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Insurance Data Engineer Jobs in Perth Amboy, NJ (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 ...

Ceritypartners

Data Engineer

New York, NY

$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% ...

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% ...

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

About the role You'll be the first Data Engineer at Tabs, building the core data infrastructure ... Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program ...

Tabs

Data Engineer

New York, NY · On-site

$160K - $195K/yr

About the role You'll be the first Data Engineer at Tabs, building the core data infrastructure ... Voluntary insurances (Life, Hospital, Critical Illness, Accident) * Employee Assistance Program ...

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 ...

Colgate-Palmolive Company

Data Engineer

Piscataway, NJ · On-site

$96K - $137K/yr

You will bring engineering rigour to data - treating pipelines, models, and infrastructure as ... life insurance, paid parental leave, disability coverage, and participation in the 401(k) ...

David Protein

Data Engineer

New York, NY

$150K - $200K/yr

The Data Engineer will co-own David's data infrastructure and build AI-powered workflows that ... Company equity opportunity * 100% covered Health, Vision, Dental Insurance * 401(k) * Additional ...

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 ...

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 ...

United Airlines

AWS Data Engineer

Manhattan, NY · On-site

$126K - $151K/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 ...

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 ...

Centraprise

Lead Data Engineer

Jersey City, NJ · On-site

$112K - $147K/yr

Lead Data Engineer Experience Required: 12 years+ Location: Jersey City, NJ | Onsite Employment ... Familiarity with the US insurance/reinsurance domain + P&C Insurance knowledge * Knowledge of Data ...

Garner Health

Data Engineer III

New York, NY · On-site

$166K - $205K/yr

We are seeking an exceptional Data Engineer III to join our Engineering team, with a high sense of ... Familiarity with healthcare or insurance * Familiarity with data security and HIPPA compliance * A ...

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Showing results 41-60

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Perth Amboy, NJ

Insurance Data Engineer information

See Perth Amboy, NJ salary details

$45.7K

$133.3K

$182.4K

How much do insurance data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for insurance data engineer in Perth Amboy, NJ is $133,293.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $141,300.00 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 are popular job titles related to Insurance Data Engineer jobs in Perth Amboy, NJ?

For Insurance Data Engineer jobs in Perth Amboy, NJ, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Perth Amboy, NJ look for?

The top searched job categories for Insurance Data Engineer jobs in Perth Amboy, NJ are:

What cities near Perth Amboy, NJ are hiring for Insurance Data Engineer jobs?

Cities near Perth Amboy, NJ 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

Posted 21 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.
About Us:
The Carlyle Group (NASDAQ: CG) is a global investment firm with $475 billion of assets under management, across 678 investment vehicles as of March 31, 2026. Founded in 1987 in Washington, DC, Carlyle has grown into one of the world's largest and most successful investment firms, with more than 2,500 professionals operating in 28 offices in North America, Europe, the Middle East, Asia and Australia.
Carlyle's purpose is to connect people, ideas, and capital to fuel growth for companies and performance for investors, which range from public and private pension funds to wealthy individuals and families to sovereign wealth funds, unions and corporations. Carlyle invests across three segments - Global Private Equity, Global Credit and Carlyle AlpInvest - and has deep expertise across industries, markets, and geographies.
At Carlyle, we believe that a wide spectrum of experiences and viewpoints drives performance and success. Our CEO, Harvey Schwartz, has stated that, "To build better businesses and create value for all of our stakeholders, we are focused on assembling leadership teams with the strongest insights from a range of perspectives." Reflecting this view, emphasis is placed on development, retention and inclusion through our internal processes and seven Employee Resource Groups (ERGs). We cultivate a culture where ideas are openly shared and challenged, connecting diverse expertise and perspectives to drive enduring value.

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