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

Data Engineer

Manhattan, NY

$126K - $151K/yr

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Data Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

We focus on adopting a data-first approach to engineering and value-stream management, enabling ... Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ...

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

New York, NY · On-site

$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 ...

Data Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ... We focus on adopting a data-first approach to engineering and value-stream management, enabling ...

Data Engineer

New York, NY · Hybrid

$140K - $155K/yr

Own prompt engineering, eval frameworks, and production reliability. * Data Pipelines - Build ETL ... Link provides a variety of benefits to employees, including health insurance coverage, retirement ...

Data Engineer

New York, NY · On-site

$140K - $155K/yr

Own prompt engineering, eval frameworks, and production reliability. * Data Pipelines - Build ETL ... Link provides a variety of benefits to employees, including health insurance coverage, retirement ...

AWS Data Engineer

Manhattan, NY

$126K - $151K/yr

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

AWS Data Engineer

New York, NY · On-site

$125K - $150K/yr

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

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 ...

AWS Data Engineer

Manhattan, NY

$126K - $151K/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 ...

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 ...

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 ...

Showing results 41-60

Insurance Data Engineer information

See Boonton, NJ salary details

$46K

$134K

$183.3K

How much do insurance data engineer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for insurance data engineer in Boonton, NJ is $133,987.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,300.00 and $142,000.00 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 job categories do people searching Insurance Data Engineer jobs in Boonton, NJ look for?

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

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

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

Infographic showing various Insurance Data Engineer job openings in Boonton, NJ as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 19% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $133,987 per year, or $64.4 per hour.

$126K - $151K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


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Company rating: 7.9 out of 10

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Job description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired bya collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Job Location : Whippany, NJ (Onsite/Hybrid from Day 1)
Job Description

We are seeking a highly motivated Data Engineer to design, develop, and maintain scalable data solutions that support analytics, reporting, and business operations. The ideal candidate will have strong experience in building data pipelines, data warehouses, and modern data platforms while ensuring data quality, governance, security, and performance across the enterprise.

Key Responsibilities
  • Design, develop, and maintain robust ETL/ELT pipelines for structured and unstructured data processing.
  • Build scalable and reliable data solutions to support analytics, reporting, and operational use cases.
  • Develop and optimize data models, database schemas, and storage structures.
  • Integrate data from multiple internal and external systems and applications.
  • Develop, maintain, and enhance data warehouses, data lakes, and lakehouse platforms.
  • Implement data validation, cleansing, transformation, and quality assurance processes.
  • Ensure data integrity, governance, security, and compliance across enterprise data platforms.
  • Monitor, troubleshoot, and optimize data pipelines to improve performance, scalability, and reliability.
  • Automate data workflows, scheduling, and operational processes.
  • Support data migration, modernization, and cloud transformation initiatives.
  • Collaborate with Data Scientists, Business Analysts, Product Owners, and Application Development teams to deliver business-driven data solutions.
  • Document data architectures, data flows, technical designs, and operational procedures.
  • Participate in code reviews and promote engineering best practices, standards, and continuous improvement.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 5+ years of experience in Data Engineering, Data Warehousing, or Data Integration.
  • Strong experience with ETL/ELT development and data pipeline design.
  • Proficiency in SQL and at least one programming language such as Python, Java, or Scala.
  • Experience with relational and NoSQL databases.
  • Strong understanding of data modeling, data warehousing, and modern data architectures.
  • Experience working with cloud-based data platforms and big data technologies.
  • Knowledge of data governance, data quality, and security best practices.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Experience with modern data lake and lakehouse architectures.
  • Familiarity with Spark, Databricks, Snowflake, or similar data technologies.
  • Experience with CI/CD, DevOps, and workflow orchestration tools.

The base compensation range for this role in the posted location is: 80786- 90273

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: 

  • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
  • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
  • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
  • Life and disability insurance
  • Employee assistance programs
  • Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect.  We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States.  http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.


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About United Airlines

Sourced by ZipRecruiter

United Airlines is embarking on an exciting journey to become the best airline in aviation history. Our purpose, "Connecting People, Uniting the World," extends beyond transportation, emphasizing our commitment to uplift and create opportunities in the places we serve. With a global presence and diverse workforce, we value inclusivity and are dedicated to hiring tens of thousands of individuals across various roles. Our comprehensive benefits package, including perks like space available travel, parental leave, and 401k, aims to support your well-being and growth.

Industry

Aviation

Company size

10,000+ Employees

Headquarters location

Chicago, IL, US

Year founded

1926

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