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Insurance Data Processing Jobs in Texas (NOW HIRING)

Smash CR

Data Analyst (P-174)

Dallas, TX · On-site

Use Python and PySpark for data processing, transformation, automation, and analysis. * Work with ... Insurance industry experience. * Experience working with enterprise-scale cloud data platforms.

New

SWBC

Check Processing Representative (Onsite)

San Antonio, TX · On-site

$36K - $49K/yr

... insurance data into AS400, LPS, Citrix, and FIServ.; and assist in process of mailing out checks. Why you'll love this role: This role is an excellent opportunity that preforms various duties which ...

Tata Consultancy Service Limited

Data Engineer

Addison, TX · On-site

$95K - $120K/yr

... processes. These individuals provide technical thought leadership based on the significant ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

Gunvor

Insurance Manager

Houston, TX · On-site

... data. * Identify, evaluate, and mitigate operational risks across business entities and activities ... Train business stakeholders on insurance program features, claims processes, and changes to Group ...

Gunvor

Insurance Manager

Houston, TX · On-site

... data. * Identify, evaluate, and mitigate operational risks across business entities and activities ... Train business stakeholders on insurance program features, claims processes, and changes to Group ...

CVS Health

Sr. Data Engineer

Irving, TX · On-site +1

$114K - $185K/yr

Writing Extract/Transform/Load (ETL) processes; and Data analytics, data engineering, and data ... The Company provides a fully-paid term life insurance plan to eligible employees, and short-term ...

OrangePeople

Senior Data Architect

Plano, TX · On-site

$64.25 - $86/hr

Experience with Apache Spark and large-scale data processing. * Strong experience with SQL and at ... Dental Insurance. * Health insurance. * Vision insurance. * We are an equal-opportunity employer ...

Greystone

Insurance Analyst - Post Closing

Irving, TX · On-site

$19.25 - $26.25/hr

Preparation of insurance processing documentation, insurance payments, and maintaining insurance data. Primary Duties and Responsibilities: * Maintain evidence and invoice tracking in our servicing ...

Greystone

Insurance Analyst - Post Closing

Irving, TX · On-site

$19.25 - $26.25/hr

Preparation of insurance processing documentation, insurance payments, and maintaining insurance data. Primary Duties and Responsibilities: * Maintain evidence and invoice tracking in our servicing ...

Greystone

Insurance Analyst - Post Closing

Irving, TX · On-site

$19.25 - $26.25/hr

Preparation of insurance processing documentation, insurance payments, and maintaining insurance data. Primary Duties and Responsibilities: * Maintain evidence and invoice tracking in our servicing ...

New

Rysun Labs Inc

Data Technical Architect

Houston, TX · On-site

$70/hr

Vision insurance Rysun Labs (formerly KCS - Krish Compusoft Services) is an AI, Data & Digital ... Architect and optimize ETL/ELT pipelines for batch and real-time processing. * Collaborate with ...

Cotality

Principal, Data Engineer

Dallas, TX · On-site

Translate business requirements and processes into well-architected technical solutions, aligning ... Domain experience in Real Estate, Mortgage, or Insurance industries is highly desirable Annual Pay ...

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Showing results 21-40

All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in Texas

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 Texas?

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

What job categories do people searching Insurance Data Processing jobs in Texas look for?

The top searched job categories for Insurance Data Processing jobs in Texas are:

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

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

Insurance Data Processing jobs near you

Data Analyst (P-174)

Smash CR

Dallas, TX • On-site

Full-time

Posted 2 days ago

New

Job description

SMASH, Who we are?

We are agents for tech professionals in Costa Rica and Colombia that help them build careers in the United States.

We believe in long-lasting relationships with our talent. We invest time getting to know them and understanding what they seek as their professional next step.

We aim to find the perfect match. As agents, we pair our talent with our US clients, not only by their technical skills but as a cultural fit. Our core competency is to find the right talent fast.

We purposefully move away from the “contractor” or “outsourcing” type of relationship. Our clients don’t want contractors or “just a service.” Neither does our talent.

Our Benefits
  • Wellness Coverage
  • Remote Work
  • Birthday day off
  • Recognition and rewards system
  • Referrals Program
  • Business skill coaching
  • English classes for Smashers and relatives
  • Learning opportunities

This position is Remote to work with a US Company; you will require to have Citizenship or a work permit from Costa Rica to apply for this role.

Role summary

We are looking for an experienced Technical Data Analyst with a strong background in data analysis, large-scale data processing, and cloud-based data environments.

The ideal candidate will bring hands-on expertise with SQL, Python, Spark, Spark SQL, PySpark, and Microsoft Azure and will be comfortable working with complex datasets and technical data workflows. Experience with Microsoft Fabric and within the Pharmaceutical, Life Sciences, or Insurance industries will be highly valued.

Responsibilities
  • Analyze complex and large-scale datasets to identify trends, patterns, anomalies, and actionable insights.
  • Develop advanced SQL queries to extract, transform, validate, and analyze data.
  • Use Python and PySpark for data processing, transformation, automation, and analysis.
  • Work with Apache Spark and Spark SQL to process and analyze large datasets efficiently.
  • Support data analysis initiatives within Microsoft Azure environments.
  • Collaborate with technical and business stakeholders to understand data requirements and translate them into analytical solutions.
  • Perform data profiling, validation, reconciliation, and quality analysis to ensure accuracy and consistency.
  • Investigate data issues and perform root-cause analysis across datasets and data workflows.
  • Support the development and improvement of scalable data processes and analytical solutions.
  • Document data requirements, business rules, analytical findings, and technical processes.
  • Communicate technical findings clearly to both technical and non-technical stakeholders.
Requirements – Must-haves
  • 5–6+ years of experience working on technical Data Analyst or closely related data projects.
  • Strong hands-on SQL experience.
  • Strong hands-on Python experience for data analysis and processing.
  • Experience with Apache Spark.
  • Strong experience with Spark SQL.
  • Hands-on experience with PySpark.
  • Experience working within Microsoft Azure data environments.
  • Experience analyzing and transforming large and complex datasets.
  • Strong understanding of data structures, data quality, and data validation.
  • Strong analytical and problem-solving skills.
  • Ability to independently investigate technical data issues and drive them toward resolution.
  • Strong communication skills and ability to collaborate across technical and business teams.
Nice-to-haves (optional)
  • Hands-on experience with Microsoft Fabric – strongly preferred.
  • Pharmaceutical industry experience.
  • Life Sciences industry experience.
  • Insurance industry experience.
  • Experience working with enterprise-scale cloud data platforms.
  • Exposure to modern data engineering, data lake, or data warehouse architectures.
Languages
  • English C1
  • Spanish C1

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