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

They understand some of the most challenging processes, technologies, and can leverage a vast array ... Life Insurance STEMBoard is committed to hiring and retaining a diverse workforce. All qualified ...

They understand some of the most challenging processes, technologies, and can leverage a vast array ... Life Insurance STEMBoard is committed to hiring and retaining a diverse workforce. All qualified ...

Healthcare CSR - Remote

Tampa, FL ยท On-site +1

$16 - $18/hr

Update and maintain patient demographic and insurance data in the Electronic Health Record (EHR ... By combining experienced operational teams, proven processes, and purpose-built workflow technology ...

Healthcare CSR - Remote

Tampa, FL ยท Remote

$16 - $18/hr

Update and maintain patient demographic and insurance data in the Electronic Health Record (EHR ... By combining experienced operational teams, proven processes, and purpose-built workflow technology ...

Healthcare CSR - Remote

Tampa, FL ยท Remote

$16 - $18/hr

Update and maintain patient demographic and insurance data in the Electronic Health Record (EHR ... By combining experienced operational teams, proven processes, and purpose-built workflow technology ...

Jr. Data Analyst (part-time)

Tampa, FL ยท On-site

$53K - $113K/yr

Identify data quality issues, inconsistencies, and processing errors, and help resolve them ... We offer a comprehensive package of benefits including paid time off, health and welfare insurance ...

New

Jr. Data Analyst (part-time)

Tampa, FL ยท On-site

$53K - $113K/yr

Identify data quality issues, inconsistencies, and processing errors, and help resolve them ... We offer a comprehensive package of benefits including paid time off, health and welfare insurance ...

Data Engineer - Databricks

Tampa, FL ยท Hybrid

$108K - $129K/yr

Performance tuning for large-scale data processing * Data security and privacy best practices ... Company Paid Medical Insurance Option for Employee and Dependent Children * Company Paid Dental ...

Data Engineer - Databricks

Tampa, FL ยท On-site

$108K - $129K/yr

Performance tuning for large-scale data processing * Data security and privacy best practices ... Company Paid Medical Insurance Option for Employee and Dependent Children * Company Paid Dental ...

Insurance experience is highly preferred. * Solid foundation in data structures, algorithms, and system design. * Experience with modern data storage, messaging, and processing tools (e.g., SQL ...

AIT - AI Data Scientist Manager

Tampa, FL ยท On-site

$99K - $297K/yr

... processing - Utilizing machine learning and deep learning techniques to drive innovation and ... Management/Insurance - Applies statistical analysis, machine learning, data preparation ...

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Insurance Data Processing information

See Brandon, FL salary details

$10

$17

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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:

Data Scientist - TS/SCI

Tampa, FL โ€ข On-site

STEMboard
Guided Missile and Space Vehicle Manufacturingย โ€ขย 11 - 50 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Key responsibilities

  • Design, implement, and maintain a data pipeline.

  • Interpret and analyze complex data sets and develop machine learning projects using cloud-native platforms and advanced ML solutions.

  • Research, design, and implement algorithms to solve complex problems and develop predictive and prescriptive models.


Job description

STEMBoard is seeking a Data Scientist with knowledge in programming for integrating complex models and using advanced software library frameworks to distribute large, clustered data sets. The data scientist work with a team of data scientists and engineers that collect and arrange data in a form that is useful for analytics. A knowledge of machine learning is also desired to build efficient and accurate data pipelines to meet the needs for downstream users such as data scientists to create the models and analytics that produce insight.


Responsibilities:

A data scientist will have skills sets of both data analysts and data engineers. Data scientists are responsible for designing, implementing, and maintaining a data pipeline. In addition, data scientists shall interpret and analyze complex sets of data, as well as plan, execute, and manage ML projects with cloud-native platforms and advanced ML solutions. They understand some of the most challenging processes, technologies, and can leverage a vast array of methodologies in the field, such as data mining, natural language programming, and machine learning.


Data scientists must have a combination of skills that includes programming, mathematical modeling, statistics, and domain knowledge. They must combine an advanced math and statistics background with programming, domain knowledge, and communication skills to analyze data, create applied mathematical models, and present results in a form useful to the organization. They must also be able to understand and manipulate structured and unstructured large data sets, which requires proficiency in distributed SQL programming, relational and non-relational data queries, general programming languages (such as Python and R,) and machine learning techniques.

  • Apply and develop scientific methodology, statistics, and algorithms to discover and frame relevant problems, hypotheses, and opportunities.
  • Develop predictive and prescriptive modeling, natural language processing (NLP), Robotic Process Automation (RPA), text mining and processing, clustering, forecasting methods, and other advanced statistical techniques.
  • Design and automate processes to facilitate the manipulation and analysis of data. Manage and integrate data across dissimilar data sets. Analyze large-scale structured and unstructured data.
  • Use frameworks such as Spark and Hadoop to conduct large-scale data processing. Perform statistical modeling and create data visualizations using products like Tableau, Microsoft Power BI and R Shiny.
  • Research, design, and implement algorithms to solve complex problems. Program using R, Python (NumPy, SciPy, Pandas) or similar analytical languages.
  • Perform data engineering, data processing and modeling techniques using cloud-based data management, data science, and ML platforms such as Databricks, IBM Cloud Pak, Cloudera, and Snowflake.
  • Communicate complex concepts and hypothesis to a non-technical audience through digital storytelling.
  • plements cloud agnostic data toolsets, Mentors’ data science teams on best data practices, Implements OCI complaint containers, AI/ML pipelines, related storage solutions, and infrastructure as code.


Requirements:

  • Experience: 1+ years of experience with software engineering, data science or related experience.
  • Education: Bachelors or degree in STEM with a preference towards Data Science, Computer Science, or Software Engineering.
  • Tools: Proficient with one or more programming languages (Java, C++, Python, R, etc.)
  • Security Clearance: minimum of SECRET level
  • Proficient in Agile Development and Git Operations.
  • Demonstrated experience applying data science methods to real-world data problems. 


Benefits:

  • Healthcare, Vision, and Dental Insurance
  • 20 Days of PTO
  • Wellness Hours
  • 401K Matching
  • Training/Certification Reimbursement
  • Short term/Long term disability
  • Parental/Maternity Leave
  • Military Leave
  • Life Insurance


STEMBoard is committed to hiring and retaining a diverse workforce. All qualified candidates will receive consideration for employment without regard to disability, protected veteran status, race, color, religious creed, national origin, citizenship, marital status, sex, sexual orientation/gender identity, age, or genetic information. Selected applicant will be subject to a background investigation. STEMBoard is an Equal Opportunity/Affirmative Action employer.