1

Insurance Data Engineer Jobs in Jacksonville, FL

... insurance use cases via statistical applications such as R or Python Efficiently access data via ... Engineering, and senior executives) to rapidly execute and iterate Noting anomaly detection and ...

... insurance use cases via statistical applications such as R or Python • Efficiently access data ... Engineering, and senior executives) to rapidly execute and iterate • Noting anomaly detection and ...

Perform basic engineering analyses, calculations, and evaluations using geotechnical data to ... insurance, 401(k) plan, paid time off and holidays, education reimbursement, and various bonus ...

Showing results 21-40

Insurance Data Engineer information

See Jacksonville, FL salary details

$41.2K

$120.2K

$164.5K

How much do insurance data engineer jobs pay per year?

As of Aug 23, 2026, the average yearly pay for insurance data engineer in Jacksonville, FL is $120,191.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,100.00 and $127,400.00 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 are popular job titles related to Insurance Data Engineer jobs in Jacksonville, FL?

For Insurance Data Engineer jobs in Jacksonville, FL, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Jacksonville, FL look for?

The top searched job categories for Insurance Data Engineer jobs in Jacksonville, FL are:

What cities near Jacksonville, FL are hiring for Insurance Data Engineer jobs?

Cities near Jacksonville, FL with the most Insurance Data Engineer job openings:

Infographic showing various Insurance Data Engineer job openings in Jacksonville, FL as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $120,191 per year, or $57.8 per hour.

Program Lead, Data & Analytics Platform

Kraton

Jacksonville, FL • On-site, Remote

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 5 days ago


Kraton rating

7.3

Company rating: 7.3 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

64th of 100 rated chemical manufacturers


Job description

Make a +Difference at Kraton!

At Kraton, we make a +Difference, and we are looking for individuals who are also looking to make a difference in their jobs, for our customers and to the world.  We are looking to hire a key member of our IT team at our Global Headquarters located in The Woodlands, Texas.

The IT Program Lead - Data & Analytics Platform is responsible for defining, delivering, and governing the enterprise data and analytics strategy across the organization. This role serves as the technology leader for enterprise reporting, business intelligence, data engineering, data governance, and analytics platforms, ensuring business data is transformed into trusted, governed, and actionable insights.

We believe in making a +Difference, as a global manufacturer of sustainable specialty polymers and biobased pine chemicals, delivering innovative, high-performance solutions.  
We're proud to offer benefits that meaningfully support you-at work, at home, and everywhere in between. 

Some of the benefits offered are:

  • Medical Insurance, including TeleDoc - multiple plans available with Flexible Spending Account & Health Savings Account options
  • Dental & Vision Insurance  
  • Health Advocate - free support to help you understand your coverage and answer questions
  • Life Insurance - base coverage paid for by Kraton with option for additional coverage
  • 401k - Kraton provides matching contributions based on enrollment level 
  • Employee Assistance Program - provided at no cost to employees 
  •  Accident, Disability, and Critical Illness Insurance  
Key Responsibilities

The position will lead the design, implementation, and operation of a modern enterprise data platform centered on Microsoft Fabric, Power BI, Azure, SAP technologies, and enterprise application integrations. This includes establishing scalable architectures that enable analytics, artificial intelligence (AI), machine learning (ML), predictive analytics, executive reporting, self-service analytics, and enterprise data products.


The role is accountable for the secure integration of data from SAP ECC, SAP BW, SAP Datasphere, SAP Analytics Cloud, Microsoft platforms, manufacturing systems, CRM applications, commercial systems, and third-party applications into a centralized and governed analytics ecosystem. The position will also establish enterprise standards for data security, segregation, governance, and controlled access to ensure sensitive and confidential information is only available to authorized users and business functions.


