Snowflake AI Data Engineer

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

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

• 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.

Required 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, Snow park, 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.

Preferred Qualifications:

• Snowflake certifications (Architect, Data Engineer, AI specialization).
• Experience with Streamlit, Dynamic Tables, Snow pipe, and Native Apps.
• Experience integrating OpenAI, Anthropic, Gemini, or open-source models.
• Knowledge of enterprise security, governance, privacy, and compliance frameworks.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.