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Insurance Data Engineer Jobs in Kyle, TX (NOW HIRING)

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Medical, Dental, and Vision Insurance. * 401(k) with Employer Match. * Paid Time Off (PTO) and ...

VetsEZ

Data Engineer (Remote Opportunity)

Austin, TX · On-site +1

$113K - $136K/yr

We are currently looking for a Data Engineer for a 100% remote position on a large federal ... Medical, Dental, and Vision Insurance. * 401(k) with Employer Match. * Paid Time Off (PTO) and ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Self Financial

Staff Data Engineer

Austin, TX · On-site

$160K - $195K/yr

As our Staff Data Engineer, you will be responsible for organizing plans that drive outcomes and ... Generous employer-paid health, vision and dental insurance coverage * Flexible vacation policy

General Motors

Senior Data Engineer

Austin, TX · On-site

$125K - $168K/yr

The Role We are looking for a hands-on Senior Data Engineer to help build the data products that ... benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee ...

General Motors

Senior Data Engineer

Austin, TX

$125K - $168K/yr

The Role We are looking for a hands-on Senior Data Engineer to help build the data products that ... benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee ...

General Motors

Senior Data Engineer

Austin, TX

$133K - $188K/yr

Build and operationalize ML workflows for data preparation, feature engineering, model training ... benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee ...

General Motors

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

Build and operationalize ML workflows for data preparation, feature engineering, model training ... benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee ...

Infosys

GCP Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Insurance (Accident, Critical Illness , Hospital Indemnity, Legal) * 401(k) plan and contributions ... Experience in architecture, design and data presentation skills. Preferred Skill and Experience ...

BakerHostetler

Data Solutions Engineer

Austin, TX

$113K - $136K/yr

Join our team as a Data Solutions Engineer, where you will play a key role in designing and ... Life Insurance * Voluntary Accident Insurance - Self and Family * Short and Long-Term Disability

Allen Control Systems

Platform Engineer, Data

Austin, TX · On-site

$113K - $136K/yr

Position Overview: We are seeking a Data Platform Engineer who combines expert-level data ... Health, Dental, Vision Insurance * Paid Time Off Allen Control Systems is an Equal Opportunity ...

Allen Control Systems

Platform Engineer, Data

Austin, TX

$113K - $136K/yr

Position Overview: We are seeking a Data Platform Engineer who combines expert-level data ... Health, Dental, Vision Insurance * Paid Time Off Allen Control Systems is an Equal Opportunity ...

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Showing results 21-40

All JobsInsurance Data Engineer JobsInsurance Data Engineer Jobs in Kyle, TX

Insurance Data Engineer information

See Kyle, TX salary details

$42.7K

$124.5K

$170.3K

How much do insurance data engineer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for insurance data engineer in Kyle, TX is $124,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $131,900.00 per year, depending on experience, location, and employer.

What is an insurance data engineer?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an insurance data engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

How does an insurance data engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

What are popular job titles related to Insurance Data Engineer jobs in Kyle, TX?

For Insurance Data Engineer jobs in Kyle, TX, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Kyle, TX look for?

The top searched job categories for Insurance Data Engineer jobs in Kyle, TX are:

What cities near Kyle, TX are hiring for Insurance Data Engineer jobs?

Cities near Kyle, TX with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you

Data Engineer (Remote Opportunity)

Austin, TX • On-site, Remote

VetsEZ
IT Services • 51 - 200 employees
Learn more about VetsEZexternal

$113K - $136K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 28 days ago

Job description

We are currently looking for a Data Engineer for a 100% remote position on a large federal government project. This role focuses on designing, developing, and maintaining scalable data solutions that support healthcare operations, analytics, reporting, and data-driven decision-making.

The engineer will work within a collaborative environment to build and optimize data pipelines, integrate data from multiple sources, and support cloud-based data platforms. The ideal candidate is a hands-on data professional with experience developing ETL/ELT processes, managing large-scale datasets, and implementing secure, reliable data solutions that support mission-critical healthcare systems.

The candidate must reside within the continental US.

Responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes.
  • Build and optimize data solutions within Azure cloud environments, including Azure Synapse and Azure Data Factory.
  • Integrate data from multiple sources through APIs and other system integration methods.
  • Develop and support data analytics and reporting solutions using Power BI.
  • Ensure data quality, integrity, security, and performance across data platforms.
  • Collaborate with stakeholders to gather requirements and deliver data-driven solutions supporting healthcare and VA initiatives.
  • Manage and track development activities using Agile methodologies and tools such as Jira.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.

    Requirements

    • Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field.
    • 4+ years of experience designing, developing, and supporting data engineering solutions in enterprise data and analytics environments.
    • Experience developing data solutions using Python, Spark, SQL, ETL processes, and data warehousing technologies.
    • Experience with GitHub, data integration, and data analytics solutions.
    • Experience supporting data analytics initiatives within enterprise IT environments.
    • Experience supporting Federal government programs and consulting engagements.
    • Proficiency with Microsoft Word, Excel, PowerPoint, and Visio.
    • Strong organizational, analytical, and stakeholder management skills, with the ability to manage multiple priorities in a fast-paced environment.

      Additional Qualifications

      • Experience supporting healthcare organizations, federal agencies, or Veterans Affairs (VA) programs.
      • Familiarity with VA platforms and technologies, including CX Insights, Lighthouse APIs, Medallia, or similar veteran-facing systems.
      • Experience integrating enterprise applications and data sources through APIs and other system integration methods.
      • Knowledge of Azure cloud-native services and modern data platform architectures.
      • Experience using Jira or similar Agile project management and collaboration tools.

      Security Clearance Requirements

      • U.S. Citizenship is required.
      • Must be eligible to obtain and maintain a Government clearance.
      Benefits:
      • Medical, Dental, and Vision Insurance.
      • 401(k) with Employer Match.
      • Paid Time Off (PTO) and Federal Holidays.
      • Corporate Laptop.
      • Professional Development and Training Opportunities.
      • 100% Remote Opportunity.

      Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

      VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

      Sorry, we are unable to offer sponsorship at this time.

      Employment Type: FULL_TIME

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