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Insurance Data Engineer Jobs in Spring, 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 · On-site

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) ...

Berkley

Junior 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

Junior 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 ...

The Friedkin Group

Full Stack AI Engineer

Houston, TX · On-site

Our comprehensive benefits package includes medical, dental, and vision insurance, wellness ... This role sits at the intersection of data engineering, software engineering, AI engineering, and ...

New

The Friedkin Group

Full Stack AI Engineer

Houston, TX · On-site

Our comprehensive benefits package includes medical, dental, and vision insurance, wellness ... This role sits at the intersection of data engineering, software engineering, AI engineering, and ...

New

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 ...

Berkley

Junior 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 ...

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.

Munich RE

Data Scientist, AI

Houston, TX · On-site

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 ...

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Showing results 1-20

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 Jul 12, 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.

How much do insurance engineers make?

Insurance data engineers typically earn a median salary ranging from $80,000 to $120,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in data pipelines, cloud platforms, and programming languages like Python or SQL can command higher salaries. Compensation may also include benefits such as bonuses and professional development opportunities.

What engineers make $500,000?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $500,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership roles. High compensation is often associated with seniority, complex data systems, and working in competitive markets or large organizations.

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 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.

Is AI replacing data engineers?

AI is transforming the role of data engineers by automating routine tasks such as data cleaning and integration, but it does not replace the need for skilled professionals to design, manage, and oversee data infrastructure. Data engineers are essential for building scalable data pipelines, ensuring data quality, and implementing AI solutions effectively. Their expertise remains critical in managing complex data environments and integrating AI tools into business processes.

What engineers make 300,000 a year?

Senior data engineers, including those working in specialized fields like insurance data engineering, can earn $300,000 or more annually, especially with extensive experience, advanced skills in SQL, Python, cloud platforms, and certifications. High-level roles often involve leadership, complex data architecture, and strategic decision-making, typically in large organizations or with specialized expertise.
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

Data Analyst

Insolation Technology Ltd

Houston, TX • On-site, Remote

$21 - $26/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

We are seeking a motivated and detail-oriented Data Analyst to join our team at Insolation Technology LTD,
an established engineering consulting firm. The Data Analyst will be
responsible for collecting, processing, and analyzing data to support
project decisions, improve operational efficiency, and provide insights
that drive strategic planning. The ideal candidate will have a strong
analytical background, proficiency in data analysis tools, and excellent
communication skills.

Note: This position is strictly open to candidates within the United States.

Key Responsibilities:

  • Data Collection and Management: Gather, clean, and maintain datasets from various sources, ensuring data integrity and accuracy.
  • Data Analysis:
    Analyze large datasets to identify trends, patterns, and insights that
    support project management, operational efficiency, and strategic
    initiatives.
  • Reporting and Visualization:
    Create comprehensive reports and dashboards using data visualization
    tools (e.g., Tableau, Power BI) to present findings to stakeholders.
  • Collaboration:
    Work closely with engineering teams, project managers, and other
    departments to understand their data needs and provide actionable
    insights.
  • Performance Metrics: Develop and track key performance indicators (KPIs) to measure project performance and operational efficiency.
  • Statistical Modeling: Apply statistical methods and predictive modeling techniques to analyze data and forecast future trends.
  • Continuous Improvement:
    Identify opportunities for process improvements and optimization based
    on data analysis and provide recommendations to management.
  • Documentation: Maintain detailed documentation of data sources, methodologies, and analytical processes for future reference.

Qualifications:

  • Bachelors degree in Data Science, Statistics, Mathematics, Engineering, or a related field.
  • Proven experience as a Data Analyst, preferably in an engineering consulting or similar environment.
  • Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages.
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar).
  • Strong analytical and problem-solving skills, with a keen attention to detail.
  • Excellent
    communication skills, both verbal and written, with the ability to
    present complex information clearly to non-technical stakeholders.
  • Familiarity with engineering concepts or terminology is a plus.

Preferred Qualifications:

  • Experience with statistical analysis and modeling techniques.
  • Knowledge of machine learning algorithms and data mining techniques.
  • Familiarity with project management methodologies and tools.
  • Experience working in a team-oriented, collaborative environment.

Benefits:

  • Competitive salary and performance-based bonuses
  • Comprehensive health, dental, and vision insurance
  • Retirement savings plan with company match
  • Professional development opportunities
  • Flexible work schedule and remote work options

Job Type:

  • Full time

Pay:

  • $21.00 - $26.00 per hour

Expected hours:

  • 40 hours per week

Benefits:

  • 401(k)
  • Dental insurance
  • Health Insurance
  • Life Insurance
  • Paid time off

Schedule:

  • Monday to Friday

Work location:

  • Remote

Insolation Technology LTD is an equal opportunity employer.
We celebrate diversity and are committed to creating an inclusive
environment for all employees.

Apply