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Insurance Data Engineer Jobs in New Jersey (NOW HIRING)

Lead AWS Data Engineer

Jersey City, NJ ยท On-site

$112K - $147K/yr

We are seeking an experienced Lead Data Engineer to support complex data engineering initiatives within our insurance data and analytics practice. This role combines Deep technical expertise with ...

New

Data Engineer

Rutherford, NJ ยท On-site

$116K - $140K/yr

ECLARO is hiring for a Data Engineer for their client, a leading insurance company providing risk management services to the energy industry. The role involves developing and testing data integration ...

Lead AWS Data Engineer

Jersey City, NJ ยท On-site

$107K - $140K/yr

... Data Engineer to support complex data engineering initiatives within our insurance data and ... Architect scalable ELT/ETL workflows and data warehouse models supporting insurance analytics use ...

Data Engineer

Princeton, NJ ยท On-site

$100K - $120K/yr

Data Engineer CURE Auto Insurance is a leading direct writer of auto insurance in New Jersey, Pennsylvania, and Michigan. CURE offers a great working environment, competitive salary, and ...

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

Data Engineer

Princeton, NJ ยท 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

Data Engineer

Princeton, NJ ยท 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

Data Engineer

Princeton, NJ ยท 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

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

You will also guide engineers and reinforce strong delivery practices, while advancing the team ... Insurance data modelingforanalytics and actuarial-ready data structures * MLOpsfamiliarity ...

Data Engineer

Princeton, NJ

$120K - $144K/yr

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies ... Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life ...

Data Engineer

Princeton, NJ

$120K - $144K/yr

We're looking for a Data Engineer who is passionate about modern data platforms, cloud technologies ... Health & Wellness We provide comprehensive medical, dental, and vision insurance, as well as life ...

AWS Data Engineer

Newark, NJ ยท On-site

$119K - $143K/yr

Global Insurance Company (Life Insurance Preferred) Job Overview We are looking for a Senior AWS Data Engineer / Senior Cloud Engineer to join the Global Technology team supporting a major Insurance ...

Data Engineer

Paramus, NJ ยท On-site

$169K - $175K/yr

Position Purpose: The Data Engineer is responsible for designing, building, and maintaining ... insurance, savings accounts, tuition reimbursement, paid volunteering and more. In addition ...

Data Engineer

Paramus, NJ ยท Hybrid

$169K - $175K/yr

Position Purpose: The Data Engineer is responsible for designing, building, and maintaining ... insurance, savings accounts, tuition reimbursement, paid volunteering and more. In addition ...

Head of Data Engineering

Fort Lee, NJ ยท On-site

$180 - $230/hr

We work with some of America's largest insurance brands to attract, educate and connect with consumers. Our diverse team of analysts, writers, engineers, designers, business leads, data scientists ...

New

The Data Engineer will be responsible for management and maintenance of our critical database ... insurance, disability insurance (STD/LTD), company matched 401(k), very competitive tuition ...

Data Engineer

Princeton, NJ ยท On-site

$130K - $160K/yr

The Data Engineer will be responsible for management and maintenance of our critical database ... insurance, disability insurance (STD/LTD), company matched 401(k), very competitive tuition ...

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Insurance Data Engineer information

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.
What job categories do people searching Insurance Data Engineer jobs in New Jersey look for? The top searched job categories for Insurance Data Engineer jobs in New Jersey are:
What cities in New Jersey are hiring for Insurance Data Engineer jobs? Cities in New Jersey with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in New Jersey as of August 2026, with employment types broken down into 92% Full Time, and 8% Contract. Highlights an 100% In-person job distribution.

