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Insurance Data Processing Jobs in Florida (NOW HIRING)

Data Solutions Engineer

Orlando, FL

$106K - $128K/yr

RESPONSIBILITIES: • Develop and implement data processing workflows and pipelines to support ... Life Insurance * Voluntary Accident Insurance - Self and Family * Short and Long-Term Disability

Business Process Validation * Insurance industry experience (P&C and/or Life Insurance). * Experience supporting enterprise data warehouse environments. Demonstrated Expertise In: * Data quality ...

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Referral Coordinator

Mount Dora, FL · On-site

$16.50 - $19.50/hr

Process and communicate service requests to specialty offices * Ensure complete and accurate registration, patient demographics, and insurance data * Obtain consult reports and complete the referral ...

Senior Big Data Developer

Tampa, FL · On-site

$113K - $170K/yr

Your work will directly shape how Citi processes and operationalizes data at scale - driving ... insurance; and wellness programs. Citi also offers paid time off packages, including planned time ...

Senior Big Data Developer

Tampa, FL · On-site

$114 - $171/hr

Your work will directly shape how Citi processes and operationalizes data at scale -- driving ... insurance; and wellness programs. Citi also offers paid time off packages, including planned time ...

Senior Big Data Developer

Tampa, FL · On-site

$113K - $170K/yr

Your work will directly shape how Citi processes and operationalizes data at scale -- driving ... insurance; and wellness programs. Citi also offers paid time off packages, including planned time ...

Data Engineer - PySpark

Tampa, FL · On-site

$60K - $135K/yr

... data processing tools and techniques. Experience with the Hadoop ecosystem including Hive, HDFS ... insurance, paid time off (inclusive of sick leave), other paid and unpaid leave options. Applicants ...

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Referral Coordinator

Summerfield, FL · On-site

$16.50 - $19.50/hr

Process and communicate service requests to specialty offices * Ensure complete and accurate registration, patient demographics, and insurance data * Obtain consult reports and complete the referral ...

Data Platform Engineer

Orlando, FL · On-site +1

$106K - $128K/yr

You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality ... Life Insurance * Flexible Paid Time Off * 9 paid Holidays * Family Leave * Work From Home * Free ...

Data Platform Engineer

Miami, FL · On-site +1

$109K - $131K/yr

You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality ... Life Insurance * Flexible Paid Time Off * 9 paid Holidays * Family Leave * Work From Home * Free ...

Data Platform Engineer

Tampa, FL · On-site +1

$108K - $129K/yr

You'll own end-to-end data pipelines and API services that ingest, process, and expose high-quality ... Life Insurance * Flexible Paid Time Off * 9 paid Holidays * Family Leave * Work From Home * Free ...

Showing results 41-60

Insurance Data Processing information

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 Florida?

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

What cities in Florida are hiring for Insurance Data Processing jobs?

Cities in Florida with the most Insurance Data Processing job openings:

Infographic showing various Insurance Data Processing job openings in Florida as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, and 4% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

$106K - $128K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 22 days ago


Job description

Join our team as a Data Solutions Engineer, where you will play a key role in designing and developing enterprise data solutions. This role works across the data lifecycle, including data analysis, data modeling, data architecture, data engineering, and data integration.


You will work closely with cross-functional teams to understand data needs and develop practical, scalable data solutions. Your work will support and enhance our enterprise data strategy, including master data management, by centralizing transformations and creating consistent, trusted data across the organization.


RESPONSIBILITIES:
• Develop and implement data processing workflows and pipelines to support solutions development and business intelligence needs.
• Design and develop scalable and effective data solutions to support the flow and integration of data across systems.
• Use big data technologies like Azure Data Lake, Synapse Analytics, and Data Factory to handle and analyze large volumes of data.
• Develop and maintain data storage solutions, including Azure SQL Database, PostgreSQL, Azure Data Lake, and Azure Blob Storage.
• Support the Enterprise Data Model by managing the medallion architecture layers in the data lake.
• Support master data management, data modeling, and architecture by centralizing transformations and business rules to create consistent, trusted enterprise data.
• Implement data validation and cleansing procedures to ensure the highest level of data quality and integrity.
• Use Microsoft Fabric to support data engineering, analytics, and business intelligence solutions.
• Use Microsoft Power Platform and Logic Apps to support data integration, automation, and application development needs.


REQUIRED TECHNICAL SKILLS:
Proficiency in the following tools, technologies, and data concepts:
• Azure Data Factory, Azure SQL Database, PostgreSQL, Azure Blob Storage, Azure Data Lake Storage
• Azure Synapse Analytics, Azure Databricks, Apache Spark, Apache Airflow
• Azure Logic Apps, Azure DevOps, Power Automate, REST API
• Familiarity with Azure OpenAI and Document Intelligence for turning unstructured content into usable data.
• Data analysis, data modeling, data architecture, and master data management
• Medallion architecture design patterns using Delta Lake (bronze, silver, gold layers)
• Microsoft Fabric, including Lakehouse, Data Engineering, and Real-Time Analytics
• Microsoft Power Platform (Power Apps, Power Automate, Power BI) for low-code data integration and automation
• Version control and CI/CD practices for data workflows using Azure DevOps and Git

REQUIRED EDUCATION AND EXPERIENCE:
1. Bachelor’s degree in Computer Science, Information Technology, or a related field.
2. 5 years of hands-on experience developing data and software solutions.


REQUIRED INTERPERSONAL AND COMMUNICATION SKILLS:
1. Maintain effective relationships with clients and internal customers (Attorneys, Litigation Support, IP Services, and other support staff).
2. Ability to lead and build consensus among peers and staff.
3. Understanding and ability to follow project management methodologies.
4. Accurately manage and report time worked on projects.
5. Ability to prioritize and manage tasks effectively.
6. Ability to work in a fast-paced, flexible environment.
7. Ability to effectively communicate technical concepts with an audience.
8. Must be able to perform essential duties of the position with time constraints, interruptions, and under stress.


OTHER DESIRED TRAITS:
1. Demonstrates attention to detail with a professional, efficient, and business-like manner. Proactive and showing initiative, flexible, and willing to take on new and challenging tasks.


TRAVEL REQUIREMENT:
Minimal

How to Apply:

Interested individuals should apply directly via our job posting.

About Us:

BakerHostetler is recognized as one of the leading law firms in the country. With more than 1,000 attorneys located in 18 offices from coast to coast, BakerHostetler is a great place to work for those who seek professional and personal growth in a collaborative environment. We deliver the highest quality counsel to our clients, who include many of the nation’s largest and most well-known companies. BakerHostetler’s values have remained unchanged since our founding more than 100 years ago: dedication to the law, commitment to the highest standard of client service, continuous development of our people and active participation in the communities in which we work and live.

BakerHostetler offers a comprehensive and competitive benefit program.  Specific information is provided during the interview process.

  • Competitive Salaries
  • Performance Bonus Program
  • Generous Time Off
  • Generous Retirement Program including 401(k) Plan
  • Group Health, Dental and Vision Insurance
  • BHealthy Wellness Program
  • Life Insurance
  • Voluntary Accident Insurance – Self and Family
  • Short and Long-Term Disability
  • Pre-Tax Benefit Programs

Please visit www.bakerlaw.com for more information about our Firm.

Baker & Hostetler LLP is an Equal Opportunity Employer.

The expected annual salary for this position ranges from the below. The salary offered will be determined by a wide range of factors including but not limited to experience level, education/training, and relevant skills.

Ohio, Georgia, Texas, Florida, Colorado - $120,000-155,000/year

California, Pennsylvania, Illinois, Washington D.C., Washington- $130,000-165,000/year

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