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

Lead Data Engineer

Saint Petersburg, FL Β· Hybrid

$96K - $127K/yr

This position plays a key role in supporting Annuity and Life Insurance initiatives, including ... Develop and maintain data integration solutions supporting business-critical processes and ...

Senior Data Engineer

Tampa, FL Β· On-site

$137K - $166K/yr

Optimize data processing workflows for performance and scalability Documentation: Create and ... Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance ...

Senior Data Engineer

Tampa, FL Β· On-site

$137K - $166K/yr

Optimize data processing workflows for performance and scalability * Documentation: Create and ... Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance ...

Java Lead

Tampa, FL Β· On-site

$60K - $135K/yr

Expertise in Spark Batch for large-scale data processing and analytics * Experience with Spark ... insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Reinvent ...

Define/propose acquisition policies and processes * Acquire data via APIs * Ensure collection ... Life Insurance * Paid Military Leave STEMBoard is committed to hiring and retaining a diverse ...

Data Manager

Tampa, FL Β· On-site

$92K - $100K/yr

Define/propose acquisition policies and processes * Acquire data via APIs * Ensure collection ... Life Insurance * Paid Military Leave ο»ΏSTEMBoard is committed to hiring and retaining a diverse ...

Additional benefits include health, vision, dental insurance, 401k, paid time away, volunteer days ... Apply strong attention to detail to minimize errors and uphold data integrity across systems Client ...

Develop and implement data models, algorithms, and AI solutions to optimize supply chain processes ... Comprehensive health, dental, and vision insurance. * Retirement savings plan with company match.

Data Engineer - Databricks

Tampa, FL Β· On-site

$104K - $125K/yr

Process improvement and efficiency focus * Quality mindset for data accuracy and reliability ... Company Paid Vision Insurance for Employee * Company Paid Long and Short‑Term Disability

Develop and implement data models, algorithms, and AI solutions to optimize supply chain processes ... Comprehensive health, dental, and vision insurance. * Retirement savings plan with company match.

Showing results 21-40

Insurance Data Processing information

See Brandon, FL salary details

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How much do insurance data processing jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for insurance data processing in Brandon, FL is $17.61, according to ZipRecruiter salary data. Most workers in this role earn between $13.99 and $19.42 per hour, depending on experience, location, and employer.

What is insurance data processing?

Insurance Data Processing refers to the collection, entry, management, and analysis of data related to insurance policies, claims, customers, and transactions. Professionals in this field use specialized software and systems to ensure that insurance information is accurate, up-to-date, and secure. Their work supports the smooth operation of insurance companies by helping to process claims, issue policies, and generate reports for decision-making. Accuracy and attention to detail are crucial in this role due to the sensitive nature of insurance data.

What are the key skills and qualifications needed to thrive as an insurance data processing specialist?

To thrive as an Insurance Data Processing Specialist, you need strong attention to detail, proficiency in data entry, and a solid understanding of insurance terminology, typically supported by a high school diploma or relevant associate degree. Familiarity with insurance management software, claims processing systems, and database tools such as Microsoft Excel is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication help you excel in managing large volumes of sensitive information. These skills ensure accuracy, minimize errors, and support efficient operations within insurance organizations.

What are some common challenges faced in an insurance data processing role and how can they be addressed?

One of the main challenges in Insurance Data Processing is managing large volumes of sensitive data accurately and efficiently, especially when dealing with tight deadlines and evolving regulatory requirements. Errors in data entry or processing can impact claims or policy management, making attention to detail and strong organizational skills essential. To address these challenges, many teams rely on robust data management software, regular training, and collaborative workflows to ensure accuracy and compliance. Proactively seeking feedback and staying updated on industry best practices can also help professionals excel in this role.

What is the difference between Insurance Data Processing vs Insurance Claims Processing?

