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Insurance Data Engineer Jobs in Brandon, FL (NOW HIRING)

Perform data preparation, feature engineering, and model validation to improve predictive ... Comprehensive Health, Dental, Vision, and Life Insurance * 401(k) Plan with Annual Employer ...

Data Scientist

Tampa, FL · On-site

$120 - $190/hr

Perform data preparation, feature engineering, and model validation to improve predictive ... Comprehensive Health, Dental, Vision, and Life Insurance * 401(k) Plan with Annual Employer ...

Insurance Education Requirements * Bachelor's/master's in computer science or equivalent (can be ... GCP Professional Cloud Developer / Microsoft Azure Certified Developer

... closely with data engineers to oversee the development of data solutions. * Expertise in ... Insurance experience is highly preferred. * Solid foundation in data structures, algorithms, and ...

AIT - AI Data Scientist Manager

Tampa, FL · On-site

$99K - $297K/yr

... Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance - Applies statistical analysis, machine learning, data preparation ...

Comprehensive health and life insurance and well-being benefits, based on location * Pension ... Bachelor's degree in computer science, Information Systems, Engineering, or a related field, or ...

Comprehensive health and life insurance and well-being benefits, based on location * Pension ... Bachelor's degree in computer science, Information Systems, Engineering, or a related field, or ...

... Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance - Applies statistical analysis, machine learning, data preparation ...

Showing results 41-60

Insurance Data Engineer information

See Brandon, FL salary details

$38.7K

$112.7K

$154.2K

How much do insurance data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for insurance data engineer in Brandon, FL is $112,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $119,500.00 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.
What are popular job titles related to Insurance Data Engineer jobs in Brandon, FL? For Insurance Data Engineer jobs in Brandon, FL, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Brandon, FL look for? The top searched job categories for Insurance Data Engineer jobs in Brandon, FL are:
What cities near Brandon, FL are hiring for Insurance Data Engineer jobs? Cities near Brandon, FL with the most Insurance Data Engineer job openings:
Infographic showing various Insurance Data Engineer job openings in Brandon, FL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $112,714 per year, or $54.2 per hour.

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Graham Technologies is seeking a highly skilled Data Scientist to develop advanced machine learning, predictive analytics, and artificial intelligence solutions that enhance logistics planning, sustainment operations, and enterprise decision-making. This role focuses on building scalable analytics solutions, predictive models, and interactive business intelligence capabilities that enable data-driven decision-making within a complex, mission-focused environment.

LocationTampa, Florida

Responsibilities

  • Develop, validate, deploy, and maintain machine learning and predictive analytics models supporting logistics and sustainment operations.
  • Build demand forecasting models utilizing statistical techniques including time-series analysis, ARIMA, and exponential smoothing.
  • Develop machine learning models using algorithms such as Random Forest, Gradient Boosting, XGBoost, and reinforcement learning techniques.
  • Design and implement anomaly detection models utilizing clustering algorithms, DBSCAN, autoencoders, and other unsupervised learning methods.
  • Develop inventory optimization and resource allocation models utilizing statistical analysis and optimization techniques.
  • Analyze structured and unstructured enterprise datasets to identify trends, patterns, and operational risks.
  • Perform data preparation, feature engineering, and model validation to improve predictive performance.
  • Collaborate with Data Engineers to optimize enterprise data pipelines and cloud-based analytics environments.
  • Develop executive dashboards, operational scorecards, and interactive visualizations using Power BI, Tableau, Qlik, or similar business intelligence platforms.
  • Present analytical findings and recommendations to technical teams, program leadership, and Government stakeholders.
  • Develop technical documentation including model specifications, analytical methodologies, user guides, and standard operating procedures.
  • Conduct knowledge transfer sessions and provide training to Government personnel on analytical models and business intelligence tools.
  • Monitor model performance and continuously improve deployed AI/ML solutions.
  • Support Agile software development activities including sprint planning, backlog refinement, demonstrations, and peer reviews.
  • Collaborate across multidisciplinary teams to deliver enterprise analytics solutions supporting mission objectives.
Required Qualifications
  • Active Top Secret with the ability to attain a SCI.
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Operations Research, or a related quantitative discipline.
  • Minimum five (5) years of professional experience developing predictive analytics, machine learning, or artificial intelligence solutions.
  • Strong programming experience using Python.
  • Experience using R for statistical analysis.
  • Experience developing and deploying machine learning models.
  • Experience using TensorFlow, PyTorch, or similar machine learning frameworks.
  • Experience with predictive analytics and statistical modeling.
  • Experience analyzing large, complex enterprise datasets.
  • Experience with SQL and relational databases.
  • Strong analytical, problem-solving, and critical thinking skills.
  • Excellent written, verbal, and presentation skills.
Preferred Qualifications
  • Experience supporting Department of Defense or Federal Government programs.
  • Experience supporting logistics, supply chain, sustainment, readiness, or operational analytics.
  • Experience with Databricks and Apache Spark.
  • Experience with cloud-based AI/ML environments in AWS or Azure.
  • Experience developing executive dashboards and business intelligence solutions.
  • Experience with optimization algorithms, linear programming, or supply chain modeling.
  • Experience with geospatial analytics or operational planning tools.
  • AWS Certified Machine Learning - Specialty, Microsoft Azure AI Engineer Associate, or similar cloud certification.
  • Security+ or other DoD 8570/8140 certification.
Compensation

At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.

Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.

Here are just a few highlights of what we offer:

  • Four Weeks of Accrued PTO in the First Year
  • Eleven Paid Federal Holidays
  • Comprehensive Health, Dental, Vision, and Life Insurance
  • 401(k) Plan with Annual Employer Contributions
  • Flexible Schedules
  • Reimbursements for Continued Education and Training

Why Graham Technologies?

Our core values define who we are:

  • Value our Customers
  • Care about our Employees
  • Passionate about Innovation
  • Believe in a Strong Work Ethic
  • Rely on Teamwork
  • Integrity Matters

Founded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do.

We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we've built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.