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Insurance Data Engineer Jobs in New Jersey (NOW HIRING)

EXL

Fabric Analytics Data Engineer

Newark, NJ · On-site

EXL is seeking a Fabric Analytics Data Engineer to architect and implement data solutions using ... support insurance datasets such as policy, claims, billing, actuarial, and customer information ...

ECLARO

Data Engineer

Rutherford, NJ · 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 ...

Inizio Partners

Lead AWS Data Engineer

Jersey City, NJ

$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 ...

Tandym Tech

Data Engineer

Millburn, NJ · On-site

$114K - $137K/yr

Strong data engineering fundamentals with ETL experience * Advanced data modeling experience with ... Background in Property and Casualty Insurance * Bachelor's degree in computer science or a related ...

EPIC Brokers

Lead Insurance Data Scientist

Summit, NJ · On-site

$150/hr

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

SciTec

Data Engineer

Princeton, NJ · 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

SciTec

Data Engineer

Princeton, NJ · 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

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

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

SciTec

Data Engineer

Princeton, NJ · 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

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

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

CYNET SYSTEMS

Data Engineer

Jersey City, NJ · On-site

$55 - $60/hr

... an ETL/ELT developer/data engineer. * 3+ years of Databricks data engineering experience ... Working knowledge of the Finance or Insurance industry. * Expert in AWS Databricks, Python, Spark.

NJ CURE

Data Engineer

Princeton, NJ · 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 ...

K-Tek Resourcing LLC

AWS Data Engineer

Newark, NJ · 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 ...

Veolia Environnement SA

Data Engineer

Paramus, NJ · 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 ...

Veolia Environnement SA

Data Engineer

Paramus, NJ · 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 ...

Edgestream

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

About the Job Edgestream is seeking a Data Engineer to build, scale and support our core data ... HRA, FSA, life insurance, catered lunch, and an onsite gym. * For qualified employees, the ...

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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 New Jersey? For Insurance Data Engineer jobs in New Jersey, the most frequently searched job titles are:
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:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in New Jersey as of July 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 100% In-person job distribution.
Fabric Analytics Data Engineer

Fabric Analytics Data Engineer

EXL

Newark, NJ • On-site

Full-time

Posted 28 days ago

ExlService Holdings rating

7.8

Company rating: 7.8 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

134th of 488 rated business services

Job description

Job Summary:
EXL is seeking a Fabric Analytics Data Engineer to architect and implement data solutions using Microsoft Fabric components. The role involves designing scalable data models, optimizing data pipelines, and ensuring compliance with data governance standards.
Responsibilities:
• Architect and implement end‑to‑end data solutions using Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Real‑Time Analytics, and OneLake.
• Design scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information.
• Create architectural blueprints, reference architectures, and reusable frameworks that align with enterprise engineering and cloud standards.
• Develop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations.
• Build Lakehouse‑centered architectures to support advanced analytics, reporting, and machine learning workloads.
• Optimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments.
• Collaborate with Data Governance teams to ensure adherence to enterprise data standards, lineage tracking, metadata management, and data quality rules.
• Implement governance and compliance capabilities within Fabric, including cataloging, sensitivity labeling, and granular access control.
• Support regulatory requirements for insurance data, ensuring compliance with NAIC guidelines, state-level regulations, and data privacy laws.
• Partner with cloud engineering and security teams to optimize Fabric deployments integrated with Azure AD, Microsoft Purview, and Power BI.
• Ensure architectural alignment with enterprise cloud strategy, security frameworks, and operational guardrails.
• Evaluate new Microsoft Fabric features, capabilities, and roadmap items, recommending adoption and modernization strategies.
• Collaborate with business and analytics stakeholders to translate domain requirements into robust, scalable data solutions.
• Provide technical direction and architectural guidance to data engineers, analysts, and BI developers across projects.
• Lead design reviews and enforce architectural consistency across data initiatives and engineering teams.
• Define and implement Fabric best practices for performance tuning, storage optimization, and cost governance.
• Establish strong data security models, including RBAC, encryption, data masking, and secure access patterns.
• Monitor Fabric platform health and proactively manage risks, ensuring high availability and operational resilience.
Qualifications:
Required:
• 5+ years of experience in data architecture, data engineering, or analytics platform design.
• Strong hands-on experience with Microsoft Fabric and related Azure services.
• Deep understanding of insurance data domains (policy, claims, underwriting, actuarial, billing).
• Expertise in data modeling (dimensional, canonical, semantic models).
• Strong knowledge of data governance, metadata management, and data quality practices.
• Proficiency with SQL, Python, and modern data engineering frameworks.
• Excellent communication and stakeholder management skills.
• Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse.
• Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse).
• Needs to work from client location in Newark, NJ
Preferred:
• Certifications such as Azure Data Engineer
• Prior experience in P&C or Life insurance data modernization programs
Company:
EXL is a provider of Transformation and Outsourcing services to Global 1000 companies in multiple industries Founded in 1999, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

What ExlService Holdings employees say

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