ZipRecruiter

Log In

1

Insurance Data Processing Jobs in Texas (NOW HIRING)

Boeing

Associate Data Solutions Architect

Dallas, TX · On-site

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

New

Boeing

Associate Data Solutions Architect

Dallas, TX

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

New

Visa

Senior Data Engineer

Austin, TX · Hybrid

$110.70K/yr

Develop and maintain distributed data processing solutions using Apache Spark, including ... Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the ...

Visa

Senior Data Engineer

Austin, TX · On-site

$110.70K/yr

Develop and maintain distributed data processing solutions using Apache Spark, including ... Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the ...

Visa

Senior Data Engineer

Austin, TX · Hybrid

$110.70K/yr

Develop and maintain distributed data processing solutions using Apache Spark, including ... Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the ...

Charles Schwab Inc.

Manager, Data Engineering

Austin, TX · On-site

$174.53K - $187.10K/yr

Implement and manage change management processes using industry-standard tools (e.g., Jira, Control ... insurance; hybrid/remote work schedule available for eligible positions (subject to Schwab ...

Ragle Inc

Data Engineer

North Richland Hills, TX · On-site

$90K - $110K/yr

Build ETL/ELT processes integrating operational, accounting/payroll, and fleet telematics data ... insurance , paid time off and holidays , and professional development support . Additional ...

Ragle Inc

Data Engineer

North Richland Hills, TX · On-site

Build ETL/ELT processes integrating operational, accounting/payroll, and fleet telematics data ... insurance , paid time off and holidays , and professional development support . Additional ...

NFP

Senior Actuarial Analyst - P&C Insurance

Austin, TX · On-site +1

$85K - $115K/yr

Automate recurring data and reporting processes * Assist with statistical analysis and modeling ... years of related insurance industry experience * Progress toward Associate of the Casualty ...

Oscar Health

Associate, Provider Data Analytics

Dallas, TX · On-site

$87.19K - $114.43K/yr

Oscar is the first health insurance company built around a full stack technology platform and a ... Any Oscar applicant who requires reasonable accommodations during the application process should ...

Apex Systems

Data Architect

Bellaire, TX · Remote

$57.25 - $73.75/hr

Familiarity with various operating systems and data processing techniques. A working knowledge of ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Xpect Solutions

Data Engineer

Crystal City, TX · Hybrid

$99.70K - $119.70K/yr

The Architect will lead the design of scalable data platforms and processing pipelines, translating ... Life Insurance * AD&D Insurance * Short Term and Long Term Disability Insurance * 3 weeks of annual ...

Xpect Solutions

Data Engineer

Crystal City, TX · Hybrid

$99.70K - $119.70K/yr

The Architect will lead the design of scalable data platforms and processing pipelines, translating ... Life Insurance * AD&D Insurance * Short Term and Long Term Disability Insurance * 3 weeks of annual ...

next page

Showing results 1-20

People also search for

All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in Texas

Insurance Data Processing information

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 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 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 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

Senior Data Engineer - Cloud Data Platform

Charles Schwab

Austin, TX

$105.10K - $142.70K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 5 days ago

Job description

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us challenge the status quo and transform the finance industry together. We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s).

As a Senior Data Engineer supporting the Cloud Data Platform, you will play a critical role in shaping scalable, high-performing data solutions that enable business intelligence and strategic decision-making across the organization. This role is responsible for designing, developing, and delivering modern data pipelines and cloud-based data architectures that support batch, near real-time, and real-time data processing. You will partner closely with business stakeholders to translate strategic objectives into technical solutions, collaborating with architects to define architecture patterns that meet both functional and non-functional requirements.

You will evaluate and introduce new tools and technologies, lead proof-of-concept efforts, and recommend improvements to enhance the enterprise data ecosystem. Working cross-functionally with engineering teams, product vendors, and global delivery partners, you will ensure the stability, scalability, and performance of data platforms while proactively addressing delivery risks and implementing solutions to maintain momentum.

In this role, you will contribute to planning, estimation, and prioritization of technical initiatives while establishing standards, best practices, and governance for data engineering and development processes. You will drive data modeling, ETL development, performance tuning, and system optimization efforts, ensuring alignment with enterprise architecture and development methodologies. As a senior contributor, you will mentor team members, provide hands-on technical leadership, and foster a culture of continuous improvement, collaboration, and innovation. Your work will directly impact the organization’s ability to leverage data as a strategic asset, improving decision-making, operational efficiency, and business outcomes.

What you have

Required Qualifications

  • Bachelor’s degree in Computer Science, Information Technology, or related field
  • 10+ years of experience in ETL development, database engineering, and data platform support
  • 8+ years of hands-on experience with Informatica PowerCenter
  • 3+ years of experience with Informatica Intelligent Cloud Services (IICS) / IDMC
  • 3+ years of experience with Control-M or similar workload automation tools
  • 3+ years of experience working with Google Cloud Platform (GCS, BigQuery)
  • Strong expertise in SQL, relational databases, and data modeling concepts
  • Experience with Python, Perl, or other scripting languages for data processing and automation
  • Knowledge of data warehousing concepts and cloud-based architecture patterns supporting batch and real-time data processing
  • Experience with Agile development practices and tools such as Jira
  • Familiarity with source control, DevOps practices, and CI/CD pipelines (e.g., Git, Jenkins, Bamboo, Concourse)
  • Strong analytical, problem-solving, and critical-thinking skills with the ability to interpret and work with complex data sets
  • Effective communication and collaboration skills, with experience working across cross-functional and distributed teams

 

Preferred Qualifications

  • Experience in financial services or highly regulated industries
  • Experience collaborating directly with vendors such as Informatica or Google to troubleshoot and resolve platform issues
  • Ability to interpret trends, metrics, and data insights to inform business and technical decisions

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.


What’s in it for you

At Schwab, you’re empowered to shape your future. We champion your growth through meaningful work, continuous learning, and a culture of trust and collaboration—so you can build the skills to make a lasting impact. Our Hybrid Work and Flexibility approach balances our ongoing commitment to workplace flexibility, serving our clients, and our strong belief in the value of being together in person on a regular basis.

We offer a competitive benefits package that takes care of the whole you – both today and in the future:

  • 401(k) with company match and Employee stock purchase plan
  • Paid time for vacation, volunteering, and 28-day sabbatical after every 5 years of service for eligible positions
  • Paid parental leave and family building benefits
  • Tuition reimbursement
  • Health, dental, and vision insurance

Apply