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

HTC Global Services

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Collaborate directly with AI engineers, data modelers, and solution architects to ensure data ... insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.

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 ...

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

Garner Health

Data Engineer III

New York, NY

$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 ...

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 +1

$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

$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

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.

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

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.

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 ...

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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 6, 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.

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 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.

Data Engineer

HTC Global Services

Iselin, NJ • On-site

$116K - $139K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Job Title
AWS Data Integration & ETL Analyst
Overview / Summary
Seeking a professional with strong SQL and ETL architecture expertise to partner with source system owners, business stakeholders, AI engineers, data modelers, and solution architects. The role focuses on gathering data requirements, defining source-to-target mappings, supporting AWS-based data integration solutions, assessing downstream impacts, and ensuring data quality across the data lifecycle.
Key Responsibilities
  • Strong Pyspark Experience is MUST and preference to have Apache Iceberg experience
  • Partner with source system owners and business stakeholders to gather data requirements and translate them into clear, actionable source-to-target mapping documents with documented transformation logic and acceptance criteria.
  • Collaborate directly with AI engineers, data modelers, and solution architects to ensure data pipelines serve both traditional analytics and supports transforming data with high volumes capability.
  • Design and review ETL architecture patterns on AWS (Glue, Step Functions, S3, Redshift/Athena), providing hands-on guidance on job orchestration, partitioning strategies and historic storages.
  • Write detailed JIRA stories covering business value, mapping changes, data onboarding steps, and expected platform impact - stories that engineering teams can pick up with minimum transition support.
  • Assess the impact of new data sources, product changes, or business enhancements on downstream screening and detection platforms, proactively flagging risks before they hit production.
  • Hand off refined requirements to scrum teams and remain partitioning during development and testing.
  • Identify and flag data quality issues at source, working with data stewards and source owners to remediate before data enters the integration layer.
  • Leverage AI-assisted tooling (code generation, automated testing, intelligent data profiling) as a work efficiencies multiplier

Required Qualifications
  • Hands-on SQL experience.
  • Strong ETL architecture knowledge with practical AWS experience (Glue, Lambda, S3, IAM, CloudWatch)
    Preferred experience on Apache Iceberg

What Makes HTC A Great Place To Build Your Future
HTC Global Services wants you to join our team. Come build new things with us and advance your career. At HTC Global, you'll collaborate with experts, work alongside clients, and be part of high-performing teams driving success together. You'll have long-term opportunities to grow your career and develop skills in the latest emerging technologies.
At HTC Global Services, our employees have access to a comprehensive benefits package. Benefits can include Group Health (Medical, Dental, and Vision), Paid Time Off, Paid Holidays, 401(k) matching, Group Life and Disability insurance, Professional Development opportunities, Wellness programs, and a variety of other perks.
Our success as a company is built on inclusion and diversity. HTC Global Services is committed to providing a workplace free from discrimination and harassment, where every employee is treated with dignity and respect. We celebrate differences and believe that diverse cultures, perspectives, and skills drive innovation and success. HTC is an Equal Opportunity Employer and a proud National Minority Supplier. We seek to empower each individual, fostering an environment where everyone feels valued, included, and respected.
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