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Insurance Data Engineer Jobs (NOW HIRING)

Centraprise

Lead AWS Data Engineer

Jersey City, NJ · On-site

$112K - $147K/yr

We are seeking an experienced Lead Data Engineer to support complex data engineering initiatives within our insurance data and analytics practice. This role combines Deep technical expertise with ...

Tihinsurance

Senior Data Architect

Charlotte, NC

$65.75 - $88/hr

Databricks Certified Data Engineer Professional * Azure/AWS Certified Data Architect * Insurance Data Management Association (IDMA) certifications General Description of Available Benefits for ...

CRC Group

Senior Data Architect

Charlotte, NC · On-site

$65.75 - $88/hr

Databricks Certified Data Engineer Professional * Azure/AWS Certified Data Architect * Insurance Data Management Association (IDMA) certifications General Description of Available Benefits for ...

Outmarket Inc

Senior Data Engineer

$108K - $147K/yr

Commercial insurance still runs on dense documents and slow, manual workflows, and that is exactly ... ABOUT THE ROLE We are hiring a Senior Data Engineer to own the architecture of our data platform ...

ALKEME Insurance

Data engineer

Denver, CO · On-site

$117K - $141K/yr

ALKEME Insurance is seeking a highly skilled data engineer to join their team in Denver, CO. The ideal candidate will be responsible for designing, developing, and maintaining data pipelines and ...

Summit Consulting

Data Engineer

Cincinnati, OH · On-site

$110 - $150/hr

Great American Insurance Group's member companies are subsidiaries of American Financial Group. We ... Predictive Analytics is seeking a Data Engineer to join our Business Data and Analytics department.

Berkley

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

Intrepid Direct Insurance (IDI) is a rapidly growing direct to consumer property and casualty ... Join our team at as a Data Engineer and play a pivotal role in designing, creating, deploying, and ...

Berkley

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Responsibilities Join our team at as a Data Engineer and play a pivotal role in designing, creating ...

Berkley

Data Engineer

Overland Park, KS · On-site

$111K - $133K/yr

The insurance industry has not evolved with innovation like other major industries. We're here to ... Responsibilities Join our team at as a Data Engineer and play a pivotal role in designing, creating ...

W. R. Berkley Corporation

Data Engineer

Overland Park, KS · On-site

$90 - $120/hr

The insurance industry has not evolved with innovation like other major industries.We're here to ... Responsibilities Join our team at as a Data Engineer and play a pivotal role in designing, creating ...

ECLARO

Data Engineer

Rutherford, NJ · On-site

$116K - $140K/yr

ECLARO is hiring for a Data Engineer for their client, a leading insurance company providing risk management services to the energy industry. The role involves developing and testing data integration ...

NxT Level

Data Product Engineer

San Francisco, CA

$137K - $165K/yr

Data Product Engineer Location: San Francisco / In-person preferred Employment Type: Full-time ... Data Products, AI Agents, Insurance, Data Pipelines, Evaluation Systems About Our Client Our client ...

Posted today

MFour Data Research, Inc.

$110 - $140/hr

The Data Engineer will design, implement, and manage scalable data pipelines, databases, and ... Top-tier health benefits include; medical, dental, vision, LTD, and life insurance * Additional ...

New

MFour Data Research, Inc.

Data Engineer

Kansas City, MO · On-site

$110 - $140/hr

The Data Engineer will design, implement, and manage scalable data pipelines, databases, and ... Top-tier health benefits include; medical, dental, vision, LTD, and life insurance * Additional ...

New

Berkley

Data Engineer

Greenwich, CT · On-site

$128K - $154K/yr

Insurance and Reinsurance and Monoline Excess. Led by our Executive Chairman, founder and largest ... We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design ...

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Showing results 21-40

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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 Sep 6, 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.

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.

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 August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 22% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Lead AWS Data Engineer

Centraprise

Jersey City, NJ • On-site

$112K - $147K/yr

Full-time

Re-posted 12 hours ago

Job description

Hi,
Title- Lead AWS Data Engineer
Location- Jersey City, NJ
Contract:
Job Summary:
We are seeking an experienced Lead Data Engineer to support complex data engineering initiatives within our insurance data and analytics practice. This role combines Deep technical expertise with strong coordination skills, working closely with onshore and offshore teams, business stakeholders, and project leadership to deliver enterprise data modernization and migration programs. The candidate will serve as a technical point of contact for cross-functional teams while remaining hands-on with cloud data technologies.
Key Responsibilities
Technical Delivery
  • Design and implement end-to-end data pipelines using PySpark, Snowflake, and AWS cloud services
  • Architect scalable ELT/ETL workflows and data warehouse models supporting insurance analytics use cases
  • Drive data migration and modernization efforts from legacy environments to cloud-native platforms
  • Develop and review complex SQL transformations, stored procedures, and data quality validation frameworks
  • Establish and enforce data engineering standards, coding best practices, and pipeline documentation
  • Provide hands-on troubleshooting and performance optimization across the data stack

Team Coordination & Stakeholder Engagement
  • Coordinate day-to-day activities across onshore and offshore data engineering teams to ensure timely delivery
  • Serve as a technical point of contact for business stakeholders, translating requirements into engineering deliverables
  • Facilitate requirement-gathering sessions, sprint planning, and status updates with project teams
  • Communicate project progress, risks, and dependencies to project managers and client stakeholders
  • Mentor junior engineers and conduct code reviews to uphold quality standards
  • Collaborate with data architects, analysts, and QA teams throughout the project lifecycle

Required Skills & Qualifications
Technical Skills
  • Deep experience with Snowflake including data modeling, performance tuning
  • Proficiency with AWS services - S3, Glue, Lambda, EMR, Redshift, Step Functions, CloudWatch
  • Strong experience building distributed data processing frameworks with Apache Spark / PySpark
  • Advanced SQL skills - complex transformations, query optimization, and dimensional modeling
  • Expertise in DWH design patterns - Kimball, Inmon, Data Vault, star and snowflake schemas
  • Demonstrated experience leading or contributing to cloud migration and legacy modernization programs
  • Familiarity with tools such as dbt, Apache Airflow, AWS Glue, or similar orchestration frameworks
  • Solid Python programming for data engineering and automation tasks

Experience Requirements
  • 6-9 years of progressive experience in data engineering
  • Prior experience in insurance, financial services, or regulated industries preferred
  • Experience coordinating distributed teams across time zones (onshore/offshore model)
  • Demonstrated ability to engage with non-technical stakeholders and translate business requirements

Exposure to Agile/Scrum delivery methodology

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