Snowflake AI Data Engineer — Build AI-Driven Data Platforms

Quantum Technologies. LLC; Chicago (IL); On-site; USD 180,000 - 240,000; Full time

Job summary

Quantum Technologies. LLC is seeking an accomplished Data Engineer to design and deploy AI-powered data solutions across Snowflake Cortex AI, CoCO, and related tooling. The role focuses on building scalable data platforms, ELT/ETL pipelines, and real-time integrations, while leading architecture reviews and PoCs.

The ideal candidate has 7+ years of experience, deep Snowflake expertise, and hands-on AI/ML integration skills. Strong SQL/Python and customer-facing design abilities are essential.

Qualifications

• 7+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.
• Deep expertise in Snowflake architecture, security, governance, and performance optimization.
• Hands-on experience with Cortex AI, Coco, CoCO Desktop, Snowpark, and AI/ML integration patterns.
• Experience building LLM, RAG, vector search, and agentic AI solutions.
• Strong SQL and Python skills.
• Experience with Airflow, dbt, Spark, Kafka, and cloud platforms (AWS, Azure, or GCP).
• Strong customer-facing communication and solution architecture skills.

Responsibilities

• Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
• Develop and deploy RAG, agentic workflows, semantic layers, and enterprise AI applications.
• Architect scalable data platforms leveraging Snowflake, Kafka, Spark, Airflow, Dbt, and cloud-native services.
• Build robust ELT/ETL pipelines and real-time integrations.
• Lead workshops, architecture reviews, PoCs, and production deployments.
• Develop reusable accelerators and best practices.

Skills

SQL

Python

Communication

Solution architecture

Tools

Snowflake

Cortex AI

Coco/CoCO Desktop

Snowpark

Airflow

dbt

Spark

Kafka

Job description

Quantum Technologies. LLC is seeking an accomplished Data Engineer to design and deploy AI-powered data solutions across Snowflake Cortex AI, CoCO, and related tooling. The role focuses on building scalable data platforms, ELT/ETL pipelines, and real-time integrations, while leading architecture reviews and PoCs.

The ideal candidate has 7+ years of experience, deep Snowflake expertise, and hands-on AI/ML integration skills. Strong SQL/Python and customer-facing design abilities are essential.