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Insurance Data Engineer Jobs in Connecticut (NOW HIRING)

Berkley

Data Engineer

Greenwich, CT

$128K - $154K/yr

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

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 ...

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 ...

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Hartford Insurance Group, CT, 06155 Duration: 6+ Months Pay: $70-$80/hr on W2 Key Responsibilities Serve as subject matter expert and/or technical lead for large-scale data products. Drive end-to-end ...

The Hartford

Data Engineer

Hartford, CT · Hybrid

$100K - $151K/yr

Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Chubb

Sr. Data Engineer

Simsbury, CT

$116K - $139K/yr

Chubb is a world leader in insurance. With operations in 54 countries, Chubb provides commercial ... Proven experience in Python programming and data manipulation. * Knowledge of Databricks and its ...

Trexquant Investment

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data ... PPO health, dental, and vision insurance premiums fully covered for you and your dependents. * Pre ...

New

Trexquant Investment

Senior Data Engineer

Stamford, CT · On-site

$150K - $200K/yr

Trexquant is seeking an experienced Senior Data Engineer to build and maintain the core data ... PPO health, dental, and vision insurance premiums fully covered for you and your dependents. * Pre ...

New

Subway

Sr. Data Engineer

Wallingford, CT

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

subway

Sr. Data Engineer

Shelton, CT · On-site

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Subway

Sr. Data Engineer

Ansonia, CT · On-site

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Subway

Sr. Data Engineer

North Branford, CT

$105K - $142K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Subway

Sr. Data Engineer

New Haven, CT

$106K - $144K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Subway

Sr. Data Engineer

Branford, CT

$104K - $142K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Subway

Sr. Data Engineer

Wilton, CT

$110K - $149K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Subway

Sr. Data Engineer

Naugatuck, CT

$107K - $146K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

Subway

Sr. Data Engineer

Orange, CT · On-site

$113K - $154K/yr

Senior Data Engineer Ready to build what's next with one of the world's most iconic brands? Why ... Insurance Plans (Medical, Life) * Pension/401K/RSP (country specific) * Competitive Bonus

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Connecticut

Insurance Data Engineer information

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 are popular job titles related to Insurance Data Engineer jobs in Connecticut? For Insurance Data Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Connecticut look for? The top searched job categories for Insurance Data Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for Insurance Data Engineer jobs? Cities in Connecticut with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Data Engineer

Data Engineer

Berkley

Greenwich, CT

$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

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