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

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

About the role Teza Technologies is looking for Data Engineers to join our data team. Data drives ... Health, visual and dental insurance * Flexible sick time policy #J-18808-Ljbffr

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced ... Great medical, dental & vision Insurance packages * Competitive 401K with company match to plan for ...

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced ... Great medical, dental & vision Insurance packages * Competitive 401K with company match to plan for ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Job#: 3047926 Data Engineer Location: Austin, Texas (Onsite) Role Overview We are seeking a Data ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

Data Engineer

Austin, TX · Remote

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems team and help build the modern ... insurance, and more. Great People A casual, high-energy environment where authenticity is ...

Data Engineer

Austin, TX · On-site

$112K - $152K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Data Engineer

Austin, TX

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is ... Therefore, we offer a comprehensive benefits package: -Health, Dental, and Vision -Life Insurance ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems teamand help build the modern ... insurance, and more. Great People A casual, high-energy environment where authenticity is ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Role We're looking for a Data Engineer to join our Data Systems team and help build the modern ... insurance, and more. Great People A casual, high-energy environment where authenticity is ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

About This Role We're seeking a talented and driven Data Engineer to help us elevate our data ... Company paid life insurance * Company paid short and long‑term disability * Generous parental ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

About This Role We're seeking a talented and driven Data Engineer to help us elevate our data ... Company paid life insurance * Company paid short and long-term disability * Generous parental paid ...

Data Engineer, Marketplace

Austin, TX · On-site

$113K - $136K/yr

The AWS Marketplace team is looking for a Data Engineer to play a key role in building insights ... Amazon also offers comprehensive benefits including health insurance (medical, dental, vision ...

Lead Data Engineer

Austin, TX · On-site

$101K - $133K/yr

Lead Data Engineer Department: Global Security Services Employment Type: Permanent - Full Time ... We are a leader in automated cyber insurance and will use data more and more as the bedrock of our ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

We're looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable ... Additional benefits: pet insurance, maternity/paternity leave, employee assistance programs ...

Data Engineer

Austin, TX · On-site

$152K - $243K/yr

What you will do: * Contribute to the design and evolution of the data platform, ensuring ... Life Insurance, Paid Time Off, and Wellness Program. Work Hours Varies upon the needs of the ...

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... DevOps concepts and Monitoring Tools * Solid grasp of computer science fundamentals including data ... Health, dental, and vision insurance

Cloud Data Engineer (AWS)

Austin, TX · On-site

$113K - $136K/yr

As part of Daman's Data Engineering team, you will be architecting and delivering highly scalable ... Experience with Insurance Apps on the cloud is nice to have. * Bachelor's Degree or foreign ...

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Showing results 1-20

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:

Data Engineer

Austin, TX • On-site

$113K - $136K/yr

Other

Medical, Dental, Vision

Posted 9 days ago


Job description

About the role

Teza Technologies is looking for Data Engineers to join our data team. Data drives systematic trading and is critical to all aspects of the firm's business.

This is a hands‑on position on a small team of data engineers with growth potential, as this team will grow rapidly over the next couple of years. The firm is looking for outstanding technical skills, strong attention to detail, and experience architecting and building data platforms.

Location

Austin, TX / London, UK (in‑office requirement)

Responsibilities
  • Work directly with Portfolio Managers and Quantitative Developers to translate business requirements into technical solutions; be a resource to explain dataset details and nuances.
  • Expand our data warehouse by designing and adding new sources and functionality; improve robustness, speed and scalability of our systems; manage data entitlements
  • Provide innovative data management, analytics and technology input to the team and management.
  • Evaluate new tools and technologies suitable for organizing, querying and streaming large datasets.
  • Design and build automated systems for data cleansing, anomaly detection, monitoring and alerting.
  • Support our production data warehouse as required.
  • Develop and maintain strong vendor relationships aligned with our business objectives.
Basic Requirements
  • Proficiency in Python and Unix/Linux for data manipulation, scripting, and automation.
  • Strong SQL knowledge and familiarity with NoSQL databases (ideally Postgres and MongoDB), including query optimization and performance tuning.
  • Strong understanding of data modeling principles, including both normalization and denormalization techniques.
  • Familiarity with cloud platforms, e.g. AWS or GCP
  • Experience with Git version control, collaborative workflows (e.g., Github), and understanding of CI/CD best practices.
  • Bachelor’s degree in Computer Science, Information Technology or related field.
Nice to have Requirements
  • Financial industry internships / experience are a plus.
  • Experience with Java recommended.
  • Experience with on‑premises data infrastructure (e.g., Hadoop)
  • Experience with Apache Airflow or similar workflow orchestration tools.
  • An understanding of best practices for data modeling, including data normalization techniques.
  • Master’s degree in Computer Science, Information Technology, Data Science or related field.
Benefits
  • Health, visual and dental insurance
  • Flexible sick time policy
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