Data Engineer AI Insights

Overview

Hybrid
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

Data Engineer
Python
Snowflake
Orchestration
MLOps

Job Details

Job Title: Data Engineer AI Insights
Location: Sunnyvale, CA(Hybrid)
Duration: Long term

Job Overview:

We are looking for an experienced Data Engineer with AI Insights to design and deliver robust data solutions that enable AI-driven analytics and decision-making. The role combines strong expertise in Snowflake and Python with hands-on experience in building ETL/ELT pipelines, preparing data for AI/ML workflows, and supporting modern LLM and RAG-based applications.

Key Responsibilities:

Develop and optimize ETL/ELT pipelines using Python, SQL, and Snowflake to ensure high-quality data for analytics, AI, and LLM workflows.
Build and manage Snowflake data models and warehouses, focusing on performance, scalability, and security.
Collaborate with AI/ML teams to prepare datasets for model training, inference, and LLM/RAG-based solutions.
Automate data workflows, validation, and monitoring for reliable AI/ML execution.
Support RAG pipelines and LLM data integration, enabling AI-driven insights and knowledge retrieval.
Partner with business and analytics teams to transform raw data into actionable AI-powered insights.
Contribute to dashboarding and reporting using Tableau, Power BI, or equivalent tools.

Qualifications:

5+ years of Data Engineering experience with exposure to AI/ML workflows.
Advanced expertise in Python programming and SQL.
Hands-on experience with Snowflake (data warehousing, schema design, performance tuning).
Experience building scalable ETL/ELT pipelines and integrating structured/unstructured data.
Familiarity with LLM and RAG workflows, and how data supports these AI applications.
Experience with reporting/visualization tools (Tableau)
Strong problem-solving, communication, and cross-functional collaboration skills.

Preferred Skills:

Experience with MLOps pipelines and ML frameworks (Scikit-learn, TensorFlow, PyTorch).
Knowledge of cloud data platforms (AWS) and orchestration tools (Airflow, dbt).
Exposure to containerization (Docker, Kubernetes) and CI/CD practices.
Ability to partner with business and analytics teams to deliver actionable insights.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

About Third Eye Consulting Services & Solutions LLC.