Senior Data Engineer (AI + Modern Stack)
Title: Senior Data Engineer (AI + Modern Stack)
Location: Dallas, Texas, United States
Type: Contract / Full-time
USC/GC only.
In-Person Interview.
Rockwoods is specifically looking for candidates with 6β10+ years of hands-on experience building production-grade data pipelines. Profiles with only academic or tool-based exposure will not be considered.
Role Overview
Rockwoods is looking for a strong Data Engineer who has built reliable, production-grade data pipelines and has exposure to AI-driven data use cases.
Key Responsibilities
β’ Build and scale data pipelines and workflows in production
β’ Develop dbt-based transformation layers
β’ Optimize Snowflake performance and cost
β’ Implement API and event-driven ingestion pipelines
β’ Ensure data quality, validation, and reliability
β’ Support AI/ML data workflows and integrations
What Weβre Looking For
β’ 6β10+ years of hands-on data engineering experience
β’ Strong experience with Python, dbt, Snowflake
β’ Proven track record building production-grade pipelines
β’ Experience with Airflow or similar orchestration tools
β’ Solid understanding of data modeling and transformation
β’ Experience working with large-scale data systems
β’ Exposure to AI/ML pipelines is a plus
Why Rockwoods
β’ Strong pipeline of modern data platform work
β’ Direct exposure to real client systems
β’ Opportunity to grow into architecture roles
β’ Execution-focused culture less process, more impact
Location: Dallas, Texas, United States
Type: Contract / Full-time
USC/GC only.
In-Person Interview.
Rockwoods is specifically looking for candidates with 6β10+ years of hands-on experience building production-grade data pipelines. Profiles with only academic or tool-based exposure will not be considered.
Role Overview
Rockwoods is looking for a strong Data Engineer who has built reliable, production-grade data pipelines and has exposure to AI-driven data use cases.
Key Responsibilities
β’ Build and scale data pipelines and workflows in production
β’ Develop dbt-based transformation layers
β’ Optimize Snowflake performance and cost
β’ Implement API and event-driven ingestion pipelines
β’ Ensure data quality, validation, and reliability
β’ Support AI/ML data workflows and integrations
What Weβre Looking For
β’ 6β10+ years of hands-on data engineering experience
β’ Strong experience with Python, dbt, Snowflake
β’ Proven track record building production-grade pipelines
β’ Experience with Airflow or similar orchestration tools
β’ Solid understanding of data modeling and transformation
β’ Experience working with large-scale data systems
β’ Exposure to AI/ML pipelines is a plus
Why Rockwoods
β’ Strong pipeline of modern data platform work
β’ Direct exposure to real client systems
β’ Opportunity to grow into architecture roles
β’ Execution-focused culture less process, more impact