Data Engineer (Insurance Domain)

Location: Plano TX (Onsite)
Experience: 10 Years

We are seeking an experienced Data Engineer with a strong Insurance domain background to design build and optimize scalable data pipelines and enterprise data platforms. The ideal candidate will have expertise in ETL/ELT Snowflake Tableau SQL Python and modern cloud-based data architectures. This role will partner with business analytics and data science teams to deliver high-quality secure and reliable data solutions that support insurance operations and reporting.

• ETL / ELT Development
• Data Pipeline Development
• Data Integration
• Data Transformation
• Data Cleansing
• Data Validation
• Data Quality Management
• Workflow Automation

• Snowflake
• Data Warehouse
• Data Lake
• Data Modeling
• Data Architecture
• Data Migration
• Data Governance

• SQL
• Python
• Java (Preferred)
• Scala (Preferred)

• Tableau
• Data Visualization
• Dashboard Development
• BI Reporting
• Reporting Automation

• SQL Databases
• NoSQL Databases
• Query Optimization
• Performance Tuning

• Cloud Data Platforms
• CI/CD Pipelines
• Version Control (Git)
• Automation

• Property & Casualty (P&C) Insurance
• Life Insurance
• Claims Processing
• Policy Administration
• Underwriting
• Insurance Data Models
• Regulatory Reporting

• Analytical Thinking
• Problem Solving
• Stakeholder Collaboration
• Communication Skills
• Team Collaboration
• Attention to Detail

• Design develop and maintain scalable ETL/ELT pipelines for ingesting data from multiple enterprise sources
• Build and optimize Snowflake-based data warehouses and modern data architectures
• Design and maintain data models that support reporting analytics and business intelligence initiatives
• Develop robust data transformation and cleansing processes to ensure data quality and consistency
• Monitor and optimize database performance query execution and cloud infrastructure
• Build Tableau dashboards and reporting solutions to provide actionable business insights
• Collaborate with data scientists business analysts and stakeholders to understand and deliver data requirements
• Ensure data governance security privacy and compliance across enterprise data platforms
• Troubleshoot production issues and continuously improve data pipeline performance and reliability
• Document technical solutions data flows and architecture while following enterprise development standards

• Experience in the Insurance domain (Property & Casualty Life Insurance or Commercial Insurance)
• Hands-on experience with Snowflake optimization and performance tuning
• Experience with cloud-based data platforms (AWS Azure or GCP)
• Familiarity with Agile development methodologies
• Experience working with large-scale enterprise data platforms