Senior Data Engineer (AI + Modern Stack)

Qualifications

• Rockwoods is specifically looking for candidates with 6–10+ years of hands-on experience building production-grade data pipelines

• 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

• Strong pipeline of modern data platform work

• Opportunity to grow into architecture roles

• 6 more items(s)

Benefits

• Execution-focused culture less process, more impact

Responsibilities

• 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

• 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

• Direct exposure to real client systems

• 5 more items(s)

More job highlights

Job description

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 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

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