The key responsibilities of this role include but are not limited to the following:
Enterprise Data & Analytics Strategy
   Define and execute the enterprise data, analytics, and AI strategy aligned with business objectives.
   Establish standards, roadmaps, and governance for enterprise reporting, analytics, business intelligence, and data management.
   Partner with business and executive leaders to identify opportunities for analytics-driven decision making and operational improvement.
Data Platform Leadership
   Lead the design, implementation, and support of the enterprise data and analytics platform utilizing Microsoft Fabric, Power BI, Azure, SAP technologies, and related enterprise platforms.
   Establish scalable, secure, and cost-effective architectures supporting reporting, self-service analytics, AI, and predictive analytics.
   Drive platform performance, reliability, adoption, and continuous improvement.
Enterprise Data Integration
   Define and govern the integration of SAP and non-SAP data sources into a centralized analytics ecosystem.
   Establish standards for data ingestion, transformation, replication, and orchestration across enterprise applications, cloud platforms, and third-party systems.
   Ensure enterprise data assets are accurate, consistent, and accessible for analytics and business operations.
Data Governance & Security
   Establish enterprise governance frameworks for data ownership, quality, security, lineage, and compliance.
   Define data classification and access standards protecting confidential, financial, HR, operational, and strategic information.
   Implement security models that provide controlled and role-based access to data, reports, and analytical assets.
Analytics, Reporting & AI Enablement
   Govern enterprise reporting, KPI definitions, semantic models, and self-service analytics capabilities.
   Enable advanced analytics, predictive modeling, AI, and machine learning initiatives through trusted and governed data products.
   Support executive, operational, and functional reporting requirements across all business areas.

Required Skills

Enterprise Data Platforms
   Microsoft Fabric, Power BI, Azure Data Services, OneLake, Data Warehouses, Lakehouses, and modern cloud analytics platforms.
   Data engineering, ETL/ELT, data modeling, semantic modeling, and enterprise reporting architectures.
SAP & Enterprise Application Integration
   SAP ECC 6.0, SAP BW, SAP BPC, SAP Datasphere, SAP Analytics Cloud, SAP HANA, and SAP data integration methodologies.
   Experience exposing SAP and enterprise application data to cloud analytics platforms and modern data architectures.
Data Governance & Security
   Data governance, metadata management, data quality, master data management, and information lifecycle management.
   Role-based access controls, row-level security, data segregation, privacy controls, compliance, and audit requirements.
Analytics & AI
   Enterprise reporting, business intelligence, predictive analytics, machine learning, AI enablement, and data-driven decision support.
   Experience implementing enterprise AI, data governance, and modern data platform initiatives.

Education, Certifications & Licenses

   Bachelor's degree in Information Technology, Computer Science, Engineering, Data Science, Business Analytics, or related discipline. 
   Master's degree preferred.
   Microsoft Fabric, Azure, Power BI, or SAP Analytics certifications.

--------------------------------------------------

The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification.  Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.

Kraton's internal talent acquisition team manages our recruiting efforts and from time to time works with pre-selected/pre-approved external staffing agencies. We do NOT accept unsolicited resumes or candidate referrals from recruiters and/or agencies who are not pre-selected/pre-approved.

Kraton is proud to be an Equal Opportunity Employer.


What Kraton employees say

Pay

Hours and flexibility

Workplace

Get the full story on Breakroom


Kraton logo

About Kraton

Sourced by ZipRecruiter

Kraton is a leading global specialty chemicals company that specializes in delivering high-performance polymers and bio-based products. With a strong emphasis on innovation, the company has established itself as a reliable partner across various industries. Kraton's diverse portfolio of solutions caters to applications such as adhesives, coatings, lubricants, sealants, and more. Committed to sustainability, Kraton focuses on developing eco-friendly products that reduce environmental impact without compromising performance. By harnessing renewable resources and advanced technologies, Kraton strives to create solutions that not only enhance the quality of life but also minimize their carbon footprint. With a global presence and customer-centric approach, Kraton is dedicated to providing tailored solutions that meet the unique needs of their customers, making them a trusted and forward-thinking choice in the specialty chemicals market.

Industry

Chemical manufacturing

Company size

1,001 - 5,000 Employees

Headquarters location

Houston, TX, US

Year founded

1950

Social media