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Insurance Data Engineer Jobs in Smithtown, NY (NOW HIRING)

Carlyle

Data Engineer

New York, NY · On-site +1

$150K - $200K/yr

Position Summary We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal ... insurance and disability, paid time off, paid holidays, family planning benefits and various ...

Capgemini

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Key Responsibilities Data Engineering & Pipeline Development • Develop and optimize ETL/ELT ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

Baseten

Data Engineer

New York, NY · On-site

$180K - $250K/yr

THE ROLE We're hiring a Data Engineer to build and scale Baseten's internal data platform. This ... insurance for employee and dependents * Flexible PTO policy including company wide Winter Break ...

Ceritypartners

Data Engineer

New York, NY · On-site

$140K - $180K/yr

As a data engineer at Cerity Partners you will play a leading role maintaining the current--and ... Health, dental, and vision insurance - day 1! * 401(k) savings and investment plan options with 4% ...

Capgemini

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Cerity Partners

Data Engineer

New York, NY · On-site

$140K - $180K/yr

As a data engineer at Cerity Partners you will play a leading role maintaining the current--and ... Health, dental, and vision insurance - day 1! * 401(k) savings and investment plan options with 4% ...

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 ...

Jump Trading

Data Engineer

New York, NY · On-site

$200K - $250K/yr

... Data team. Skills You'll Need: * 7+ years of software engineering experience, with strong ... Travel Medical Insurance * Group Pension Scheme * Group Life Assurance and Income Protection ...

Contact Government Services, LLC

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Link Logistics

Data Engineer

New York, NY · Hybrid

$140K - $155K/yr

Own prompt engineering, eval frameworks, and production reliability. * Data Pipelines - Build ETL ... Link provides a variety of benefits to employees, including health insurance coverage, retirement ...

Link Logistics

Data Engineer

New York, NY · On-site

$140K - $155K/yr

Own prompt engineering, eval frameworks, and production reliability. * Data Pipelines - Build ETL ... Link provides a variety of benefits to employees, including health insurance coverage, retirement ...

Capgemini

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

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 ...

Capgemini

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

We are seeking a skilled AWS Data Engineer to design, build, and optimize scalable data pipelines ... Life and disability insurance * Employee assistance programs * Other benefits as provided by local ...

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

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All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Smithtown, NY

Insurance Data Engineer information

See Smithtown, NY salary details

$45.1K

$131.5K

$179.9K

How much do insurance data engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for insurance data engineer in Smithtown, NY is $131,484.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $139,400.00 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.

What job categories do people searching Insurance Data Engineer jobs in Smithtown, NY look for?

The top searched job categories for Insurance Data Engineer jobs in Smithtown, NY are:

What cities near Smithtown, NY are hiring for Insurance Data Engineer jobs?

Cities near Smithtown, NY with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you

Data Engineer

Carlyle

New York, NY • On-site, Remote

$150K - $200K/yr

Full-time

Medical, Life, Retirement, PTO

Re-posted 9 days ago

Job description

Position Summary
We are seeking a highly skilled Data Engineer to join our dynamic team. The ideal candidate will be responsible for creating robust data pipelines from various data vendors to gold tables, primarily for our Machine Learning (ML) team, utilizing Snowflake and Databricks platforms. The role demands expertise in Python, deep familiarity with financial data sources, and the ability to deploy complex data pipelines efficiently. This position requires a proactive approach to analyzing, aggregating, and enriching financial data from both private and public companies.
Primary Responsibilities
  • Build, scale, and maintain robust data solutions to support the firm's objectives.
  • Implement and optimize high-performance data pipelines -- extraction, loading, transformation, and orchestration - that are designed for scalability, reliability, maintainability, and speed.
  • Lead software development projects end to end involving large language models (LLMs), retrieval-augmented generation (RAG) frameworks, and other AI technologies.
  • Champion modern software engineering practices as CI/CD, infrastructure-as-code, containerization, and cloud-native deployments
  • Collaborate closely with business stakeholders to transform use cases into production-ready services and solutions, owning the system from concept to production.
  • Implement rigorous testing and monitoring practices to maintain superior data quality and integrity.
  • Mentor and develop junior team members, fostering a culture of excellence and continuous learning within the team.
  • Be willing to travel up to 20% of the time to collaborate with distributed team members across locations.

Requirements
Education & Certificates
  • A bachelor's degree, required
  • Concentration in Computer Science, Math, Physics, STEM or other engineering related field, preferred

Professional Experience
  • At least 6 years of experience in data engineering or a related discipline, with a proven track record of success, required
  • Experience in the financial services or private equity industry, preferred

Competencies & Attributes
  • Expertise in Python and SQL, with a strong foundation in data manipulation and analysis.
  • Proficient with Databricks/PySpark and dbt for data warehousing and data transformation tasks.
  • Experience with workflow orchestration tools e.g. Airflow, Temporal
  • Experience working with large language models (LLMs) especially prompt engineering, retrieval-augmented generation (RAG)s, and/or vector databases.
  • Knowledge of fundamental principles of machine learning, feature engineering, and knowledge graphs are pluses.
  • Demonstrated experience in designing and implementing complex data systems from the ground up.
  • Proficient in handling large-scale data projects, including data cleaning, ETL, and information retrieval.
  • Previous experience in a product development or financial services environment is highly desirable.
  • Excellent communication skills required, both verbal and written.

Benefits/Compensation
The compensation range for this role is specific to New York, NY and takes into account a wide range of factors including but not limited to the skill sets required/preferred; prior experience and training; licenses and/or certifications.
The anticipated base salary range for this role is $150,000 to $200,000.
In addition to the base salary, the hired professional will enjoy a comprehensive benefits package spanning retirement benefits, health insurance, life insurance and disability, paid time off, paid holidays, family planning benefits and various wellness programs. Additionally, the hired professional may also be eligible to participate in an annual discretionary incentive program, the award of which will be dependent on various factors, including, without limitation, individual and organizational performance.
Due to the high volume of candidates, please be advised that only candidates selected to interview will be contacted by Carlyle.
Who We Are
When people, ideas, and capital come together, opportunity expands across private markets. At Carlyle, this belief has shaped how we invest for decades, fueling growth for companies and delivering performance for investors.
Visit our website to learn more about our firm and the ways our platform is shaping private markets.

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