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

Berkley

Data Scientist

Houston, TX · On-site

Build foundational understanding of relevant insurance and energy domain concepts. * Data Discovery, Exploration & Engineering * Conduct Exploratory Data Analysis to assess data quality, structure ...

Berkley

Data Scientist

Houston, TX · On-site

Build foundational understanding of relevant insurance and energy domain concepts. * Data Discovery, Exploration & Engineering * Conduct Exploratory Data Analysis to assess data quality, structure ...

Berkley

Data Scientist

Houston, TX · On-site

Build foundational understanding of relevant insurance and energy domain concepts. * Data Discovery, Exploration & Engineering * Conduct Exploratory Data Analysis to assess data quality, structure ...

Apex Systems

Microsoft Fabric Data Architect

Houston, TX · Hybrid

$61 - $78.25/hr

Design centralized semantic data models to eliminate redundant work by downstream developers and ... other insurance plans that offer an optional layer of financial protection. We offer an ESPP ...

SynergenX

Principal Data Architect

Houston, TX · On-site

$160K/yr

Lead and mentor Data Engineers, BI Developers, and Analytics teams * Review and approve pipelines ... Full life insurance policy at no cost * Stability and growth within a rapidly expanding, multi ...

COLEXAS DIGITAL INC

Be Seen First

Sales Engineer (Data Centers, Automation, and SCADA)

Houston, TX · Remote

Job Title: Sales Engineer - Data Center, Automation, & SCADA Job Summary As a Sales Engineer ... Comprehensive medical, dental, and vision insurance. * 401k with company match. * Professional ...

COLEXAS DIGITAL INC

Be Seen First

Sales Engineer (Data Centers, Automation, and SCADA)

Houston, TX · Remote

Job Title: Sales Engineer - Data Center, Automation, & SCADA Job Summary As a Sales Engineer ... Comprehensive medical, dental, and vision insurance. * 401k with company match. * Professional ...

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 · On-site

$130.70K - $205.20K/yr

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

HP Development Company, L.P.

AI Data Scientist

Spring, TX · On-site

$130.70K - $205.20K/yr

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

Collabera LLC

Power BI Developer

Houston, TX

$40 - $45/hr

... medical insurance, dental insurance, vision insurance, 401(k) retirement plan, life insurance ... The ideal candidate is a Power BI expert with strong proficiency in DAX, data modeling, Power Query ...

Stratus Team LLC

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 ...

Praxair

Sr. Data Scientist

The Woodlands, TX

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) ...

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

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 May 29, 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 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 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.

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 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:
Insurance Data Engineer jobs near you

Cyber Security Engineer

Object Technology Solutions, Inc.

Katy, TX

Other

Posted 23 days ago

Job description

Object Technology Solutions, Inc (OTSI) has an immediate opening for Cyber Security Engineer

Cyber Security Engineer (Katy, TX- Onsite)

MAJOR RESPONSIBILITIES

  • The Cybersecurity Engineer plays an integral role in defining and assessing the organization''''s security strategy, operations and practices. The Cybersecurity Engineer will assume responsibilities for multiple security functions.  The Cybersecurity Engineer will be required to effectively translate business objectives and risk management strategies into specific security processes enabled by security technologies and services.  The Cybersecurity Engineer will be required to develop, execute and track the performance of security measures to protect information, network infrastructure and computer systems.  The Cybersecurity Engineer will lead and mentor staff and ensure they are following Cybersecurity best practices and industry standards.

REQUIRED QUALIFICATION 

  • Bachelor’s degree in computer science, Information Systems, Cyber Security, OR seven plus years’ experience in the role.
  • A minimum of 7 years or more experience in a security related field with direct responsibility to manage security one or more of the following:
  • Direct, hands-on experience deploying & managing security infrastructure such as firewalls, IPSs, WAFs, endpoint protection (DLP & EDR), SIEM, and vulnerability management tools on premise and cloud
  • Documented experience and a strong working knowledge of the methodologies required to conduct threat-modeling exercises on new technologies and services
  • Working knowledge of cybersecurity training and operations
  • Working knowledge of OT cybersecurity
  • Knowledge the secure deployment of workloads into public cloud services (e.g., AWS or Microsoft Azure)
  • General Data Protection Regulation (GDPR)
  • Privacy Principles (best practices)
  • International Organization for Standardization (ISO) 27001/2
  • National Institute of Standards and Technology (NIST) 
  • Cybersecurity Framework (CSF)
  • IT Service Management (ITIL)

About us

OTSI is a global technology partner providing enterprise IT consulting, digital solutions, and managed services. We help organizations modernise complex technology landscapes, harness the power of data, and build scalable AI-led ecosystems to accelerate innovation and business growth. With over 26 years of experience, we consistently turn complex challenges into success stories through our strong technical capabilities and deep industry knowledge. Our global team of 1,800+ professionals, spread across 6 countries, delivers cutting-edge solutions for customers across Banking, Financial Services, Insurance, Transportation & Logistics, Energy & Utilities, Healthcare & Life Sciences, Government, Hi-Tech, Telecom & Media, Manufacturing, and more.

Our focused technologies are:

• Data & Analytics (Traditional EDW, BI, Big data, Data Engineering, Data Management, Data Modernization, Data Insights)

• Digital Transformation (Cloud Computing, Mobility, Micro Services, RPA, DevOps)

• QA & Automation (Manual Testing, Non-functional testing, Test Automation, Digital Testing)

• Enterprise Applications (SAP, Java Full stack, Microsoft, Custom Development)

• Disruptive Technologies (Edge Computing/IOT, Block Chain, AR/VR, Biometric)

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