Senior Data Engineer (AI + Modern Stack)
Title:
Senior Data Engineer (AI + Modern Stack)
Location:
Remote
Type:
Contract / Full-time
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
Apply tot his job
Apply To this Job
Senior Data Engineer (AI + Modern Stack)
Location:
Remote
Type:
Contract / Full-time
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
Apply tot his job
Apply To this Job