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

Insolation Technology Ltd

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Work closely with engineering teams, project managers, and other departments to understand their ... Health Insurance * Life Insurance * Paid time off Schedule: * Monday to Friday Work location:

Visual Comfort & Co.

AI Engineer III

Houston, TX · On-site

$124K - $132K/yr

Reporting directly to the Vice President Enterprise Data Platform within the IT department, the AI ... Insurance: Company-provided life insurance and short-term disability coverage. * Retirement: 401(k) ...

circa

AI Engineer III

Houston, TX

Reporting directly to the Vice President Enterprise Data Platform within the IT department, the AI ... Insurance: Company-provided life insurance and short-term disability coverage. * Retirement: 401(k) ...

Munich Re

Data Scientist, AI

Houston, TX · On-site +1

American Modern Insurance Group, Inc., a Munich Re company, is a widely recognized specialty ... Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ...

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.

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Showing results 41-60

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

Insurance Data Engineer information

See Houston, TX salary details

$42.5K

$123.9K

$169.5K

How much do insurance data engineer jobs pay per year?

As of Aug 7, 2026, the average yearly pay for insurance data engineer in Houston, TX is $123,876.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $131,300.00 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 Houston, TX? For Insurance Data Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Insurance Data Engineer jobs in Houston, TX look for? The top searched job categories for Insurance Data Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Insurance Data Engineer jobs? Cities near Houston, TX with the most Insurance Data Engineer job openings:
Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution, with an average salary of $123,876 per year, or $59.6 per hour.

Principal Data Architect - AI-Ready Data & Agentic Solutions

HP Development Company, L.P.

Spring, TX • On-site

$147K - $230K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 5 days ago

Job description

Principal Data Architect - AI-Ready Data & Agentic Solutions
Description -
We're looking for a Principal Data Architect who has spent their career deep in data and analytics, and is now hands-on with the latest AI technology stacks - someone who can architect AI-ready data for agentic workflows, not just talk about it. This is an individual contributor role on the technical career path, but at this level, that means leading from the front: owning technical direction across workstreams, driving deliverables with cross-functional teams, and bringing clarity to ambiguous, high-stakes architectural problems. You'll interact regularly with technical teams, business partners, and executives across HP's business units, working on the next phase of agentic AI for the enterprise alongside our frontier technology partners. This isn't an advisory or PowerPoint role - you'll be building, not just designing.
What You'll Do
  • Architect AI-ready data foundations, including the semantic and context layers that make enterprise data usable by LLMs and agentic workflows.
  • Lead technical workstreams end-to-end - setting direction, aligning teams, and owning clearly defined deliverables.
  • Partner directly with frontier AI vendors and internal stakeholders to prototype, validate, and scale new architectural patterns.
  • Shape enterprise data strategy and platform architecture, spanning data warehousing, modeling, and governance.
  • Build hands-on solutions using LLMs - not just evaluate or recommend them.
  • Engage confidently with business and executive stakeholders across HP's business units, translating complex architecture into business context and vice versa.

What You'll Bring
  • 10+ years designing and delivering enterprise data warehousing solutions, with deep expertise in data modeling, data engineering and enterprise data architecture - Data & Analytics should be the throughline of your career, not a chapter in it.
  • Proven track record defining data strategy and platform architecture within a large, complex enterprise.
  • Broad enterprise knowledge spanning multiple business domains (Supply Chain, Finance, Sales, Customer, etc.) and data subjects - you understand data beyond the technical layer and can connect architecture to business outcomes.
  • 3+ years of hands-on experience with modern AI architecture, including building real, production-grade solutions using LLMs and applied AI solution design - pilots and proof-of-concepts alone don't meet this bar.
  • Hands-on experience with Databricks and Microsoft Fabric is strongly preferred; familiarity with the broader Azure and AWS data ecosystem is expected.
  • Comfort working across multiple technologies and platforms, with a clear, demonstrable habit of continuously learning as the landscape shifts.
  • Strong communication and influencing skills - equally effective shaping strategy with senior leadership and rolling up your sleeves on the architecture itself.

About the Team
The Enterprise Data & Analytics (EDA) organization is HP's central team for corporate data - covering Data Architecture, Data Strategy, Data Engineering, Data Platforms and Analytics for initiatives that span the entire company. As a Principal Architect on this team, you'll work directly with technical and business teams across HP's business units, and have a real seat at the table in shaping HP's data and AI strategy.
Why This Role
You'll be working on problems that don't have established playbooks yet, alongside some of the top technology companies in the world who HP has partnered with at the frontier of AI. If you've spent your career in data and you're ready to apply that depth to where enterprise AI is actually heading, this is the role.
Pay & Benefits
The pay range for this role is $147,050 to $230,850 USD annually with additional
opportunities for pay in the form of bonus and/or equity (applies to United
States of America candidates only). Pay varies by work location, job-related
knowledge, skills, and experience.
Benefits:
HP offers a comprehensive benefits package for this position, including:
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Long term/short term disability insurance
  • Employee assistance program
  • Flexible spending account
  • Life insurance
  • Generous time off policies, including;
  • 4-12 weeks fully paid parental leave based on tenure
  • 11 paid holidays
  • Additional flexible paid vacation and sick leave
  • US benefits overview https://hpbenefits.ce.alight.com/

The compensation and benefits information is accurate as of the date of this
posting. The Company reserves the right to modify this information at any time,
with or without notice, subject to applicable law.
Job -
Data & Information Technology
Schedule -
Full time
Shift -
No shift premium (United States of America)
Travel -
Relocation -
Yes
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP's EEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"

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