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Insurance Data Processing Jobs in Houston, TX (NOW HIRING)

Rysun Labs Inc

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 ...

Stephens, Inc.

P&C Insurance Analyst

Houston, TX · On-site

$19 - $26/hr

... data analysis, and renewal processes for commercial insurance accounts. The analyst ensures ... accuracy and timeliness in documentation, supports the marketing process for renewals and new ...

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 ...

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 ...

CYNET SYSTEMS

Data Specialist

Houston, TX · On-site

$22 - $24/hr

Load digital data and perform quality review of data integrity for further data processing ... Medical, Dental, and Vision Insurance * 401(k) Retirement Plan * Health Savings Account (HSA)

BakerHostetler

Data Solutions Engineer

Houston, TX · On-site

$109K - $131K/yr

RESPONSIBILITIES: • Develop and implement data processing workflows and pipelines to support ... Life Insurance * Voluntary Accident Insurance - Self and Family * Short and Long-Term Disability

circa

Data Engineer II

Houston, TX

$109K - $131K/yr

Insurance: Company-provided life insurance and short-term disability coverage. * Retirement: 401(k) ... Develop and optimize distributed data processing workflows using PySpark and modern data ...

Visual Comfort & Co.

Data Engineer II

Houston, TX · On-site

$91K - $96K/yr

Insurance: Company-provided life insurance and short-term disability coverage. * Retirement: 401(k) ... Develop and optimize distributed data processing workflows using PySpark and modern data ...

MD Anderson

Senior Data Scientist

Houston, TX · On-site +1

... D, and disability insurance. Accruals for PTO and Extended Illness Bank, plus paid holidays ... data processing techniques Advance the frontiers of cancer data science through development and ...

MD Anderson

Senior Data Scientist

Houston, TX · Hybrid

... and disability insurance. • Accruals for PTO and Extended Illness Bank, plus paid holidays ... processing techniques • Advance the frontiers of cancer data science through development and ...

MD Anderson

Senior Data Scientist

Houston, TX · Hybrid

$123K/yr

... and disability insurance. • Accruals for PTO and Extended Illness Bank, plus paid holidays ... processing techniques • Advance the frontiers of cancer data science through development and ...

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All JobsInsurance Data Processing JobsInsurance Data Processing Jobs in Houston, TX

Insurance Data Processing information

See Houston, TX salary details

$11

$19

$33

How much do insurance data processing jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for insurance data processing in Houston, TX is $19.35, according to ZipRecruiter salary data. Most workers in this role earn between $15.38 and $21.35 per hour, depending on experience, location, and employer.

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?

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 Houston, TX? For Insurance Data Processing jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Insurance Data Processing jobs in Houston, TX look for? The top searched job categories for Insurance Data Processing jobs in Houston, TX are:
What cities near Houston, TX are hiring for Insurance Data Processing jobs? Cities near Houston, TX with the most Insurance Data Processing job openings:
Insurance Data Processing jobs near you
Infographic showing various Insurance Data Processing job openings in Houston, TX as of July 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, and 5% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $40,255 per year, or $19.4 per hour.

Data Engineer

Rysun Labs Inc

Houston, TX • On-site

$60/hr

Full-time

Medical, Dental, Vision, PTO

Re-posted 28 days ago

Job description

Benefits:
  • Dental insurance
  • Health insurance
  • Paid time off
  • Training & development
  • Vision insurance

Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor).
We are seeking a skilled and motivated Data Engineer to design, build, and maintain scalable data pipelines and data platforms that support business intelligence, analytics, and data-driven decision-making. The ideal candidate will have strong experience in data engineering, cloud technologies, ETL/ELT development, and data warehousing, along with a passion for delivering high-quality data solutions.
 
Job Title: Data Engineer
Location: Houston Tx
 Experience: 4–7 Years
Mandatory Certification: 
  • Databricks Certified Data Engineer Associate OR
  • Databricks Certified Data Engineer Professional
Key Responsibilities
  •  Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.
  •  Build and optimize data integration workflows from multiple data sources.
  •  Develop and manage data warehouses, data lakes, and cloud-based data platforms.
  • Collaborate with Data Analysts, Data Scientists, Product Managers, and business stakeholders to understand data requirements.
  • Ensure data quality, integrity, governance, and security across enterprise systems.
  •  Optimize SQL queries, database performance, and data processing workflows.
  • Monitor and troubleshoot data pipeline issues and implement performance improvements.
  • Support reporting, analytics, and machine learning initiatives by providing reliable datasets.
  • Implement data validation, monitoring, and automation processes.
  • Participate in Agile development processes and technical design discussions.
 Required Skills & Experience
  •  4–7 years of experience in Data Engineering or related roles.
  • Strong expertise in SQL and database design concepts.
  • Hands-on experience with ETL/ELT tools and data integration frameworks.
  • Experience with cloud platforms such as AWS, Azure, or GCP.
  • Strong knowledge of Data Warehousing, Data Modeling, and Data Lake architectures.
  •  Proficiency in Python, PySpark, or Scala for data processing.
  • Experience with Big Data technologies such as Spark, Databricks, Hadoop, or Kafka.
  • Knowledge of CI/CD, version control (Git), and automation best practices.
  • Strong analytical, problem-solving, and communication skills.
Preferred Qualifications
  • Experience with Databricks, Snowflake, Redshift, Synapse, or BigQuery.
  • Familiarity with data governance, metadata management, and data quality frameworks.
  • Exposure to real-time data processing and streaming technologies.
  • Experience working in Agile/Scrum environments.