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Insurance Data Engineer Jobs (NOW HIRING)

The GEO Group

DATA ENGINEER

Boulder, CO · On-site

$110K/yr

... Insurance • Vision Insurance • Life Insurance • Health Savings Account • Tuition ... At least five (5) years of professional experience in data engineering, database administration, or ...

Berkley

Data Engineer

Greenwich, CT

$128.60K - $154.40K/yr

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

The GEO Group

DATA ENGINEER

Boulder, CO · On-site

$110K/yr

... Insurance • Vision Insurance • Life Insurance • Health Savings Account • Tuition ... At least five (5) years of professional experience in data engineering, database administration, or ...

Berkley

Data Engineer

Greenwich, CT · On-site

$128.60K - $154.40K/yr

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

Drunix Solution Inc

Data Engineer

Glendale, CA

$121.30K - $145.70K/yr

We're Hiring: Senior Data Engineer 🚀 📍 Glendale, CA -- Onsite 4 Days/Week 📌 Local ... insurance ✅ 401(k) ✅ Overtime eligibility ✅ Sick leave benefits per state policy

Level Up Llc

Data Engineer

Reston, VA · On-site +1

$119.30K - $143.30K/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

$119.30K - $143.30K/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 ...

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 ...

AVIAN, LLC

Data Engineer

Reston, VA · On-site +1

$119.30K - $143.30K/yr

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

CommunityAmerica Credit Union

Data Engineer

Lenexa, KS · On-site

$104.40K - $125.30K/yr

CommunityAmerica Federal Credit Union is seeking a Data Engineer. The role involves building ... banking, insurance and loans to individuals & businesses. Founded in 1940, the company is ...

Pacific Life Insurance Company

Data Engineer II

Charlotte, NC · On-site

$111.80K - $134.30K/yr

As a Data Engineer II, you will contribute to the design, development, and support of Pacific Life ... Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If ...

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The Data Engineer will play a foundational role in building and maintaining the data infrastructure ... Pet insurance * Ryan Foundation - charitable matching funds * Paid Time for Volunteer Events ...

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Insurance Data Engineer information

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$44.5K

$129.7K

$177.5K

How much do insurance data engineer jobs pay per year?

As of May 30, 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 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 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 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 May 2026, with employment types broken down into 59% Full Time, 34% Part Time, and 7% Contract. Highlights an 88% Physical, 1% Hybrid, and 11% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
DATA ENGINEER

DATA ENGINEER

The GEO Group

Boulder, CO • On-site

$110K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

The GEO Group rating

6.9

Company rating: 6.9 out of 10

Based on 51 frontline employees who took The Breakroom Quiz

14th of 41 rated prisons

Job description

Benefits Information
This job posting is anticipated to remain open until May 22nd, 2026
Position is onsite Full-Time in the Boulder/Gunbarrel office.
Full-time employees will enjoy a competitive benefits package with options for you and your family including:
• 3 weeks Paid Time Off
• 15 Paid Holidays
• 401(k) Matching
• Health Insurance
• Vision Insurance
• Life Insurance
• Health Savings Account
• Tuition Reimbursement
• Employee Discount
• Reduced Tuition Rates
• Disability Insurance
• Employee Assistance Program
• 401(k)
• Pet Insurance
• Dental Insurance
• Paid Training
• Flexible Spending Account
The compensation and benefits information is accurate as of the date of this posting. The Company reserves the right to modify this information at any time, with or without notice, subject to applicable law.
#IND-MISC
Equal Opportunity Employer
Overview
BI is one of the leading technology companies in Colorado and the largest provider of innovative electronic monitoring solutions in the United States. We excel at proving technological solutions to over 1,000 agencies nationwide and allowing those agencies to fulfill their missions without worrying about the technical complexities.
Qualifications
Minimum Requirements
  • Bachelor's Degree in Computer Science or related field or equivalent experience.
  • At least five (5) years of professional experience in data engineering, database administration, or software development with a "data focus."
  • At least three (3) years of experience building and managing large-scale data solutions.
  • United States citizenship required.
  • Ability to receive client's approval to work on contract required.
  • Must live in the US 3 of the last 5 years (military and study abroad included).
  • SQL expertise, including query optimization, indexing, partitioning, and database tuning.
  • Working knowledge of data collection and management tools.
  • Experience with AWS data services, such as Redshift, S3, Glue, Athena, Step Functions, and Lambda.
  • Hands-on experience with ETL/ELT workflow tools.
  • Experience working with Tableau (or similar visualization tools) to support data visualization and dashboarding.
  • Familiarity with data lake architecture, including AWS Data Lake integration and best practices.
  • Experience with data obfuscation tooling, such as Glue DataBrew and Faker
  • Understanding of data warehousing principles and dimensional modeling.
  • Experience working in Agile environments and familiarity with CI/CD practices in data engineering.
  • Effective communication skills with internal and external contacts at all levels, both written and verbal.
  • Excellent analytical skills and commitment to continuous improvement of data insights.
  • Ability to perform problem analysis and resolution.
  • Ability to maintain confidentiality with regard to information stored in operational databases. Ability to work with computers and the necessary software typically used by the department.

Working Conditions: Encountered on a regular basis as part of the work this job performs.
  • Typical office environment.
  • Some work in computer-testing lab with cold temperatures, and high noise levels from hardware alarms.
  • Ability to reach with hands and arms and to use hands to finger, handle or feel to move computers and testing equipment.
  • Ability to climb or balance, stoop, kneel, crawl or crouch, to move computers and testing equipment.

BI Incorporated
Responsibilities
Summary
The Data Engineer is responsible for developing and maintaining data infrastructure components, including data pipelines, databases, data lakes, and data warehouses, to support accurate and timely data access for business intelligence and analytics. This role collects, processes, and transforms raw data into structured, usable formats for reporting and insights. The Data Engineer works with AWS cloud services, SQL, scripts, and big data tools to support large datasets, optimize performance, and automate data workflows to build business intelligence reports.
Primary Duties and Responsibilities
  • The Data Engineer designs, develops, and maintains scalable and reliable data pipelines for ingesting, transforming, and storing structured and unstructured data.
  • Implements ETL/ELT workflows using AWS services.
  • The Data Engineer ensures data integrity, security, and governance through best practices in validation and monitoring.
  • Builds and maintains data warehouse solutions.
  • The Data Engineer manages and optimizes AWS Data Lake environments, integrating data from multiple sources for analytics and reporting.
  • Implements data modeling best practices to enhance performance and scalability.
  • Optimizes query performance, indexing, partitioning, and storage costs across warehouse and data lake environments.
  • The Data Engineer works with Tableau and other visualization tools to ensure seamless data integration for business reporting and analytics.
  • Builds data extracts, materialized views, and optimized datasets for efficient reporting.
  • The Data Engineer collaborates with business analysts and product teams to ensure data is structured for self-service analytics.
  • Stays up to date with emerging data engineering technologies and best practices.
  • The Data Engineer assembles large, complex sets of data that meet non-functional and functional business requirements.
  • Identifies, designs, and implements internal process improvements for scalability, data delivery optimization, and automation.
  • The Data Engineer builds required infrastructure for optimal extraction, transformation, and loading of data from various data sources using AWS and SQL technologies. Builds analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics, including operational efficiency and customer acquisition.
  • Works with stakeholders, including Executive, Product, Data, and Design teams, to support data infrastructure needs and assist with data-related technical issues.
  • Performs other duties as assigned.

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