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

AI Data Scientist

Spring, TX · On-site

$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 ...

Data Center Market Director

Houston, TX · On-site

$200K - $225K/yr

About Stratus Stratus ® is an integrated, multi-disciplinary engineering, architecture, interior ... Company-paid Life Insurance, Short-Term Disability, and Long-Term Disability * Voluntary Life ...

You will work closely with software engineers and regional reliability teams as well as experts in ... Enjoy access to health, dental, disability, and life insurance, paid holidays and vacation, 401(k) ...

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 ...

Collaborate with data engineering to build embedding pipelines, feature stores, and vector indexing ... Experience in insurance, claims, healthcare, or other regulated industries preferred. * Ability to ...

Possess strong programming skills in Python and/or R, with proficiency in SQL and working knowledge ... Enjoy access to health, dental, disability, and life insurance, paid holidays and vacation, 401(k) ...

MLOps Automation Senior Lead Engineer

Houston, TX · On-site +1

$99K - $130K/yr

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... In addition, Huntington provides a variety of benefits to colleagues, including health insurance ...

MLOps Automation Senior Lead Engineer

Houston, TX · On-site +1

$97K - $127K/yr

Streamline the data, analytics, and model development lifecycle by identifying pain points and ... insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO)

Coordinate with architects, structural engineers, MEP engineers, civil engineers, and other ... Subsidized health, dental, and vision insurance * Equity (options) in a rapidly growing startup ...

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Insurance Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do insurance data engineer jobs pay per year?

As of Jun 22, 2026, the average yearly pay for insurance data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What health insurance covers Wegovy?

As an Insurance Data Engineer, understanding insurance coverage is essential. Coverage for Wegovy, a prescription weight management medication, varies by insurance plan and provider. Many health insurance plans, including some employer-sponsored plans and Medicare, may cover Wegovy if prescribed for approved indications, but prior authorization is often required.

What is the best cheapest insurance?

As an Insurance Data Engineer, evaluating the cheapest insurance involves analyzing data from multiple providers to identify affordable options that meet coverage needs. Comparing quotes, understanding policy details, and using data analysis tools can help find cost-effective insurance plans. However, the cheapest option may not always offer the best coverage, so balancing cost and coverage is essential.

What are Insurance Data Engineers?

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.

Does health insurance cover a pacemaker?

As an Insurance Data Engineer, you should know that health insurance typically covers pacemaker implantation and related procedures if deemed medically necessary, though coverage details vary by plan. Patients usually need prior authorization, and coverage may include device costs, surgery, and follow-up care. It is important to review specific policy terms and provider networks for accurate coverage information.

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.

Who does the cheapest insurance?

Insurance Data Engineers analyze data to help insurance companies identify cost-effective policies and pricing strategies. The cheapest insurance options typically depend on factors like coverage needs, customer profile, and provider discounts, rather than a specific role. Consumers should compare quotes from multiple providers to find the most affordable coverage.

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

AI Data Scientist

Hp

Spring, TX • On-site

$130K - $205K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 7 days ago


HP rating

7.7

Company rating: 7.7 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

60th of 139 rated electronics manufacturers


Job description

AI Data Scientist

Description -

About the Position
The HP Enterprise AI & Machine Learning organization is a centralized team of data scientists and machine learning engineers building GenAI-based tools and digital products that enable increased productivity for 50,000+ employees and improve the effectiveness of hundreds of critical business processes. We collaborate closely with business stakeholders across HP to scope, prototype, and develop models and products in the cloud and on the edge. We also serve as HP's AI Center of Excellence, providing consulting assistance, reuseable components and frameworks, and training to other teams across the company.

As a Data Scientist focused on Generative AI, you will work across multiple HP projects involving large language and multi-model models and other cutting-edge Generative AI capabilities for deployment on the cloud or edge. In addition to working with our core technical team, you'll collaborate with business stakeholders and across various units to develop and deploy solutions at scale. Your primary focus and mindset will be on delivering real business value to our internal customers. Please note, this is not a research role.


Responsibilities

Delivers Generative AI-based models of high complexity to surface insights; drives action, defines success measures and tracks performance of models.

Develops monitoring metrics to reflect real-world model performance and makes recommendations to shape the future direction of models and digital solutions.
Strategizes models to uncover patterns and predictions creating business value and innovation.
Manages relationships with business partners to evaluate and foster data driven innovation, provides domain-specific expertise in cross-organization projects/initiatives.
Ties insights into effective visualizations communicating business value and innovation potential.
Works with development teams and business units to ensure models are scalable and can be implemented as part of the delivered solution.
Leads project team(s) of data science professionals, assuring insights are communicated regularly and effectively, reviewing designs, models and data compliance.
Represents the data science team for all phases of larger and more-complex development projects.
Provides guidance, training and mentoring to less experienced staff members.
Education & Experience Recommended

  • PhD related to AI or a Master's degree in computer science or a related field and 5+ years of experience with GenAI and related technologies including machine learning. data analytics, and statistical modeling.


Preferred Certifications
Programming Language/s Certification (SQL, Python, or similar)
Knowledge & Skills

  • Strong foundation in data science and core machine learning concepts.

  • Experience with large language models, multi-modal modals, prompt engineering, vector databases, Retrieval-Augmented Generation (RAG), and search engines.

  • Solid technical background. Experience working on software development teams, especially in cloud-based business applications, is a strong plus.

  • Familiarity with tools such as Azure Machine Learning, Azure Prompt Flow, Python, LangChain, Streamlit, and Docker.

  • Experience working in distributed, diverse teams, with bonus points for time spent in small fast-paced start-ups.

  • Comfortable representing the team in meetings with multiple stakeholders and driving discussions clearly and respectfully. Mastery of English is required.

  • Able to explain technical concepts (e.g., LLMs) to non-technical audiences.

  • You suggest pragmatic solutions that are as simple as possible-even if that means no AI is required.


The base pay range for this role is $130,700 to $205,200 annually with additional opportunities for pay in the form of bonus and/or equity (applies to US 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)

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 -

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'sEEO Policy or read about your rights as an applicant under the law here: "Know Your Rights: Workplace Discrimination is Illegal"


What HP employees say

Pay

Benefits

Hours and flexibility

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Get the full story on Breakroom


HP logo

About HP

Sourced by ZipRecruiter

HP is a technology company that operates in more than 170 countries around the world united in creating technology that makes life better for everyone, everywhere. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line. Our history: HP's commitment to diversity, equity and inclusion - it's just who we are. From the boardroom to factory floor, we create a culture where everyone is respected and where people can be themselves, while being a part of something bigger than themselves. We celebrate the notion that you can belong at HP and bring your authentic self to work each and every day. When you do that, you're more innovative and that helps grow our bottom line.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Palo Alto, CA, US

Year founded

1939