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

Theradex Oncology

Data Engineer

Princeton, NJ

$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 ...

Theradex Oncology

Data Engineer

Princeton, NJ · 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 ...

Reality Defender

Data Engineer

New York, NY · Remote

$140K - $180K/yr

We're looking for a Data Engineer who can build and scale the infrastructure powering our data ... Short/Long-term disability and life insurance plans with 100% premium coverage for employees * FSA ...

Reality Defender

Data Engineer

New York, NY · Remote

$140K - $180K/yr

We're looking for a Data Engineer who can build and scale the infrastructure powering our data ... Short/Long-term disability and life insurance plans with 100% premium coverage for employees * FSA ...

Theradex Oncology

Data Engineer

Princeton, NJ

$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 ...

Reality Defender

Data Engineer

New York, NY · On-site +1

$140K - $180K/yr

We're looking for a Data Engineer who can build and scale the infrastructure powering our data ... Short/Long-term disability and life insurance plans with 100% premium coverage for employees * FSA ...

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 ...

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) ...

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 ...

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) ...

Ascot Group

Data Engineer

Iselin, NJ · On-site

$95K - $110K/yr

Serve as a Data Engineer Level 1 for projects, enhancements, and production support. * Be ... Some experience in the Commercial and/or Specialty insurance industry is desired. * An ...

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Showing results 21-40

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 1, 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.

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 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 July 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 81% In-person, and 19% Hybrid job distribution, with an average salary of $135,977 per year, or $65.4 per hour.

Senior Director, Data Engineering

Starr Insurance Companies

New York, NY • On-site

$116K - $157K/yr

Full-time

Re-posted 13 days ago

Job description

Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress.
Overview
The Senior Director, Data Engineering is a senior leadership role, responsible for driving the transformation and execution of Starr's enterprise data ecosystem in direct support of core insurance business functions-including underwriting, claims, risk, finance, and regulatory reporting. Reporting to the AVP, Financial Systems, this leader will oversee the design, build, and operation of robust enterprise data solutions that solve for complex integration challenges, accelerate business processes, and deliver trusted, timely insights.
Central to this role is the consolidation and rationalization of fragmented, legacy regional data assets onto unified, scalable global operational data platforms. This leader will champion data engineering and warehousing best practices, focusing on efficient and automated data flows, high-performance processing, and proactive data quality management. The Senior Director will optimize and enable critical finance and actuarial workflows-such as month-end close cycles and daily general ledger/reinsurance data processing-while safeguarding reliability and compliance for business operations.
You will be responsible for shaping the technical strategy and operational effectiveness of Starr's Data Engineering function, building organizational capability, innovating processes and technologies, and forging deep partnerships with stakeholders across the insurance business.
Key Responsibilities
Data Integration & Enterprise Warehousing
  • Architect, design, and deliver scalable data integration solutions that consolidate, standardize, and enrich data from regional and legacy systems to global platforms for underwriting, claims, risk, finance, and regulatory domains.
  • Lead the migration of fragmented, heterogeneous datasets and overlapping regional warehouses into unified enterprise repositories, enforcing standard schemas and data models.
  • Ensure robust engineering of data warehouses/marts optimized for business processes, analytics, and regulatory reporting.

Business Process Automation & Data Flow Optimization
  • Drive strategic initiatives to accelerate and optimize the month-end close cycle, with automation of reconciliations and enhanced data flows for finance and actuarial teams.
  • Oversee the transition from monthly batch processing of premium, claims, general ledger and reinsurance data to daily ingestion and transformation, enabling timelier, more accurate financial and risk reporting.

Data Quality & Reliability
  • Establish systematic processes and tooling for proactive detection, monitoring, and resolution of data quality issues, ensuring the completeness, accuracy, and reliability of key data assets for operational and regulatory use.
  • Implement rigorous data validation, reconciliation, and lineage frameworks for transparent, auditable data delivery to stakeholders.

Legacy Rationalization & Platform Consolidation
  • Analyze the enterprise data landscape to identify redundant, fragmented, or obsolete assets; lead their retirement and accelerate consolidation onto strategic, scalable global platforms.

Stakeholder Engagement & Delivery
  • Collaborate intensively with business and technical stakeholders-underwriting, claims, risk, finance, compliance, and IT-translating functional needs into actionable data engineering solutions.
  • Advocate for and ensure business-aligned delivery, change management, and adoption of new processes and platforms across teams.

Team Leadership & Talent Development
  • Build and lead a high-performing globally distributed data engineering team, fostering expertise in modern technologies, insurance data modeling, and operational best practices.
  • Mentor and develop talent in both technical proficiency and business domain knowledge, with emphasis on supporting well-modeled data warehouses/marts tailored for insurance operations.

Architecture Alignment & Technical Excellence
  • Partner with Data Architecture leadership to align engineering design and delivery to enterprise reference architectures, governance frameworks, and quality standards.
  • Ensure data security (PII / data classification) practices are tightly implemented.

Continuous Improvement & Risk Management
  • Institutionalize continuous improvement in engineering methodologies, automation, and platform resilience.
  • Own risk assessment, controls, and performance tracking for data engineering initiatives using defined KPIs and health metrics.

Technical Skills & Requirements
  • Significant hands-on expertise building, integrating, and supporting enterprise-scale data warehousing and engineering solutions in complex insurance environments.
  • Advanced proficiency with SQL, Informatica, SSIS as well as cloud-native data engineering platforms (Databricks, Azure Fabric), ETL/ELT orchestration, and automation frameworks.
  • Deep experience in migration and integration of legacy/regional systems and data assets into consolidated, standardized global platforms.
  • Strong working knowledge of Insurance business systems (Policy, Claims, Finance, Reinsurance), core data structures, and compliance/reporting requirements.
  • Proven ability to architect and operationalize solutions for daily financial data processing and reporting, reconciliation automation, and actuarial/finance workflow enablement.
  • Demonstrated skill in deploying and managing data quality, validation, reconciliation, and issue resolution frameworks.
  • Experience leading Insurance data engineering teams and building organizational capability in both legacy and modern data management approaches.

Required Qualifications
  • Bachelor's or Master's in Computer Science, Data Engineering, Information Systems, or related field; advanced degree preferred.
  • 12+ years' experience in enterprise data engineering, data integration, and platform delivery, with at least 5 years in senior leadership roles.
  • Extensive Insurance industry experience-particularly in financial, regulatory, and operational data management.
  • Proven track record leading and delivering complex data migrations, platform consolidations, and business-critical automation initiatives.
  • Expertise in mentoring and building high-performing teams skilled in modern data engineering and insurance data modeling.
  • Strong technical leadership, stakeholder management, program delivery, and communication skills.
  • Professional certifications in cloud platforms, data engineering, or insurance data management are highly desirable.

An estimated salary range for this position is $170,000-$225,000
This role will be central to strengthening, rationalizing, and scaling Starr's enterprise data organization, enabling the business to unlock more timely, trusted insights and achieve operational and financial excellence across global insurance portfolios.
Starr is an equal opportunity employer, which means we'll consider all suitably qualified applicants regardless of gender identity or expression, ethnic origin, nationality, religion or beliefs, age, sexual orientation, disability status or any other protected characteristic. We recruit and develop our people based on merit and we're committed to creating an inclusive environment for all employees. We offer first class training and development opportunities to all employees. Our aim is to grow our own talent and bring out the best in people.

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