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

Tyndale

Project Manager, AI and Data Science

Houston, TX · Hybrid

$49.50 - $66.75/hr

Coordinate with Data Scientists, Data Engineers, and ML Engineers building Machine Learning models ... Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave.

Tyndale

Project Manager, AI and Data Science

Houston, TX · On-site

$130K - $150K/yr

Coordinate with Data Scientists, Data Engineers, and ML Engineers building Machine Learning models ... Comprehensive medical, dental, and vision insurance with competitive premiums. Paid parental leave.

Hp

AI Data Scientist

Spring, TX

$130K - $205K/yr

Preferred Certifications Programming Language/s Certification (SQL, Python, or similar) Knowledge ... Health insurance Dental insurance Vision insurance Long term/short term disability insurance ...

SUBMER

Senior AI Data Center Electrical Engineer

Houston, TX · Hybrid

$102K - $133K/yr

We are seeking a Senior AI Data Center Electrical Engineer to lead the electrical power design ... Medical Insurance Plan. * 401k Employee volunteer contribution Plan. * A great work environment ...

SUBMER

Senior AI Data Center Electrical Engineer

Houston, TX · On-site

$102K - $133K/yr

We are seeking a Senior AI Data Center Electrical Engineer to lead the electrical power design ... Medical Insurance Plan. * 401k Employee volunteer contribution Plan. * A great work environment ...

campus4tech

Lead Data Scientist

Houston, TX · On-site

Permanent Full Time Job Mode: 100% Onsite Benefits- DENTAL INSURANCE/ MEDICAL INSURANCE/ VISION ... Bachelor's Degree in science, engineering, computer science, mathematics, statistics, or related ...

Entegra LLP

Data Analyst III

Houston, TX · On-site

Aid Sales, Engineering, Project Management and Operations with the risk assessment of future ILI ... Medical, Dental, and Vision Insurance * Health Savings Account (HSA) * 401(k) & Company match

Entegra LLP

Data Analyst III

Houston, TX

Aid Sales, Engineering, Project Management and Operations with the risk assessment of future ILI ... Medical, Dental, and Vision Insurance * Health Savings Account (HSA) * 401(k) & Company match

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Showing results 41-60

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

Insurance Data Engineer information

See Katy, TX salary details

$40.8K

$119K

$162.9K

How much do insurance data engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for insurance data engineer in Katy, TX is $119,013.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $126,200.00 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.

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.

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 are popular job titles related to Insurance Data Engineer jobs in Katy, TX? For Insurance Data Engineer jobs in Katy, TX, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Katy, TX look for? The top searched job categories for Insurance Data Engineer jobs in Katy, TX are:
What cities near Katy, TX are hiring for Insurance Data Engineer jobs? Cities near Katy, TX with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you

Lead Property & Casualty Data Scientist

American National Insurance Company

Houston, TX • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago

American National Insurance rating

7.4

Company rating: 7.4 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

225th of 303 rated insurance

Job description

Company
Shared Services
Argo and Farm Family are specialty property and casualty insurance brands whose underwriting companies are wholly-owned subsidaries of Clearbrook Holdings Inc. Argo and Farm Family partner with agents and brokers to provide insurance solutions that enable businesses to manage risks with confidence.
Job Description
Employer: Clearbrook Group Services, Inc.
Duties: Own the design and delivery of advanced data science solutions supporting Property & Casualty business objectives. Anticipate business needs and apply advanced statistical modeling, machine learning, and big data techniques to analyze complex datasets and generate actionable insights and competitive advantage. Serve as the primary analytics lead for translating business challenges into effective modeling and technical solutions. Be accountable for leading data science initiatives across the full model lifecycle, including data exploration, model development, validation, implementation, and monitoring. Define and maintain modeling standards, methodologies, and best practices to ensure quality, consistency, scalability, and reuse. Provide technical leadership, mentorship, and direction to data scientists and analysts. Incorporate industry trends, competitor intelligence, and emerging analytics techniques into model development and enhancement. Partner with business, analytics, and technology teams to deliver data driven solutions aligned with organizational goals and strategic priorities.
Education Required: Master or foreign equivalent in Computer Information Systems, Computer Science, Mathematics, Statistics, Data Science, Data Analytics or related field.
Experience Required: 5 years experience as Data Scientist, Senior Analyst, Software Engineer or related occupation.
Special Requirements: Must have at least 1 year of prior work experience in each of the following:
  • Programming languages SQL, Spark, Python, R, and frameworks in the development, articulation, and implementation of coding practices for a team.
  • Working with large datasets using big data technologies and script.
  • Formulating, approaching, analysing, and solving analytical problems using a quantitative, scientific approach.
  • Managing data to scale using data summarization, query and analysis software and tools.
  • Developing and managing projects and leading interdisciplinary teams to accomplish project goals.
  • Analytics and machine learning solution design, deployment, and performance monitoring, including models using time series forecasting, propensity modeling, clustering, similarity algorithms, and behavioral prediction techniques, delivered in an Agile environment.

Worksite: 333 Clay Street, Suite 4490, Three Allen Center, Houston, TX 77002
#IND123
#LI-DNI
PLEASE NOTE:
Applicants must be legally authorized to work in the United States. At this time, we are not able to sponsor or assume sponsorship of employment visas.
If you have a disability under the Americans with Disabilities Act or similar state or local law and you wish to discuss potential reasonable accommodations related to applying for employment with us, please contact our Benefits Department at 210-321-8400.
Benefits and Compensation
We offer a competitive compensation package, performance-based incentives, and a comprehensive benefits program-including health, dental, vision, 401(k) with company match, paid time off, and professional development opportunities.
Core Values
At Clearbrook our Core Values are Integrity, Collaboration, Pursuit of Excellence and Forward Thinking. These values reflect who we are today and who we apsire to be - guiding how we work, how we lead and how we succeed.

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