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Insurance Data Engineer Jobs in Princeton, NJ (NOW HIRING)

Accord Technologies Inc.

Sr. Data Analyst

Piscataway, NJ · On-site

$87K - $110K/yr

Collaborate with Data Engineering teams supporting Azure and Databricks-based data platforms ... Hands-on experience in the Insurance industry , preferably within: * Actuarial * Underwriting

Actively AI

Data Engineer

New York, NY · On-site

$125K - $150K/yr

You'll work at the intersection of data engineering, analysis, and product thinking - building the ... insurance, retirement benefits, and unlimited PTO. Additionally, this role may be eligible for ...

Talkspace

Senior Data Engineer

New York, NY · On-site

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... or pet insurance, etc. * Monthly Wellness Stipend to promote mental and physical self-care

Talkspace

Senior Data Engineer

New York, NY · Remote

$146K - $180K/yr

The Senior Data Engineer will lead the design and development of scalable, high-performance data ... or pet insurance, etc. * Monthly Wellness Stipend to promote mental and physical self-care

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 ...

Hearst

Principal Data Engineer

New York, NY · On-site

The Principal Data Engineer will lead the end-to-end design and implementation of scalable ... life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.

Hearst

Principal Data Engineer

New York, NY

The Principal Data Engineer will lead the end-to-end design and implementation of scalable ... life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.

K Health

Senior Data Engineer

New York, NY · Hybrid

$116K - $157K/yr

Our data engineering team is looking for an experienced professional with expertise in SQL, Python ... Competitive health, dental, and vision insurance options

Amazon

Data Engineer, Amazon Ads

New York, NY · On-site

$125K - $150K/yr

We're looking for a senior Data Engineer who brings: - Deep SQL fluency and 5+ years architecting ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Hearst

Principal Data Engineer

New York, NY · On-site

The Principal Data Engineer will lead the end-to-end design and implementation of scalable ... life insurance, 401(k), paid holidays and paid time off, employee assistance programs, and more.

Capgemini

Snowflake AI Data Engineer

New York, NY · On-site

$125K - $150K/yr

The Snowflake AI Data Engineer / Lead serves as the onsite technical lead, driving Snowflake-native ... Domain experience in insurance or financial services. * Advanced proficiency in SQL and Python ...

Contact Government Services, LLC

Sr. Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Sr. 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 ...

Trexquant Investment

Senior Data Engineer

New York, NY · 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 ...

Withco, Inc

Data Engineer

New York, NY · On-site

$125K - $150K/yr

Implement heavy data transformation simply, cleanly and modularly, with the infrastructure to ... vision insurance * A beautiful office in SoHo * Unlimited PTO and WFH * Paid parental leave ...

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Showing results 41-60

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Princeton, NJ

Insurance Data Engineer information

See Princeton, NJ salary details

$46.6K

$136K

$186.1K

How much do insurance data engineer jobs pay per year?

As of Aug 20, 2026, the average yearly pay for insurance data engineer in Princeton, NJ is $135,977.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,000.00 and $144,100.00 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 Princeton, NJ?

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

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

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

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

Cities near Princeton, NJ with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Princeton, NJ as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 21% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $135,977 per year, or $65.4 per hour.

Sr. Data Analyst

Accord Technologies Inc.

Piscataway, NJ • On-site

$87K - $110K/yr

Contractor

Posted 27 days ago

Job description

Senior Data Analyst
Location: Piscataway, NJ (Hybrid/Onsite)
Experience: 10–12+ Years 
Mandatory: Data analyst, Requirements gathering, source data analysis, source-to-target mapping, strong SQL, actuarial or deep insurance domain knowledge, business rule documentation, stakeholder management.Job Summary

We are seeking an experienced Senior Data Analyst with deep expertise in data analysis, business analysis, and insurance/actuarial domains to support enterprise data initiatives. The ideal candidate will have extensive experience gathering business requirements, performing source data analysis, creating source-to-target mappings, documenting business rules, and collaborating with cross-functional stakeholders to deliver high-quality data solutions.

This role requires strong SQL skills, excellent analytical capabilities, and hands-on experience working with actuarial, underwriting, or broker data within the insurance industry. Familiarity with Databricks, Azure, and modern data governance practices is highly desirable.

Key Responsibilities
  • Collaborate with business stakeholders to gather, analyze, and document business and data requirements.
  • Perform detailed source system analysis to understand data structures, relationships, and quality.
  • Develop comprehensive Source-to-Target Mapping (STTM) documents for data migration and integration projects.
  • Analyze complex datasets using advanced SQL to identify trends, anomalies, and business insights.
  • Document business rules, transformation logic, and data validation requirements.
  • Work closely with actuarial, underwriting, and business teams to understand insurance data models and reporting needs.
  • Support data reconciliation, data validation, and quality assurance activities.
  • Participate in data governance initiatives including metadata management, data lineage, and data quality improvements.
  • Collaborate with Data Engineering teams supporting Azure and Databricks-based data platforms.
  • Create functional specifications and support UAT by validating business requirements and data accuracy.
  • Facilitate stakeholder meetings and effectively communicate project status, risks, and recommendations.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Mathematics, Statistics, Actuarial Science, Business, or a related field.
  • 10–12+ years of experience as a Data Analyst or Business/Data Analyst.
  • Strong experience with:
    • Requirements gathering and business analysis
    • Source data analysis
    • Source-to-Target Mapping (STTM)
    • Business rule documentation
    • Data reconciliation and validation
    • Stakeholder management
  • Advanced SQL skills for complex querying, analysis, and data validation.
  • Hands-on experience in the Insurance industry, preferably within:
    • Actuarial
    • Underwriting
    • Broker data
  • Strong analytical and problem-solving abilities.
  • Excellent communication and documentation skills.
Preferred Qualifications
  • Hands-on actuarial experience.
  • Strong understanding of Property & Casualty and/or Life Insurance data.
  • Experience working with underwriting and broker datasets.
  • Familiarity with Databricks and Microsoft Azure data platforms.
  • Exposure to data governance frameworks, metadata management, and data lineage.
  • Experience supporting enterprise reporting and analytics initiatives.
  • Knowledge of ETL processes and data integration concepts.
  • Experience working in Agile/Scrum environments.
Technical Skills
  • SQL (Advanced)
  • Data Analysis
  • Source-to-Target Mapping (STTM)
  • Business Requirements Documentation
  • Data Reconciliation
  • Data Validation
  • Databricks (Preferred)
  • Microsoft Azure (Preferred)
  • Data Governance
  • Reporting & Analytics
  • Excel (Advanced)
Domain Expertise
  • Insurance
  • Actuarial
  • Underwriting
  • Broker Data
  • Risk & Financial Data