 66% Physical, 18% Hybrid, and 16% Remote job distribution.

    $128K - $154K/yr

    Full-time

    Re-posted 5 days ago


    Job description

    "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. 


    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.

    • 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 not Offered for this Role