AI Data Engineer

Tasks

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

Requirements

• 7+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.
• Strong expertise in Snowflake architecture, security, governance, and performance optimization.
• Hands-on experience with Snowflake Cortex AI, CoCO, CoCO Desktop, and Snowpark.
• Experience building LLM, RAG, Vector Search, and Agentic AI solutions.
• Strong SQL and Python skills.
• Experience with Airflow, dbt, Spark, Kafka, and AWS/Azure/GCP.
• Strong customer-facing communication and solution architecture skills.
• Preferred: Snowflake certifications (Architect, Data Engineer, or AI specialization).
• Preferred: Experience with Streamlit, Dynamic Tables, Snowpipe, and Native Apps.
• Preferred: Experience integrating OpenAI, Anthropic, Gemini, or open-source models.
• Preferred: Knowledge of enterprise security, governance, privacy, and compliance frameworks.

Schedule

• Onsite (5 Days a Week)

How to apply

• Share your updated resume.

Location

• Las Vegas, NV