Senior Data Engineer with AI
Role summary
Rockwoods is seeking a Senior Data Engineer with AI expertise to architect large-scale data environments for LLM integrations and production-grade AI models. The role involves designing and scaling data pipelines optimized for AI workflows, including data ingestion for LLM fine-tuning and RAG patterns. Responsibilities include integrating AI APIs, leading data preparation and feature engineering for AI model training, deploying and supporting AI solutions in production, and optimizing Snowflake performance. The ideal candidate will have 6-10+ years of experience with Python, dbt, and Snowflake, a proven track record in integrating LLM/AI APIs, and experience deploying AI solutions in production with monitoring and scaling capabilities.
Title:
Senior Data Engineer with AI
Location:
Dallas, Texas, United States
Type:
Contract / Full-time
USC/GC only.
Job Summary
Rockwoods is seeking a
Senior Data Engineer with AI
with a specialized focus on the intersection of
Data Infrastructure and AI
. The ideal candidate doesn't just build pipelines; they build the backbone for intelligent systems. You will be responsible for architecting large-scale data environments that fuel
LLM integrations
and
production-grade AI models
.
Key Responsibilities
- Design, build, and scale
production-grade data pipelines
specifically optimized for
AI workflows
, including data ingestion for
LLM fine-tuning
and
RAG (Retrieval-Augmented Generation)
patterns.
- Seamlessly integrate
AI APIs (OpenAI, Hugging Face, Anthropic)
into existing data transformation and downstream usage layers for real-world projects.
- Lead the cleaning, transformation, and
feature engineering
of large-scale datasets to ensure they are structured specifically for
high-performance AI model training
and inference.
- Deploy and support
AI solutions in production environments
, managing the end-to-end lifecycle including
monitoring, scaling, and resolving real data issues
.
- Develop and maintain
dbt-based transformation layers
and optimize
Snowflake performance
for both analytical and
AI-driven workloads
.
- Implement robust
API and event-driven ingestion pipelines
with a focus on
data quality, validation, and reliability
across the entire
AI data lifecycle
.
What We’re Looking For
- 6–10+ years of hands-on data engineering experience
with deep expertise in
Python, dbt, and Snowflake
.
- Proven track record of
integrating LLM/AI APIs
into complex data pipelines for data ingestion, transformation, or downstream usage.
- Demonstrated ability to
deploy and support AI solutions in production
, including active
monitoring and scaling
of models and data flows.
- Advanced experience in
preparing and structuring large-scale data
(cleaning, transformation, and feature engineering) specifically for
AI model usage
.
- Strong mastery of
Airflow or similar orchestration tools
to manage complex
AI data workflows
.
- Solid understanding of
data modeling
and a proven track record of building
production-grade pipelines
that handle real-world data issues.
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
