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Insurance Data Engineer Jobs in Texas (NOW HIRING)

PROLIM Global Corporation

Data Engineer

Plano, TX · On-site

$109K - $131K/yr

Contract Experience Required: 8-10 Years Job Summary We are seeking an experienced Data Engineer with strong Insurance domain experience to join our team in Plano, TX. The ideal candidate will have ...

Rysun Labs Inc

Data Engineer

Houston, TX · On-site

$60/hr

Vision insurance Rysun Labs (formerly KCS - Krish Compusoft Services) is an AI, Data & Digital ... Data Engineer Location: Houston Tx Experience: 4-7 Years Mandatory Certification: * Databricks ...

Guidehouse

Data Engineer

Houston, TX

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse

Data Engineer

San Antonio, TX · On-site

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse

Data Engineer

San Antonio, TX · On-site

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse

Data Engineer

Houston, TX · On-site

$89K - $148K/yr

Guidehouse seeks a Data Engineer with some AI experience to support in building, optimizing, and ... Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays

Guidehouse Digital, LLC

Data Engineer

San Antonio, TX · On-site

$53K - $88K/yr

Guidehouse seeks a Data Engineer I to support the development, maintenance, and enhancement of data ... Insurance, Legal Assistance and ID theft protection, etc.)Position may be eligible for a ...

Syndicus, Inc.

Data Engineer

San Antonio, TX · Hybrid

$138K - $185K/yr

Data Engineer Required Qualifications * A current U.S. Government Secret Security Clearance is ... Medical, dental, and vision insurance * Life and disability insurance * 401(k) and financial ...

Xpect Solutions

Data Engineer

Crystal City, TX · Hybrid

$99K - $119K/yr

Data Engineer ID: 1000000058 Location: Crystal City, VA Clearance Level: Obtain Public Trust Level ... Life Insurance * AD&D Insurance * Short Term and Long Term Disability Insurance * 3 weeks of annual ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$110K - $132K/yr

We are seeking a Data Engineer to join our growing Data & Analytics team. This role is responsible ... Low-cost medical, dental, and vision insurance options. * Time Off: Personal leave, flexible ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Low-cost medical, dental, and vision insurance options. * Time Off: Personal leave, flexible ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Low-cost medical, dental, and vision insurance options. * Time Off: Personal leave, flexible ...

Kimley-Horn

Data Engineer

Dallas, TX

$113K - $136K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Low-cost medical, dental, and vision insurance options. * Time Off: Personal leave, flexible ...

Kimley-Horn

Data Engineer

Dallas, TX · On-site

$110K - $132K/yr

Overview We are seeking a Data Engineer to join our growing Data & Analytics team. This role is ... Low-cost medical, dental, and vision insurance options. * Time Off: Personal leave, flexible ...

Jobtailor

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

About the role Teza Technologies is looking for Data Engineers to join our data team. Data drives ... Health, visual and dental insurance * Flexible sick time policy #J-18808-Ljbffr

Northern Base

Data Engineer

Plano, TX · On-site

$80K - $100K/yr

unior Data Engineer Plano, TX | 2 - 4 years of experience Role - Junior Data Engineer Experience ... Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced ... Great medical, dental & vision Insurance packages * Competitive 401K with company match to plan for ...

Cross Screen Media

Data Engineer

Austin, TX · On-site +1

$113K - $136K/yr

We are looking to hire a Data Engineer with a strong work ethic and a passion for the fast-paced ... Great medical, dental & vision Insurance packages * Competitive 401K with company match to plan for ...

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Insurance Data Engineer information

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 Texas?

For Insurance Data Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Texas look for?

The top searched job categories for Insurance Data Engineer jobs in Texas are:

What cities in Texas are hiring for Insurance Data Engineer jobs?

Cities in Texas with the most Insurance Data Engineer job openings:

Insurance Data Engineer jobs near you
Infographic showing various Insurance Data Engineer job openings in Texas as of September 2026, with employment types broken down into 1% As Needed, 71% Full Time, 17% Part Time, 2% Temporary, and 9% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Data Engineer

Plano, TX • On-site

PROLIM Global Corporation
IT Services • 201 - 500 employees
Learn more about PROLIM Global Corporationexternal

$109K - $131K/yr

Full-time

Posted 26 days ago

Job description

PROLIM Global Corporation is hiring a Data Engineer for one of our top clients.
Location: Plano, TX - Onsite
Duration: 6 Months
Job Type: Contract
Experience Required: 8-10 Years
Job Summary
We are seeking an experienced Data Engineer with strong Insurance domain experience to join our team in Plano, TX. The ideal candidate will have extensive hands-on experience in ETL/ELT, Snowflake, Tableau, data pipeline development, data architecture, and data modeling.
The candidate will be responsible for developing and maintaining scalable data pipelines, designing high-performance data architectures, optimizing data platforms, and delivering reliable data solutions for business and analytics needs.
Key Responsibilities
  • Design, develop, debug, and maintain robust and automated data pipelines to ingest data from multiple sources.
  • Build scalable ETL/ELT workflows for extracting, transforming, cleansing, and loading data.
  • Design and maintain large-scale data lakes, data warehouses, and enterprise data architectures.
  • Develop data transformation processes to ensure data quality, consistency, accuracy, and accessibility.
  • Design and implement efficient data models to support reporting, analytics, and business intelligence requirements.
  • Develop and optimize Snowflake databases, data warehouses, tables, views, queries, and data processing workflows.
  • Perform SQL query tuning and performance optimization across databases and cloud data platforms.
  • Monitor data pipelines and troubleshoot failures, performance issues, and data quality problems.
  • Work with SQL/NoSQL databases and cloud infrastructure to improve reliability and performance.
  • Develop and maintain Tableau dashboards and visualizations to support business reporting and analytics.
  • Collaborate with data scientists, analysts, business stakeholders, and other engineering teams to understand data requirements.
  • Implement data validation, reconciliation, and quality checks throughout the data lifecycle.
  • Ensure appropriate data security, privacy, governance, and compliance practices are followed, particularly for sensitive insurance data.
  • Participate in production support, root-cause analysis, troubleshooting, and continuous improvement of data platforms.
  • Document data pipelines, data models, technical processes, and operational procedures.

Required Skills
  • 10+ years of experience in Data Engineering or related data-focused roles.
  • Strong Insurance domain experience is required.
  • Strong hands-on experience with ETL/ELT development and data integration.
  • Strong hands-on experience with Snowflake.
  • Strong hands-on experience with Tableau, including dashboard and data visualization development.
  • Strong knowledge of data warehousing, data lakes, and data architecture.
  • Strong SQL development and query optimization skills.
  • Experience with data transformation, cleansing, validation, and quality processes.
  • Experience designing scalable and high-performance data pipelines.
  • Strong understanding of data modeling and enterprise data warehouse concepts.
  • Experience working with cloud-based data platforms and infrastructure.
  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred / Desirable Skills
  • Python
  • SQL
  • Java and/or Scala
  • Experience with SQL and NoSQL databases.
  • Experience with cloud data platforms.
  • Experience with data governance, security, privacy, and compliance.
  • Experience working with data scientists, analysts, and business stakeholders.

Education
Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field is preferred.

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