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Insurance Data Processing Jobs in Florida (NOW HIRING)

... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ... Process and analyze large-scale geospatial datasets * Create data visualization and reporting ...

... vision insurance, 401K with company matching, flexible spending accounts, paid holidays, three ... Process and analyze large-scale geospatial datasets * Create data visualization and reporting ...

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 ...

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 ...

Job Summary AmeriLife is a national leader in insurance and financial services. Our AI & Data ... Working knowledge of PySpark for large-scale data processing and feature engineering * Advanced SQL ...

Job Summary AmeriLife is a national leader in insurance and financial services. Our AI & Data ... Working knowledge of PySpark for large-scale data processing and feature engineering * Advanced SQL ...

Sr. Data Privacy Engineer

Saint Petersburg, FL ยท Hybrid

$100K - $136K/yr

Integrate outputs from OneTrust EDD into TDM processes and other data protection workflows ... insurance; critical illness insurance and accident insurance; disability benefits; retirement ...

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

Sr Data Engineer

Miami, FL ยท On-site

$101K - $137K/yr

Architect and build data pipelines that can process and analyze large-scale datasets in real-time ... Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ...

Sr Data Engineer

Miami, FL ยท On-site

$101K - $137K/yr

Architect and build data pipelines that can process and analyze large-scale datasets in real-time ... Our Associates have access to robust health insurance plans, including Medical, Dental, and Vision ...

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Referral Coordinator

Mount Dora, FL ยท 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 ...

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Insurance Data Processing information

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 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, and why are they important?

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 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:
Sr Big Data Pyspark, Python, SQL expert, Hadoop

Sr Big Data Pyspark, Python, SQL expert, Hadoop

LTIMindtree

Tampa, FL โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

About LTIMindtree

LTIMindtree is a global technology consulting and digital solutions company that enables enterprises across industries to reimagine business models, accelerate innovation, and maximize growth by harnessing digital technologies. As a digital transformation partner to more than 750 clients, LTIMindtree brings extensive domain and technology expertise to help drive superior competitive differentiation, customer experiences, and business outcomes in a converging world. Powered by nearly 90,000 talented and entrepreneurial professionals across more than 30 countries, LTIMindtree a Larsen & Toubro Group company combines the industry-acclaimed strengths of erstwhile Larsen and Toubro Infotech and Mindtree in solving the most complex business challenges and delivering transformation at scale. For more information, please visit

Job Title: Big data Developer

Work Location : Tampa, florda/ Irving, TX

Duration: Full time

Job Summary

  • Seeking a Specialist with 5 to 7 years of experience in the Big Data Hadoop Ecosystem to design develop and optimize largescale data solutions

Job Description

  • Work extensively with the Big Data Hadoop Ecosystem to manage and process large datasets Utilize Hadoop components such as HDFS MapReduce and YARN for efficient data storage and processing Develop scalable data pipelines and workflows to support data analytics and business intelligence initiatives Collaborate with cross functional teams to integrate data from diverse sources Leverage Apache Spark and SparkSQL to improve data processing speed and efficiency Apply Python programming skills for data manipulation automation and scripting tasks Ensure data quality reliability and security across all data processes Stay updated with the latest advancements and trends in Hadoop and big data technologies

Roles and Responsibilities

  • Design develop and maintain big data solutions using Hadoop Ecosystem components Optimize and tune Hadoop and Spark jobs to enhance performance and scalability Implement data ingestion transformation and aggregation processes Troubleshoot and resolve issues related to data processing and storage Collaborate with data scientists analysts and other stakeholders to gather and understand data requirements Develop and maintain comprehensive documentation for data workflows architecture and processes Mentor junior team members and provide technical guidance on big data technologies Participate in code reviews testing and deployment activities to ensure high quality deliverables

Benefits and Perks:

Comprehensive Medical Plan Covering Medical, Dental, Vision

Short Term and Long-Term Disability Coverage

401(k) Plan with Company match

Life Insurance

Vacation Time, Sick Leave, Paid Holidays

Paid Paternity and Maternity Leave

The range displayed on each job posting reflects the minimum and maximum salary target for the position across all Canada locations. Within the range, individual pay is determined by work location and job level and additional factors including job-related skills, experience, and relevant education or training. Depending on the position offered, other forms of compensation may be provided as part of overall compensation like an annual performance-based bonus, sales incentive pay and other forms of bonus or variable compensation.

LTIMindtree is an equal opportunity employer that is committed to diversity in the workplace. Our employment decisions are made without regard to race, colour, creed, religion, sex (including pregnancy, childbirth or related medical conditions), gender identity or expression, national origin, ancestry, age, family-care status, veteran status, marital status, civil union status, domestic partnership status, military service, handicap or disability or history of handicap or disability, genetic information, atypical hereditary cellular or blood trait, union affiliation, affectional or sexual orientation or preference, or any other characteristic protected by applicable federal, state, or local law, except where such considerations are bona fide occupational qualifications permitted by law.