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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:

Munich Re

Data Scientist

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 ...

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) ...

Visual Comfort & Co.

AI Engineer III

Houston, TX · On-site

$124 - $132/hr

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) ...

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Showing results 41-60

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 Aug 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 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.

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 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

Program Analytics & Data Visualization Specialist I

Guidehouse

Houston, TX • Remote

$70K - $116K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 12 days ago

Guidehouse rating

8.0

Company rating: 8.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 72 rated business consultants

Job description

Job Family:

Data Science & Analysis


Travel Required:

Up to 10%


Clearance Required:

Ability to Obtain Public Trust

What You Will Do:

  • Design, develop, and maintain interactive dashboards, reports, and visual analytics solutions using Microsoft Power BI.

  • Gather and translate business, operational, programmatic, and stakeholder requirements into actionable analytics and reporting products.

  • Develop and optimize Power BI data models, semantic models, DAX measures, calculated columns, and performance-tuned reporting solutions.

  • Design and implement data transformation workflows using Power Query (M) and related extract, transform, and load (ETL/ELT) processes.

  • Conduct statistical, trend, and quantitative analyses to support program evaluation, operational decision-making, performance measurement, and reporting requirements.

  • Perform geospatial analysis and geographic visualization using Power BI mapping capabilities, GIS tools, and spatial datasets.

  • Analyze, profile, validate, and monitor data quality to ensure reporting accuracy, consistency, and reliability.

  • Collaborate with program leaders, technical teams, data stewards, and client stakeholders to define metrics, KPIs, reporting standards, and analytical approaches.

  • Support public health, healthcare, government, or mission-focused analytics initiatives through data-driven insights and visualization.

  • Leverage emerging artificial intelligence and machine learning capabilities to enhance analytics workflows, reporting efficiency, data discovery, and decision support.

  • Develop technical documentation, data dictionaries, dashboard user guides, and reporting methodologies.

  • Present findings, recommendations, and analytical insights to technical and non-technical audiences.


What You Will Need:

  • US Citizen or permanent resident; must have ability to obtain and maintain a Public Trust clearance.

  • Bachelor's degree.

  • THREE (3) or more years of experience in business intelligence, analytics, reporting, data visualization, public health informatics, healthcare analytics, or a related field.

  • Experience developing dashboards and reporting solutions using Microsoft Power BI.

  • Experience with:

    • Power BI Desktop

    • Power BI Service

    • DAX

    • Power Query (M)

    • Data modeling and semantic models

    • Report and dashboard development

    • Data visualization best practices

  • Experience performing data analysis using SQL and/or statistical analysis tools.

  • Experience working with structured and semi-structured datasets from multiple data sources.


What Would Be Nice To Have:

  • Master's degree in Public Health, Health Informatics, Data Science, Analytics, Statistics, Computer Science, Information Systems, Geography/GIS, or a related field.

  • Knowledge of data governance, data quality, metadata management, and reporting standards.

  • Experience eliciting business requirements and collaborating with stakeholders.

  • Strong written, verbal, and presentation communication skills.

  • Ability to work independently and within cross-functional teams.

  • Experience supporting federal health, public health, healthcare, or government programs.

  • Experience with public health informatics standards, data exchange, surveillance, epidemiology, or population health analytics.

  • Experience with GIS and geospatial analytics tools such as ArcGIS, ArcGIS Online, or QGIS.

  • Experience with Python, R, SAS, SPSS, or other analytical/statistical programming tools.

  • Experience with cloud-based data and analytics platforms including: Databricks, Snowflake, Palantir Foundry, Azure Data Factory, Azure Synapse Analytics, Microsoft Fabric

  • Familiarity or experience with Power Platform technologies including: Power Apps, Power Automate, Power Pages, Power Virtual Agents

  • Familiarity with data integration, API connectivity, and enterprise data architectures.

  • Knowledge of responsible AI, AI governance, AI literacy, or AI implementation practices.

  • Microsoft certifications such as: Power BI Data Analyst Associate, Fabric Analytics Engineer Associate, Azure Data Engineer Associate

  • Experience supporting Agile project delivery environments.

The annual salary range for this position is $70,000.00-$116,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.


What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

  • Medical, Rx, Dental & Vision Insurance

  • Personal and Family Sick Time & Company Paid Holidays

  • Parental Leave

  • 401(k) Retirement Plan

  • Group Term Life and Travel Assistance

  • Voluntary Life and AD&D Insurance

  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts

  • Transit and Parking Commuter Benefits

  • Short-Term & Long-Term Disability

  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities

  • Employee Referral Program

  • Corporate Sponsored Events & Community Outreach

  • Care.com annual membership

  • Employee Assistance Program

  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

  • Position may be eligible for a discretionary variable incentive bonus

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.

If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at RecruitingAccommodation@guidehouse.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation.

All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or guidehouse@myworkday.com. Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process.

If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse's Ethics Hotline. If you want to check the validity of correspondence you have received, please contact recruiting@guidehouse.com. Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant's dealings with unauthorized third parties.

Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee.

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