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Insurance Data Processing Jobs in Texas (NOW HIRING)

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Support MLOps workflows and contribute to model deployment and data integration processes. * Work ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

Data Engineer

Irving, TX · On-site

$120K - $130K/yr

Must Have Technical/Functional Skills • SQL Server, Azure SQL, T-SQL • Python (data processing ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

Data Engineer Architect Experience 15+Years Looking for a data professional with expertise in data ... insurance, mortgage, banking domains. - Proficiency in building stream processing systems using ...

New

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Handson experience with Apache Spark, Kafka, and distributed data processing technologies ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Support MLOps workflows and contribute to model deployment and data integration processes. * Work ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

Data Engineer - Hybrid

Irving, TX · On-site

$75K - $130K/yr

Hands-on experience with Apache Spark, Kafka, and distributed data processing technologies ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

Diverse Lynx is seeking a Data Engineer Architect to build systems that manage and convert raw data ... in insurance, mortgage, banking domains. • Proficiency in building stream processing systems ...

Sr Big Data PySpark- Full time

Irving, TX

$53.50 - $70.75/hr

Design develop and optimize highperformance data processing applications leveraging Apache Spark ... Insurance Vacation Time, Sick Leave, Paid Holidays Paid Paternity and Maternity Leave The range ...

Data Engineer - Hybrid

Irving, TX · On-site +1

$75K - $130K/yr

Hands-on experience with Apache Spark, Kafka, and distributed data processing technologies ... This position is eligible for company benefits including medical, dental, and vision insurance with ...

New

Experience with scripting languages (Python or R programming) for data processing and automation ... health insurance, flexible spending accounts, health savings accounts, retirement savings plans ...

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Showing results 1-20

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 highest paid position in insurance?

In insurance, executive roles such as Chief Executive Officer (CEO), Chief Underwriting Officer, or Chief Risk Officer tend to be the highest paid positions, often earning six-figure salaries plus bonuses. These roles require extensive experience, leadership skills, and industry knowledge, and they oversee company strategy, underwriting, and risk management functions.

What does a data analyst do in an insurance company?

A data analyst in an insurance company collects, processes, and analyzes large datasets to identify trends, assess risks, and support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and improve underwriting, claims processing, and pricing strategies.

What is the highest paid job in insurance?

In insurance, executive roles such as Chief Underwriting Officer or Chief Risk Officer tend to be the highest paid, often earning six-figure salaries plus bonuses. These positions require extensive industry experience, leadership skills, and often advanced certifications like CPCU or ARM.

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 is the highest paying data entry job?

In the field of insurance data processing, senior or specialized roles such as data analysts or claims processors tend to have higher salaries, especially those with advanced skills in database management, data analysis tools, or certifications. These positions often require experience and technical proficiency, leading to higher compensation compared to entry-level data entry roles.

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 Texas? For Insurance Data Processing jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Insurance Data Processing jobs? Cities in Texas with the most Insurance Data Processing job openings:
Data Engineer - Hybrid

Data Engineer - Hybrid

NTT DATA

Irving, TX • On-site, Remote

$75K - $130K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


NTT Data rating

7.3

Company rating: 7.3 out of 10

Based on 90 frontline employees who took The Breakroom Quiz

107th of 204 rated it services


Job description

Data Engineer - Hybrid

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Engineer to join our team in Irving, Texas, United States.

We are looking for a Data Engineer who is passionate about building scalable data systems and enabling high-quality analytics, machine learning, and business intelligence. In this role, you will design modern data pipelines, optimize storage solutions, and collaborate closely with cross-functional teams to deliver reliable, high-impact data infrastructure. If you enjoy solving complex data challenges and want to contribute to a fast-moving engineering environment, this role offers the opportunity to make a meaningful impact.

Responsibilities

  • Design and build robust, scalable data pipelines to ingest structured and unstructured data from diverse sources.
  • Develop and optimize data storage solutions, including relational databases, NoSQL systems, and data lakes.
  • Implement data validation, automated testing, and monitoring to ensure accuracy, reliability, and compliance.
  • Partner with Data Scientists, Product Managers, and Software Engineers to build infrastructure that supports ML models, analytics, and BI dashboards.
  • Participate in feature discussions, help prioritize work, and guide teams toward consensus.
  • Develop prototypes to validate concepts and accelerate solution design.
  • Identify root causes of data issues, assess business impact, and propose effective solutions.
  • Solve complex problems related to data quality, object identity, and error handling.
  • Support MLOps workflows and contribute to model deployment and data integration processes.
  • Work as part of an Agile/Scrum team and participate in related ceremonies.
  • Maintain clear documentation for data models, pipelines, and operational processes.

Qualifications & Requirements

  • 5+ years of overall experience in data engineering or related fields.
  • 3+ years of experience building data pipelines using PySpark, Django, or similar frameworks, with strong proficiency in Python or Java/Scala.
  • 2+ years of advanced SQL experience, including database modeling and query optimization.
  • Hands-on experience with Apache Spark, Kafka, and distributed data processing technologies.
  • Experience deploying data platforms in cloud environments such as AWS, Google Cloud, or Azure.
  • Strong Python experience, including libraries such as NumPy and pandas for data loading and transformation.
  • Experience scheduling and orchestrating workflows using tools like Apache Airflow or dbt.
  • Practical experience with MLOps concepts and supporting ML model lifecycle workflows.
  • Working knowledge of relational and non-relational databases, including data modeling principles.
  • Experience collaborating within Agile/Scrum teams and participating in sprint ceremonies.
  • Working knowledge of Unix/Linux environments.

Pay Transparency

Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $75,168-$130,500. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short- and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

About NTT DATA

NTT DATA is a $30+ billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. Our consulting and industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is part of NTT Group, which invests over $3 billion each year in R&D.


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About NTT DATA

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NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967