Rockwoods Inc
Senior Data Engineer (AI + Modern Stack)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer (AI + Modern Stack) in Dallas, Texas, offering a contract lasting over 6 months at an unspecified pay rate. Requires 6–10+ years of experience in data engineering, with expertise in Python, dbt, and Snowflake.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 21, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Dallas, TX
-
🧠 - Skills detailed
#Data Quality #dbt (data build tool) #Data Modeling #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #AI (Artificial Intelligence) #Airflow #API (Application Programming Interface) #Data Pipeline #Snowflake #Python #Data Engineering
Role description
Title: Senior Data Engineer (AI + Modern Stack)
Location: Dallas, Texas, United States
Type: Contract / Full-time
In-Person Interview.
Rockwoods is specifically looking for candidates with 6–10+ 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
• Build and scale data pipelines and workflows in production
• Develop dbt-based transformation layers
• Optimize Snowflake performance and cost
• Implement API and event-driven ingestion pipelines
• Ensure data quality, validation, and reliability
• Support AI/ML data workflows and integrations
What We’re Looking For
• 6–10+ years of hands-on data engineering experience
• Strong experience with Python, dbt, Snowflake
• Proven track record building production-grade pipelines
• Experience with Airflow or similar orchestration tools
• Solid understanding of data modeling and transformation
• Experience working with large-scale data systems
• Exposure to AI/ML pipelines is a plus
Why Rockwoods
• Strong pipeline of modern data platform work
• Direct exposure to real client systems
• Opportunity to grow into architecture roles
• Execution-focused culture less process, more impact
Title: Senior Data Engineer (AI + Modern Stack)
Location: Dallas, Texas, United States
Type: Contract / Full-time
In-Person Interview.
Rockwoods is specifically looking for candidates with 6–10+ 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
• Build and scale data pipelines and workflows in production
• Develop dbt-based transformation layers
• Optimize Snowflake performance and cost
• Implement API and event-driven ingestion pipelines
• Ensure data quality, validation, and reliability
• Support AI/ML data workflows and integrations
What We’re Looking For
• 6–10+ years of hands-on data engineering experience
• Strong experience with Python, dbt, Snowflake
• Proven track record building production-grade pipelines
• Experience with Airflow or similar orchestration tools
• Solid understanding of data modeling and transformation
• Experience working with large-scale data systems
• Exposure to AI/ML pipelines is a plus
Why Rockwoods
• Strong pipeline of modern data platform work
• Direct exposure to real client systems
• Opportunity to grow into architecture roles
• Execution-focused culture less process, more impact
