Snowflake Data Engineer - Cortex AI

Talent Groups; Las Vegas (NV); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Talent Groups in Las Vegas is seeking a hands-on Data Engineer to design, build, and operationalize AI-powered data solutions on Snowflake. This role blends customer engagement, solution architecture, data engineering, and AI implementation with a strong focus on Snowflake Cortex AI, CoCO, CoCO Desktop, and modern enterprise data platforms.

You will design and deploy AI-powered data solutions, develop LLM and RAG capabilities, and architect scalable data platforms using Snowflake, Kafka, Spark,

Qualifications

• Minimum 10 years in Data Engineering or related fields.
• Expertise in Snowflake architecture, security, governance, and performance.
• Hands-on with Cortex AI, CoCO, CoCO Desktop, Snowpark, and AI/ML integration patterns.

Responsibilities

• Design and implement AI-powered data solutions using Snowflake Cortex AI, CoCO, and CoCO Desktop.
• Develop LLM, RAG, vector search, and agentic AI solutions.
• Architect scalable data platforms using Snowflake, Kafka, Spark, Airflow, dbt, and cloud services.
• Build ELT/ETL pipelines and real-time integrations.
• Lead architecture reviews, PoCs, and production deployments.
• Develop accelerators and best practices.

Skills

SQL

Python

Data engineering

Solution architecture

Customer-facing

Tools

Snowflake Cortex AI

CoCO

CoCO Desktop

Snowflake

Airflow

dbt

Kafka

Spark

Job description

Location: Las Vegas, NV (3 Days onsite/week)

Exp: 12-15 years.

Job Summary

We're seeking a hands-on Engineer who can help design, build, and operationalize AI-powered data solutions on Snowflake. This role combines customer engagement, solution architecture, data engineering, and AI implementation, with a strong focus on Snowflake Cortex AI, CoCO, CoCO Desktop, and modern enterprise data platforms.

Key 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.

Required Qualifications

• 10+ 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.

Preferred Qualifications

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