AspectInsurance Data ProcessingInsurance Claims Processing
Required CredentialsTypically high school diploma or equivalent; some roles may require certifications in data managementHigh school diploma or equivalent; often requires knowledge of claims procedures and insurance policies
Work EnvironmentOffice setting, working with databases and data entry systemsOffice environment, interacting with claim documents and insurance systems
Employer & Industry UsageInsurance companies, third-party administrators, data service providersInsurance companies, claims adjusters, third-party claims processors

Insurance Data Processing involves managing and organizing insurance-related data, focusing on data accuracy and database management. Insurance Claims Processing centers on evaluating and processing insurance claims submitted by policyholders, ensuring proper documentation and compliance. While both roles support insurance operations, Data Processing emphasizes data management, whereas Claims Processing focuses on claim evaluation and settlement.

What are popular job titles related to Insurance Data Processing jobs in Brandon, FL?

For Insurance Data Processing jobs in Brandon, FL, the most frequently searched job titles are:

What job categories do people searching Insurance Data Processing jobs in Brandon, FL look for?

The top searched job categories for Insurance Data Processing jobs in Brandon, FL are:

What cities near Brandon, FL are hiring for Insurance Data Processing jobs?

Cities near Brandon, FL with the most Insurance Data Processing job openings:

Lead Data Engineer

Saint Petersburg, FL β€’ Hybrid

Raymondjames
10K+ employees

$96K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago


Job description

Job Description Summary

This position follows our hybrid workstyle policy: expected to be in a Raymond James office location three days per week, with at least one of those days being a Monday or a Friday.
Please note: This role is not eligible for Work Visa sponsorship, either currently or in the future.

Job Description

Job Description Summary

As part of the Wealth Management Technology organization, the Lead Data Engineer, Apps Dev serves as a technical leader within the Annuity and Life Insurance Solutions team, supporting critical enterprise applications, data solutions, and business initiatives. This role is responsible for delivering scalable, secure, and efficient technology solutions that support business operations, application modernization, production stability, and strategic technology objectives across the Wealth Management department.

The ideal candidate combines deep expertise in Oracle database development, data engineering, application integration, and production support with strong technical leadership and problem-solving capabilities. This position plays a key role in supporting Annuity and Life Insurance initiatives, including application modernization, CSS decommissioning initiatives, platform enhancements, system decommission efforts, and ongoing operational excellence, while partnering closely with business and technology stakeholders to deliver reliable, high-quality solutions.

This role requires hands-on experience with Oracle SQL, PL/SQL, enterprise job scheduling platforms, automation, and modern software delivery practices. The Lead Data Engineer will lead technical design, development, implementation, troubleshooting, and continuous improvement initiatives while promoting engineering best practices, supporting Agile delivery teams, and ensuring operational excellence across critical business applications. The successful candidate will demonstrate a strong balance of technical expertise, business acumen, and leadership skills to influence outcomes, mentor team members, reduce operational risk, and drive the successful delivery of innovative technology solutions that support advisor, client, and business needs. The role also requires proficiency in leveraging AI-enabled engineering tools and practices to improve productivity, code quality, documentation, testing, and delivery efficiency while maintaining accountability for solution quality, security, and performance.

Responsibilities

Technical Leadership & Solution Delivery

  • Lead the design, development, testing, deployment, and support of scalable, high-performance data solutions supporting Annuity and Life Insurance applications.

  • Provide technical leadership across KTLO, RTB, and CTB initiatives, ensuring successful delivery of business and technology objectives.

  • Drive application modernization, CSS decommissioning initiatives, system enhancements, and technology improvement efforts while maintaining operational stability.

  • Mentor engineering team members and promote engineering excellence through technical guidance, knowledge sharing, and best practices.

Oracle Database & Data Engineering

  • Design, develop, and optimize Oracle SQL, PL/SQL stored procedures, database packages, functions, and performance-tuned queries.

  • Perform database design, data modeling, performance tuning, query optimization, and capacity planning for enterprise applications.

