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Insurance Data Processing Jobs in Texas (NOW HIRING)

Data Processing Engineer

Austin, TX · On-site +1

$111K - $144K/yr

Analyze data based on the consumption of blogs for the marketing team. * Develop processes ... Health, Vision, and Dental Insurance * Health Savings Account (HSA) available with Employer ...

Data Processing Engineer

Austin, TX · On-site

$111K - $144K/yr

Data Processing Engineer Austin, Texas | Remote SpyCloud is on a mission to make the internet a ... Health, Vision, and Dental Insurance * Health Savings Account (HSA) available with Employer ...

... data from a variety of insurance-related sources. • Perform exploratory data analysis to identify ... solutions and process efficiencies using statistical methods, database technologies, and ...

Performs time-sensitive account maintenance before and after account processing cycles. * Enters updates to the pertinent insurance data into the computer system in a timely manner ensuring accuracy ...

Performs time-sensitive account maintenance before and after account processing cycles. * Enters updates to the pertinent insurance data into the computer system in a timely manner ensuring accuracy ...

Data Integrity Representative

San Antonio, TX · On-site

$14 - $17.75/hr

Performs time-sensitive account maintenance before and after account processing cycles. * Enters updates to the pertinent insurance data into the computer system in a timely manner ensuring accuracy ...

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Document data pipelines, data models, technical processes, and operational procedures. Required Skills * 10+ years of experience in Data Engineering or related data-focused roles. * Strong Insurance ...

Data Modeler

Dallas, TX · On-site

$54.25 - $70.25/hr

... and processes, to adjust for rapidly changing technologies and environments Skills List: • ... Ideal member will develop knowledge of our insurance data and how it is used. Will grow to be a ...

Gen AI Engineer

Plano, TX · On-site

$110K - $132K/yr

Roles & Responsibilities Core Roles and Responsibilities Work with the Insurance Data Science teams ... Conduct thorough quality checks to ensure the accuracy and reliability of the data and processes ...

Data Engineer

Houston, TX · On-site

$60/hr

Vision insurance Rysun Labs (formerly KCS - Krish Compusoft Services) is an AI, Data & Digital ... Optimize SQL queries, database performance, and data processing workflows. * Monitor and ...

Health Insurance Analyst

Dallas, TX

$19.75 - $27/hr

Process of a claim once it is submitted. Knowledge of the lifecycle from when it is submitted in to ... insurance ( Data, Configuration, or Enrollment) Compliments the team and environment by being ...

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

Big Data Engineer

San Antonio, TX · On-site

$50.75 - $67/hr

The ideal candidate has a deep understanding of distributed systems, data processing frameworks ... No cost to you. * Life Insurance - 100% employee coverage. No cost to you. * Additional ...

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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 cities in Texas are hiring for Insurance Data Processing jobs?

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

Data Processing Engineer

SpyCloud

Austin, TX • On-site, Remote

$111K - $144K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted yesterday


Job description

SpyCloud is on a mission to make the internet a safer place by disrupting the criminal underground. SpyCloud's solutions thwart cyberattacks and protect more than 4 billion accounts worldwide. Cybersecurity is an exciting, evolving space, and being at the forefront of the fight to disrupt cybercrime makes SpyCloud a special place to work. If you're driven to align your career with a fantastic mission, look no further!
*The ideal candidate for this role would work hybrid (2 days per week) in our Austin, Texas headquarters. We are also open to candidates who are remote in the United States, but can travel to our headquarters 1-2 times per quarter*
We are looking for a passionate Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis techniques, AWS, ETL patterns, and Automation techniques. This is a local or remote role supporting a hybrid workforce with an expected 40 hours per week.
Our Stack:
  • Python
  • Linux
  • Databases: Elasticsearch, SQL, Databricks
  • AWS (EC2, RDS, SQS, S3, Lambda, API Gateway, and more)

What You'll Do:
  • Parse, clean, and transform structured and unstructured datasets to the spycloud schema.
  • Build Python-based automation for the parsing platform.
  • Bring order to dirty and/or unstructured data.
  • Develop ETL-style automation scripts.
  • Monitor the ingestion process for issues.
  • Collaborate with the team to design and build innovative data systems.
  • Analyze data based on the consumption of blogs for the marketing team.
  • Develop processes, standards and CI/CD pipelines to manage our codebase.
  • Leverage AI to help automate parsing dirty datasets

Requirements:
  • 5-7 years of professional experience as a Python developer.
  • A love of working with data. Familiarity with cleaning/transforming data.
  • Experience building data solutions and automation tools using Python.
  • Proficient in Linux bash/ksh scripting and Regular Expressions.
  • Interest in cybersecurity.
  • Strong understanding of computer science fundamentals (data structures, algorithms, data processing).
  • Experience with relational and NoSQL databases.
  • Excellent communication skills.
  • Great team player.
  • Self-directed, empathetic, and eager to automate repetitive tasks.
  • Able to switch contexts as business needs change.

