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Insurance Data Engineer Jobs (NOW HIRING)

Tandym Tech

Data Engineer

Millburn, NJ · On-site

$114K - $137K/yr

Strong data engineering fundamentals with ETL experience * Advanced data modeling experience with ... Background in Property and Casualty Insurance * Bachelor's degree in computer science or a related ...

EPIC Brokers

Lead Insurance Data Scientist

Summit, NJ · On-site

$150/hr

Working within a lean, high-impact team, you will collaborate closely with solution engineers and ... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ...

SciTec

Data Engineer

Princeton, NJ · On-site +1

$105K - $125K/yr

SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and ... Short-term Disability insurance * Annual Profit-Sharing Plan * Discretionary Performance Bonus

EPIC Brokers

Lead Insurance Data Scientist

Atlanta, GA · On-site

$150/hr

Working within a lean, high-impact team, you will collaborate closely with solution engineers and ... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ...

EPIC Brokers

Lead Insurance Data Scientist

Chicago, IL · On-site

$150/hr

Working within a lean, high-impact team, you will collaborate closely with solution engineers and ... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ...

Diversified Services Network, Inc.

Data Engineer

Peoria, IL · On-site

$112K - $134K/yr

Data Engineer Peoria, IL | Onsite | Full-Time Diversified Services Network, Inc. (DSN) is seeking a ... Benefits * 401(k) * Dental insurance * Vision Insurance * Disability insurance * Employee ...

SciTec

Data Engineer

Princeton, NJ · On-site

$105K - $125K/yr

SciTec is seeking a Data Engineer to work as part of our Project Control team to design, build, and ... Short-term Disability insurance * Annual Profit-Sharing Plan * Discretionary Performance Bonus

Magnus Management Group LLC

Data Engineer

Washington, DC · Remote

$117K - $140K/yr

Health insurance * Paid time off * Vision insurance Seeking a Data Engineer responsible for designing, developing, and maintaining scalable enterprise data pipelines supporting advanced fraud ...

CosmoProf

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Data Engineer This position is hybrid working from our Legacy West Support Center located in Plano ... Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with ...

Level Up Llc

Data Engineer

Reston, VA · On-site +1

$119K - $143K/yr

Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to ... For insurance protection, we offer basic life insurance, accidental death and dismemberment (AD&D ...

Level Up Llc

Data Engineer

Reston, VA · On-site

$119K - $143K/yr

Responsibilities As a Data Engineer , you will transform and deliver high-priority datasets to ... For insurance protection, we offer basic life insurance, accidental death and dismemberment (AD&D ...

ELEVATE AVIATION GROUP LLC

Data Engineer

Plano, TX

$107K - $128K/yr

Description Job Title- Data Engineer Department- Systems & Technology Reports to- VP, Software ... Medical, dental, and vision insurance; employer-paid life and AD&D insurance; employee assistance ...

Diversified Services Network, Inc.

Data Engineer

Peoria, IL · On-site

$112K - $134K/yr

Data Engineer Peoria, IL Onsite Full-Time Diversified Services Network, Inc. (DSN) is seeking a ... Benefits * 401(k) * Dental insurance * Vision Insurance * Disability insurance * Employee ...

Metropolitan Companies

Data Engineer

Wyomissing, PA · On-site

$110K - $132K/yr

Data Engineer Department: IT Development Employment Type: Full Time Location: Metropolitan ... We offer a competitive compensation package including medical, dental, vision, life insurance ...

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Showing results 41-60

All JobsInsurance Data Engineer Jobs

Insurance Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do insurance data engineer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for insurance data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 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.
More about Insurance Data Engineer jobs
What cities are hiring for Insurance Data Engineer jobs? Cities with the most Insurance Data Engineer job openings:
What states have the most Insurance Data Engineer jobs? States with the most job openings for Insurance Data Engineer jobs include:
What job categories do people searching Insurance Data Engineer jobs look for? The top searched job categories for Insurance Data Engineer jobs are:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 82% In-person, and 18% Hybrid job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Data Engineer

Tandym Tech

Millburn, NJ • On-site

$114K - $137K/yr

Other

Posted 25 days ago

Job description



A services organization in New Jersey is looking to fill an immediate need with the addition of a new Data Engineer to their team.


About the Opportunity:




  • Shift: Day shift




  • Schedule: Monday to Friday




  • Hours: Standard business




  • Setting: Hybrid (at least 2 days onsite per week)




Responsibilities:




  • Develop and support new and existing data applications.




  • Partner with business users and analysts to understand data needs and recommend effective long-term solutions.




  • Work with application and enterprise architects to review implementation designs and data flows.




  • Provide technical guidance for complex data solutions, including code reviews, testing, deployment, and documentation.




  • Support production issues, maintain integration documentation, and contribute to broader data engineering initiatives.




Qualifications:




  • 5-7 years of experience in Data Warehousing, Data Integration, or Data Engineering projects.




  • Strong data engineering fundamentals with ETL experience




  • Advanced data modeling experience with emphasis on dimensional modeling




  • Proficiency in SQL




  • Hands-on experience with Azure Databricks and the Azure ecosystem.




  • Experience using Python or Scala




  • Strong communication skills and the ability to work effectively across teams




  • Proven ability to own work independently




Desired Skills:




  • Experience with Power BI, Azure ML, or Synapse




  • Familiarity with Informatica PowerCenter, IICS, Cognos, or Netezza Performance Server




  • Experience with Azure DevOps or GitHub




  • Background in Property and Casualty Insurance




  • Bachelor's degree in computer science or a related engineering field




  • Experience leading workstreams or delivering end-to-end project implementations




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