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

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) ...

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 ...

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) ...

Data Engineer

New York, NY · On-site

$188K - $275K/yr

As our first Data Engineer , you will help us get there. This is an early, high-scope role ... Private medical and dental insurance (U.K.) * Retirement and financial wellness support (U.S.

Data Engineer

New York, NY · On-site

$125K - $150K/yr

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 ...

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 ...

Data Engineer

Piscataway, NJ · On-site

$96K - $137K/yr

We are seeking a passionate and detail-oriented Data Engineer to join our Digital Tech & Data team ... life insurance, paid parental leave, disability coverage, and participation in the 401(k) ...

Data Engineer

Piscataway, NJ · On-site

$96K - $137K/yr

We are seeking a passionate and detail-oriented Data Engineer to join our Digital Tech & Data team ... life insurance, paid parental leave, disability coverage, and participation in the 401(k) ...

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.

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 ...

Senior Data Engineer

Jersey City, NJ · On-site

$110K - $150K/yr

... insurance analytics use cases Drive data migration and modernization efforts from legacy ... engineering standards, coding best practices, and pipeline documentation Provide hands-on ...

Data Engineer

New York, NY · On-site

$135K - $190K/yr

You'll work closely with our product and engineering teams to transform raw financial data into ... Medical, dental & vision insurance coverage for you * 401(k) & Match * Equity * Flexible PTO

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

Argo Group is a specialty property and casualty insurance brand seeking a Senior Data Engineer to lead the transition to a modern, AI-first data strategy. The role involves designing AI-powered data ...

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 ...

Lead Data Engineer

Jersey City, NJ · On-site

$112K - $147K/yr

Lead Data Engineer Experience Required: 12 years+ Location: Jersey City, NJ | Onsite Employment ... Familiarity with the US insurance/reinsurance domain + P&C Insurance knowledge * Knowledge of Data ...

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Insurance Data Engineer information

See Edison, NJ salary details

$46.1K

$134.3K

$183.8K

How much do insurance data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for insurance data engineer in Edison, NJ is $134,289.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,500.00 and $142,300.00 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 Edison, NJ? For Insurance Data Engineer jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Edison, NJ look for? The top searched job categories for Insurance Data Engineer jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Insurance Data Engineer jobs? Cities near Edison, NJ with the most Insurance Data Engineer job openings:
Data Engineer

$96K - $137K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Colgate-Palmolive rating

5.8

Company rating: 5.8 out of 10

Based on 22 frontline employees who took The Breakroom Quiz


Job description

No Relocation Assistance Offered
Job Number #173490 - Piscataway, New Jersey, United States
Who We Are
Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specializing in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name!
Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all.
Role Summary:
We are seeking a passionate and detail-oriented Data Engineer to join our Digital Tech & Data team. In this role, you will be responsible for building and maintaining the data pipelines that support our digital ecosystem - from ingesting raw data across multiple digital touchpoints to delivering clean, robust data that business teams can trust and act on.
You will bring engineering rigour to data - treating pipelines, models, and infrastructure as production-grade software - while staying closely connected to the digital business context your work enables.
Responsibilities:
  • Design, build, and maintain production-grade data pipelines in Airflow that ingest data from digital touchpoints into Snowflake.
  • Develop modular, tested, and well-documented dbt models that transform raw data into reliable, business-ready datasets - owning the full lifecycle from source definition to exposure.Provision and manage cloud data infrastructure (Snowflake objects, Airflow environments, supporting GCP resources) through Terraform, with everything version-controlled and peer-reviewed.Implement and uphold data quality, observability, and testing standards across pipelinesTune Snowflake performance and manage warehouse cost - clustering, query profiling, resource monitors and treat cost as a first-class engineering concern.Implement pipelines to platform standards - branching strategy, CI/CD for dbt and Airflow, code review norms, documentation, naming conventions

Required Qualifications:
Education:
    Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related discipline.

Experience:2-3 years of hands-on experience in a data engineering or analytics engineering role, ideally within a digital or e-commerce environment.
Preferred Qualifications:
    Proven experience building and maintaining production-grade data pipelines using Apache Airflow.Strong working knowledge of Snowflake, including data modelling, performance tuning, clustering, and warehouse cost management.Demonstrated experience developing dbt projects - writing modular, tested, and well-documented transformation logic.Practical experience using Terraform to provision and manage cloud data infrastructure in a repeatable, version-controlled manner.Proficiency in Python for writing data pipelines, custom operators, and utility tooling.Strong SQL skills with the ability to write and optimise complex queries across large datasets.Fluency in driving an AI coding tool across pipeline codebase: scoping changes, providing the right files as context.

Compensation and Benefits
Salary Range $96,800.00 - $137,000.00 USD
Pay is determined based on experience, qualifications, and location. Salaried employees may also be eligible for discretionary bonuses, profit-sharing, and long-term incentives for Executive-level roles.
Benefits: Salaried employees enjoy a comprehensive benefits package, including medical, dental, vision, basic life insurance, paid parental leave, disability coverage, and participation in the 401(k) retirement plan with company matching contributions subject to eligibility requirements. Additional benefits include a minimum of 15 vacation/PTO days (hourly employees receive a minimum of 120 hours) and 13 paid holidays (vacation days are prorated based on the employee's hire date within the calendar year). Paid sick leave is adjusted based on role and location in accordance with local laws. Detailed information regarding paid sick leave entitlements will be provided to employees upon hiring and may be subject to adjustments based on changes in legislation or company policies.
Our Commitment to Inclusion
Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business.
Equal Opportunity Employer
Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law.
Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.
For additional Colgate terms and conditions, please click here.
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About Colgate-Palmolive

Sourced by ZipRecruiter

Colgate-Palmolive is a leading global consumer products company, tightly focused on Oral Care, Personal Care, Home Care and Pet Nutrition. Colgate sells its products in over 200 countries and territories around the world under such internationally recognized brand names as Colgate, Palmolive, elmex, Tom's of Maine, Sorriso, Speed Stick, Lady Speed Stick, Softsoap, Irish Spring, Protex, Sanex, Elta MD, PCA Skin, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Science Diet and Hill's Prescription Diet.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1806

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