Nice to Have:
  • Background or strong interest in cybersecurity.
  • Familiarity with Git version control system.
  • Experience with AWS (Compute, Storage, Database).
  • Experience working with Infrastructure as Code (we use Terraform and Ansible).

Base Salary Range: $111,000 - 144,000
The salary range reflects the expected base compensation for a fully qualified candidate at this level based on experience, qualifications, and market data at the time of posting.
U.S.-Based Benefits + Perks (for Full Time Employees):
At SpyCloud, we are committed to working alongside individuals who are equally passionate about preventing cybercrime, regardless of their department or role. Guided by our core values in all business decisions, we prioritize unity in our mission and ensure all SpyCloud employees have the support and benefits they need to stay focused on our goals. In addition to our engaging workspace in South Austin, flexible and remote-friendly work options, and competitive salary package, we offer our employees a comprehensive benefits package that includes:
  • 401(k) with Employer Contribution
  • Health, Vision, and Dental Insurance
    • Health Savings Account (HSA) available with Employer Contribution
  • Employer Paid Life, Short-term, and Long-term Disability Insurance
  • Generous PTO Plan and 16 paid holidays per year

U.K.-Based Benefits + Perks (for Full Time Employees):
  • Retirement Savings Plan with Employer Contribution
  • Employer Provided Private Health Insurance and Healthcare Cashplan
  • Employer Paid Life Insurance, Income Replacement, and Critical Illness Protection
  • Employee Assistance Program
  • 25 days annual accrued holiday plus 8 paid bank holidays and a paid company shutdown during winter holidays

About SpyCloud:
SpyCloud transforms recaptured darknet data to disrupt cybercrime. Its automated identity threat protection solutions use advanced analytics and AI to accelerate investigations and protect workforce, consumer, and supplier identities from the threats that matter most: authentication bypass, session hijacking, malicious insiders, account takeover, ransomware, and fraud. Its data from malware-infected devices, successful phishes, combolists, and third-party breaches also powers many popular dark web monitoring and identity theft protection offerings. Customers include 7 of the Fortune 10, along with hundreds of global enterprises, mid-sized companies, and government agencies worldwide. Headquartered in Austin, TX, SpyCloud is home to more than 250 cybersecurity experts whose mission is to protect businesses and consumers from the stolen identity data criminals are using to target them now.
To learn more and see insights on your company's exposed data, visit spycloud.com.
Our Mission:
Our mission is to make the internet a safer place by disrupting the criminal underground. Together with our customers and partners, we aim to end criminals' ability to profit from stolen information.
Who We Are:
SpyCloud is a place for innovative, collaborative, and problem-solvers to thrive. Individually, we're amazing, but together, we're unstoppable. We celebrate diversity and various perspectives and aim to create an inclusive and supportive environment for all. We are proud to be an Equal Employment Opportunity and Affirmative Action employer of choice. All aspects of employment decisions will be based on merit, performance, and business needs. We do not discriminate on the basis of any status protected under federal, state, or local law. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Women, minorities, individuals with disabilities, and protected veterans are encouraged to apply. SpyCloud complies with applicable state and local laws governing nondiscrimination in employment. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
SpyCloud expressly prohibits any form of workplace harassment. Improper interference with the ability of SpyCloud's employees to perform their job duties may result in discipline up to and including discharge. SpyCloud shares the right to work and participates in the E-Verify program in all locations.
If you need assistance or accommodation due to a disability, you may contact us.
Our Culture:
Our culture is something really special. We're all driven to disrupt the cybercriminal economy as we keep customer accounts safe from compromise. We support a truly worthy and serious mission, but we have fun doing it together. If you are driven, inventive, and collaborative, you'll fit right in.
SpyCloud's Recruitment Policy:
We will never ask an applicant for sensitive or personal financial information during the recruitment process. We advise all applicants seeking employment with SpyCloud to review available information on recruitment fraud. Anyone who suspects that they have been contacted by someone falsely representing SpyCloud should email careers@spycloud.com.
Compensation Transparency Policy:
At SpyCloud, we believe in transparency and fairness in compensation. We strive to ensure that all employees are fairly compensated for their contributions, and we openly discuss our compensation philosophy and structure. We are committed to providing competitive salaries and benefits packages to attract and retain top talent, and we encourage open dialogue and feedback regarding compensation matters.
Learn more and apply: SpyCloud Careers
SpyCloud is not sponsoring visas at this time.
For applicants residing in California, please click here to read SpyCloud's CCPA Notice.
For applicants residing in the UK, please click here to read SpyCloud's Employee Privacy Notice.