AI Data Engineer: Snowflake Cortex & LLMs Expert

Quantum Technologies LLC; Chicago (IL); On-site; USD 99,000 - 135,000; Full time

Job summary

Quantum Technologies. LLC seeks an experienced AI Data Engineer to design, deploy, and optimize AI-powered data platforms in Chicago. You will work with Snowflake Cortex AI, CoCO, CoCO Desktop, and modern data tooling to build scalable ELT/ETL, RAG, and agentic AI workflows.

You will lead architecture reviews, PoCs, and production deployments, ensuring robust data governance, security, and high-performance analytics across cloud platforms (AWS/Azure/GCP).

Qualifications

• 5+ 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 Snowflake 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 programming skills.

Responsibilities

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

Skills

SQL

Python

Data engineering

Tools

Snowflake Cortex AI

CoCO

CoCO Desktop

Snowpark

Airflow

dbt

Spark

Kafka

Cloud platforms (AWS/Azure/GCP)

Job description

Quantum Technologies. LLC seeks an experienced AI Data Engineer to design, deploy, and optimize AI-powered data platforms in Chicago. You will work with Snowflake Cortex AI, CoCO, CoCO Desktop, and modern data tooling to build scalable ELT/ETL, RAG, and agentic AI workflows.

You will lead architecture reviews, PoCs, and production deployments, ensuring robust data governance, security, and high-performance analytics across cloud platforms (AWS/Azure/GCP).