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

Graham Technologies

Data Engineer

Tampa, FL · On-site

$112K - $135K/yr

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain ... Comprehensive Health, Dental, Vision, and Life Insurance * 401(k) Plan with Annual Employer ...

Fintech Brand

Data Engineer - Databricks

Tampa, FL · On-site

$100 - $130/hr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Company Paid Vision Insurance for Employee * Company Paid Long and Short‑Term Disability

Fintech

Data Engineer - Databricks

Tampa, FL · On-site

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Company Paid Medical Insurance Option for Employee and Dependent Children * Company Paid Dental ...

Fintech

Data Engineer - Databricks

Tampa, FL · Hybrid

$108K - $129K/yr

We are seeking a Data Engineer with strong Databricks expertise to modernize and scale our Business ... Company Paid Medical Insurance Option for Employee and Dependent Children * Company Paid Dental ...

Contact Government Services, LLC

Data Engineer

Tampa, FL

$108K - $129K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Contact Government Services, LLC

Data Engineer

Tampa, FL

$108K - $129K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Raymondjames

Lead Data Engineer

Saint Petersburg, FL · Hybrid

$96K - $127K/yr

This position plays a key role in supporting Annuity and Life Insurance initiatives, including ... The Lead Data Engineer will lead technical design, development, implementation, troubleshooting ...

Wipro Limited

Data Engineer - PySpark

Tampa, FL · On-site

$60K - $135K/yr

Data Engineer - PySpark City: Tampa State/Province: Florida Posting Start Date: 7/31/26 Wipro ... insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants ...

United Airlines

Data Engineer (PySpark)

Tampa, FL

$108K - $129K/yr

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Capgemini

Data Engineer (PySpark)

Tampa, FL · On-site

$108K - $129K/yr

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

Geico

Senior Contact Center Data Engineer

Tampa, FL · On-site

$100K - $136K/yr

... auto insurers in the United States. When you join our company, we want you to feel valued ... The Senior Contact Center Data Engineer I is a senior individual contributor responsible for ...

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Showing results 1-20

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Brandon, FL

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 30, 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.

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 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:

Insurance Data Engineer jobs near you
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.

Data Engineer

Graham Technologies

Tampa, FL • On-site

$112K - $135K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

Graham Technologies is seeking a highly skilled Data Engineer to design, develop, and maintain enterprise data engineering solutions that support advanced analytics and modernize large-scale data environments. The successful candidate will build secure, scalable cloud-based data pipelines, integrate data from multiple sources, and enable predictive analytics, artificial intelligence, and machine learning capabilities. This role also supports business intelligence initiatives by preparing data for dashboards, developing technical documentation, and facilitating knowledge transfer.
Location
Tampa, Florida
Responsibilities
  • Design, develop, and maintain scalable enterprise data pipelines supporting high-volume logistics data.
  • Develop ETL/ELT processes that integrate data from multiple enterprise logistics systems into centralized cloud-based data repositories.
  • Build and optimize data lake architectures supporting structured and unstructured data.
  • Develop batch and streaming data pipelines utilizing technologies such as Apache Kafka, Apache Airflow, and Apache NiFi.
  • Design and implement cloud-native storage and compute solutions within AWS or Azure environments.
  • Develop secure data architectures that comply with Department of Defense cybersecurity requirements.
  • Implement data governance, metadata management, data lineage, audit trails, and data quality controls.
  • Develop and maintain SQL and NoSQL databases supporting enterprise analytics.
  • Design and implement APIs supporting enterprise data integration and interoperability.
  • Collaborate with Data Scientists to prepare, transform, and optimize datasets for predictive analytics and machine learning models.
  • Develop reusable data models that support executive dashboards and business intelligence reporting using Power BI, Tableau, Qlik, or similar visualization platforms.
  • Monitor, troubleshoot, and optimize enterprise data pipelines and cloud infrastructure.
  • Create technical documentation including architecture diagrams, data dictionaries, interface specifications, API documentation, and standard operating procedures.
  • Participate in knowledge transfer activities and technical training sessions for Government personnel.
  • Support Agile software development activities including sprint planning, backlog refinement, demonstrations, and peer reviews.
  • Collaborate with cross-functional engineering teams to continuously improve enterprise data capabilities.
Required Qualifications
  • Active Top Secret with the ability to attain a SCI
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related technical discipline.
  • Minimum five (5) years of professional Data Engineering experience.
  • Experience designing and implementing enterprise ETL/ELT data pipelines.
  • Strong programming experience using Python.
  • Advanced SQL development experience.
  • Experience with NoSQL databases.
  • Experience with Apache Kafka or similar streaming technologies.
  • Experience with Apache Spark.
  • Experience with Apache Airflow, Apache NiFi, or comparable orchestration tools.
  • Experience designing and supporting cloud-based data solutions using AWS or Azure.
  • Experience implementing enterprise data governance, metadata management, and data quality processes.
  • Experience integrating data from multiple enterprise applications using APIs.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent written and verbal communication skills.
Preferred Qualifications
  • Experience supporting Department of Defense or Federal Government programs.
  • Experience supporting logistics, supply chain, sustainment, or operational data environments.
  • Experience with AWS S3, Azure Blob Storage, AWS KMS, or Azure Key Vault.
  • Experience developing enterprise data lakes or modern data warehouse solutions.
  • Experience supporting business intelligence and dashboard development.
  • Experience with containerized applications and DevSecOps pipelines.
  • AWS or Microsoft Azure 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.

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