Remote Senior Data Engineer | AI + Snowflake Cortex

VeeRteq Solutions Inc.; Irving (TX); Remote; USD 140,000 - 210,000; Full time

Job summary

VeeRteq Solutions Inc. is seeking a senior Data Engineer / AI to design scalable Snowflake data models and pipelines, delivering bronze, silver, and gold data layers with reusable semantic assets for trusted analytics and natural-language data access.

You will collaborate across product, analytics, and engineering to translate complex requirements into governed data products and semantic models while optimizing performance, reliability, and cost.

Qualifications

• Healthcare/payer domain experience with member, claims data
• Expert Snowflake SQL with complex transforms and analytics
• Experience building bronze/silver/gold data layers
• Define business metrics and semantic views
• Snowflake Cortex analytics experience preferred
• Data quality, profiling and validation expertise
• Strong communication and cross-functional ownership

Responsibilities

• Design scalable Snowflake data models and pipelines
• Build bronze, silver and gold data layers and semantic assets
• Collaborate with product, analytics and engineering partners
• Optimize queries and configurations for cost and performance
• Implement data quality validation and testing
• Document data lineage and architectural decisions
• Use dbt to develop modular transformations and tests
• Support Cortex-enabled analytics and agent workflows
• Troubleshoot production issues and deliver durable solutions
• Maintain governance and semantic definitions

Skills

Healthcare domain

Communication

Ownership

Cross-functional

Problem solving

Tools

Snowflake SQL

Snowflake Data Eng

Semantic Modeling

Snowflake Cortex

dbt

Python

Job description

VeeRteq Solutions Inc. is seeking a senior Data Engineer / AI to design scalable Snowflake data models and pipelines, delivering bronze, silver, and gold data layers with reusable semantic assets for trusted analytics and natural-language data access.

You will collaborate across product, analytics, and engineering to translate complex requirements into governed data products and semantic models while optimizing performance, reliability, and cost.