Snowflake AI Engineer - Build Enterprise AI Data Platforms

Ethereum Technologies; Las Vegas (NV); On-site; USD 120,000 - 190,000; Full time

Job summary

Ethereum Technologies seeks a hands-on Engineer to design, build, and operationalize AI-powered data solutions on Snowflake. You will engage with customers, architect data platforms, and implement AI workflows using Snowflake Cortex AI, CoCO, and related tools.

The role combines data engineering, solution architecture, and production deployments, with emphasis on scalable ELT/ETL pipelines and real-time integrations. Strong SQL/Python and cloud experience are essential.

Qualifications

• 5+ years of data engineering or analytics experience.
• Deep Snowflake architecture, security, governance, and performance skills.
• Hands-on Cortex AI, CoCO, CoCO Desktop experience.
• Experience with LLM, RAG, vector search, and agentic AI.
• Strong SQL and Python abilities.
• Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS/Azure/Google).
• Excellent customer-facing and solution-architecting skills.

Responsibilities

• Design and build AI-powered data solutions on Snowflake.
• Develop RAG, agentic workflows, semantic layers, AI apps.
• Architect scalable data platforms using Snowflake, Kafka, Spark, Airflow, dbt.
• Build robust ELT/ETL pipelines and real-time integrations.
• Lead workshops, architecture reviews, PoCs, and deployments.
• Develop accelerators and best practices.

Skills

SQL

Python

Data engineering

Snowflake

Airflow

Kafka

Spark

LLM/RAG experience

Solution architecture

Cloud platforms

Tools

Snowflake Cortex AI

CoCO

CoCO Desktop

Snowpark

OpenAI integration

dbt

Job description

Ethereum Technologies seeks a hands-on Engineer to design, build, and operationalize AI-powered data solutions on Snowflake. You will engage with customers, architect data platforms, and implement AI workflows using Snowflake Cortex AI, CoCO, and related tools.

The role combines data engineering, solution architecture, and production deployments, with emphasis on scalable ELT/ETL pipelines and real-time integrations. Strong SQL/Python and cloud experience are essential.