$116K - $139K/yr

Other

Re-posted 14 days ago


Job description

Remote position with the ability to travel to our NJ and NY locations up to 25% of the time.
Position Summary: Data Engineer with previous experience in the insurance domain, design, build, and maintain scalable data pipelines and models that power analytics and Generative AI initiatives. The Data Engineer will collaborate closely with analysts and engineers, to understand data needs, develop efficient solutions, and ensure the integrity, performance, and security of our data systems.
Essential Duties and Responsibilities:
  • Analyze integration and system requirements by understanding business needs and designing effective data solutions, particularly for Guidewire Policy, Billing Center and Commercial P&C data domains.
  • Design, develop, and optimize ELT pipelines to ingest, transform, and load data into a Delta Lakehouse platform.
  • Design, Develop and maintain data models and schemas ensuring data quality and integrity.
  • Build and maintain dashboards and reports delivering actionable business insights.
  • Monitor pipeline and storage performance; troubleshoot and resolve data issues promptly.
  • Collaborate with cross-functional teams, including analysts and business users, to deliver end-to-end insurance data solutions.
  • Implement data governance, security, and compliance standards across platforms.
  • Conduct root cause analysis for system failures and performance events; drive continuous improvements in enterprise data integration pipelines.
  • Create and manage testing procedures (unit, scenario, end-to-end) to ensure pipeline reliability.
  • Stay current with emerging technologies and recommend improvements to workflows.
  • Mentor team members on data engineering tools, Guidewire data model concepts and best practices.
  • Build and maintain data pipelines to process structured and unstructured data (like documents and text) for Generative AI tasks, including creating embeddings and working with vector databases to support AI search features.
  • Prepare and clean large datasets to ensure high-quality inputs for training and fine-tuning Generative AI models.
  • Collaborate with AI and data science teams to understand data requirements and deliver scalable solutions that support model training and inference.
  • Implement processes to enrich data with metadata and context to improve AI model accuracy and relevance.
  • Optimize data storage and retrieval methods to support fast, low-latency responses for AI-powered applications.
  • Monitor data workflows for Generative AI projects, troubleshooting issues, and ensure continuous pipeline performance.

Education and Experience:
  • Bachelor's degree in relevant field of study required(e.g. computer science, data science, data analytics, applied mathematics, etc.)
  • 5+ years of progressive work experience in IT or a related field required.
  • 3+ years of experience in data engineering and analytics, with a solid foundation in data architecture and integration, including hands-on work with complex enterprise P& C Insurance data models required.
  • 2+ years of experience with data-centric projects within the Guidewire ecosystem, including working with Guidewire Policy Center and related data structures required.
  • In-depth understanding of relational database systems (e.g., Oracle, SQL Server, MySQL), including their features and performance optimization strategies.
  • Solid grasp of ETL processes, data pipeline architectures, and data integration techniques, particularly for operational source systems such as Guidewire.
  • 2+ years of hands-on experience with Azure Databricks, Azure data factory including developing and optimizing data pipelines using Apache Spark required.
  • 2+ years of experience working with Power BI or other leading data visualization and reporting tools required.
  • Proven expertise with Apache Spark, Delta Lakehouse, and data warehousing technologies required.
  • Proficient in Microsoft Azure services, including:
    • Azure SQL Database
    • Azure Data Lake Storage Gen2
    • Azure Event Grid
    • Azure Key Vault
  • Strong understanding of CI/CD pipelines and experience in Agile development environments.
  • Demonstrated ability to troubleshoot system issues, identify root causes, and implement effective solutions quickly.
  • Capable of managing multiple priorities with strong attention to detail and follow-through.
  • Working knowledge of Generative AI frameworks and use cases in data engineering is a plus.
  • Knowledge of data governance, metadata management, and data quality frameworks.
  • Understanding of data security and privacy principles, including encryption, anonymization, and access control mechanisms.
  • Proficient in Microsoft Office Suites
Skills:
  • Strong understanding of the Insurance Domain and Experience using Guidewire CDA data model to build use case specific datasets.
  • Data Modeling
  • Expertise in Azure Databricks, Azure Data Factory, Apache Spark, and data pipeline development for scalable data engineering solutions
  • Collaboration with cross-functional groups
  • Strong analytical and problem-solving skills, with the ability to translate business requirements into practical data solutions.

The salary range for this role is $86,800 - $160,700. The listed annual salary range posted for this position is subject to change and may vary depending on performance, education, experience, skills, geographic location, travel requirements, demonstrated proficiency in the competencies required for the role and business needs. Base pay is just one component of GNY's total compensation package for employees. Other rewards include eligibility for an annual discretionary bonus based on performance.