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Insurance Data Engineer Jobs (NOW HIRING)

Risk Strategies

Senior Insurance Data Analyst

$84K - $115K/yr

The Senior Insurance Data Analyst plays a strategic role in advancing Oxford-wide analytics ... Collaborate with IT and data engineering: strengthen data infrastructure, accessibility, and ...

The Mutual Group

Actuarial Data Engineer

Iowa, LA · On-site +1

$91K - $130K/yr

Analytics The Data Engineer will support the design, development, and implementation of analytical ... Experience working with P&C insurance data preferred * Familiarity with actuarial data and concepts ...

Inizio Partners

Lead AWS Data Engineer

Jersey City, NJ

$107K - $140K/yr

... Data Engineer to support complex data engineering initiatives within our insurance data and ... Architect scalable ELT/ETL workflows and data warehouse models supporting insurance analytics use ...

Rural Mutual Insurance

Data Engineer

Milwaukee, WI · On-site +1

$112K - $135K/yr

Description Rural Mutual Insurance is looking for an experienced and motivated data professional to ... As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ...

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site +1

$115K - $138K/yr

Description Rural Mutual Insurance is looking for an experienced and motivated data professional to ... As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ...

CURE Auto Insurance

Data Engineer

Princeton, NJ · On-site

$100K - $120K/yr

Data Engineer CURE Auto Insurance is a leading direct writer of auto insurance in New Jersey, Pennsylvania, and Michigan. CURE offers a great working environment, competitive salary, and ...

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 ...

Rural Mutual Insurance

Data Engineer

Madison, WI · On-site

$120K/yr

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a ... As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ...

Rural Mutual Insurance

Data Engineer

Madison, WI

$120K/yr

Rural Mutual Insurance is looking for an experienced and motivated data professional to play a ... As a Data Engineer , you will be responsible for implementing and optimizing data pipelines ...

Berkley

Data Engineer

Greenwich, CT

$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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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 Aug 7, 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.

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.
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, 74% Full Time, 20% 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.

Senior Insurance Data Analyst

Risk Strategies

Remote

$84K - $115K/yr

Full-time

Re-posted yesterday

Risk Strategies rating

7.5

Company rating: 7.5 out of 10

Based on 29 frontline employees who took The Breakroom Quiz

217th of 303 rated insurance

Job description

The Senior Insurance Data Analyst plays a strategic role in advancing Oxford-wide analytics, transforming complex data into actionable insights that drive performance across underwriting, claims, operations, compliance and finance. This role leads data initiatives, develops analytical frameworks, and supports decision-making across our captive programs and structures. This is a day-to-day hands-on analytics role.
The analyst will partner with internal leadership and Third-Party Administrators (TPAs) to ensure data integrity, consistency, and actionable reporting that supports profitable growth and operational excellence.
Your Impact
  • Lead enterprise data analytics initiatives: develop and execute analytics strategies that support underwriting, claims, operations, and financial performance goals
  • Deliver cross-functional insights: analyze data across lines of business to identify trends, risks, and opportunities impacting profitability and performance
  • Develop and manage reporting infrastructure: build and maintain dashboards tracking key metrics (loss ratios, severity, frequency, operational KPIs, and portfolio performance)
  • Support underwriting and captive program performance: provide data-driven insights into pricing adequacy, portfolio trends, and program outcomes
  • Enhance TPA oversight and operational transparency: evaluate claims performance, service levels, and compliance through structured analytics; coordinating claims data with actuary for quarterly IBNR analysis.
  • Ensure data integrity and governance: maintain consistency and reliability across internal systems, actuarial data, finance reporting, and TPA/claims feeds
  • Partner across functions: collaborate with Underwriting, Claims, Finance, and Operations to align data insights with business objectives
  • Advance predictive and benchmarking capabilities: support development of models, trend analysis, and comparative performance metrics
  • Collaborate with IT and data engineering: strengthen data infrastructure, accessibility, and reporting tools
  • Communicate insights to leadership: present clear, actionable recommendations to support strategic decision-making

Successful Candidates Will Have
  • Bachelor's degree in Data Analytics, Statistics, Risk Management, or related field preferred
  • 5+ years of experience in insurance analytics (claims, underwriting, or enterprise analytics)
  • Strong proficiency in SQL, Excel, and data visualization tools (Power BI, Tableau, or similar)
  • Experience working with claims systems, policy systems, and TPA data feeds (Origami preferred)
  • Familiarity with captive insurance structures and multi-line insurance operations preferred
  • Understanding of regulatory and reporting requirements within insurance environments

Brown & Brown, Inc. and our team of companies is an equal opportunity workplace and is committed to ensuring equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about working at Risk Strategies, part of the Brown & Brown team, by visiting https://us.bbrown.com/careers/.
Pay Range:
$84,200 - $115,000 Annual
The pay range provided above is made in good faith and based on our lowest and highest annual salary or hourly rate paid for the role and takes into account years of experience required, geography, and/or budget for this role.
One80 Intermediaries is an equal opportunity workplace and is committed to ensuring equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.
Learn more about working at One80 Intermediaries by visiting our careers page: www.one80.com/careers.
Personal information submitted by California applicants in response to a job posting is subject to One80's California Job Applicant Privacy Notice .
Recruiting Vendor Disclosure Statement
Brown & Brown does not accept unsolicited resumes from external recruiters, recruitment vendors or employment agencies ("Recruiting Vendors"). Recruiting Vendors must have a valid written agreement and receive prior written authorization from an authorized Brown & Brown representative before submitting candidates for any publicly posted role. Any unsolicited resumes submitted to Brown & Brown or its employees become the property of Brown & Brown, and no fees will be paid for such submissions. Additional information regarding this policy can be found on our careers page.

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