  • Analyze and resolve complex data, database, and application performance issues to ensure reliability, scalability, and operational efficiency.

  • Develop and maintain data integration solutions supporting business-critical processes and enterprise applications.

Application Development & Integration

  • Analyze business and system requirements to identify application interactions, data flows, dependencies, and integration points.

  • Translate functional and technical requirements into scalable, secure, and maintainable application solutions.

  • Collaborate with Product Owners, Business Analysts, QA, DevOps, and Project Managers to deliver high-quality technology solutions.

  • Participate in architecture reviews, technical design reviews, and code reviews to ensure compliance with enterprise standards and engineering best practices.

Production Support & Operational Excellence

  • Provide technical leadership for production support activities across critical Annuity and Life Insurance applications.

  • Lead troubleshooting efforts for production incidents, perform root cause analysis, and implement long-term corrective actions.

  • Monitor application performance, data processing activities, and operational metrics to ensure platform stability, availability, and service continuity.

  • Support release management, deployment validation, operational readiness, disaster recovery planning, and ongoing system maintenance activities.

Batch Processing & Automation

  • Design, develop, and support enterprise batch-processing solutions utilizing BMC Control-M and related job scheduling platforms.

  • Manage job scheduling, workflow orchestration, monitoring, recovery processes, and operational support procedures to support critical business operations.

  • Identify automation opportunities to improve operational efficiency, reliability, and scalability.

  • Develop and maintain automation solutions to streamline development, deployment, monitoring, and support processes.

AI-Enabled Engineering

  • Leverage AI-powered development tools such as GitHub Copilot, Claude Code, and Microsoft Copilot to improve productivity, code quality, documentation, testing, and troubleshooting.

  • Apply AI-assisted engineering practices while maintaining accountability for solution accuracy, security, compliance, and maintainability.

  • Identify opportunities to utilize AI and automation technologies to enhance engineering effectiveness and business outcomes.

  • Promote responsible adoption of AI technologies within engineering teams through best practices and governance standards.

Collaboration & Strategic Partnership

  • Build strong partnerships across business and technology organizations to drive alignment, execution, and successful delivery of initiatives.

  • Support application modernization, system decommissioning, and strategic transformation programs, including impact assessments, dependency analysis, and implementation planning.

  • Communicate technical risks, recommendations, and solution approaches effectively to technical and non-technical stakeholders.

  • Evaluate emerging technologies and develop proof-of-concepts that support innovation, continuous improvement, and long-term business objectives.

Education

Bachelor's (Required)

Work Experience

General Experience - 6 to 10 years

Certifications

Travel

Less than 25%

Workstyle

Hybrid

The total compensation for this position includes base salary or wages, and may include components such as additional compensation (cash or equity), discretionary bonuses, or commissions. This position is eligible for a benefits package that may include medical, dental, and vision; life insurance; critical illness insurance and accident insurance; disability benefits; retirement savings; paid time off (including vacation, holidays, and sick leave); and parental leave. Eligibility for benefits and specific offerings may vary based on position and employment status. To view more details of the benefits offered, visit Myrjbenefits.com.

At Raymond James our associates use five guiding behaviors (Develop, Collaborate, Decide, Deliver, Improve) to deliver on the firm's core values of client-first, integrity, independence and a conservative, long-term view.
We expect our associates at all levels to:
Grow professionally and inspire others to do the same
Work with and through others to achieve desired outcomes
Make prompt, pragmatic choices and act with the client in mind
Take ownership and hold themselves and others accountable for delivering results that matter
Contribute to the continuous evolution of the firm

At Raymond James - as part of our people-first culture, we honor, value, and respect the uniqueness, experiences, and backgrounds of all of our Associates. When associates bring their best authentic selves, our organization, clients, and communities thrive. The Company is an equal opportunity employer and makes all employment decisions on the basis of merit and business needs.

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