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AI Data Engineer

KnackHook, LLCLas Vegas, NV🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationLas Vegas, NV, United States
SQLAWSETLSnowflakeAirflowGoogle CloudKafkaLLMPythondbtGenerative AIAzureStreamlitRAG

Job description

AI Data Engineer
Las Vegas, NV Onsite
12+ Months Contract.
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About the Role:
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 Google Cloud Platform).
  • 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.
Ideal Candidate
  • A highly technical, customer-focused engineer who can engage executives, architect solutions, and build production-grade AI and data platforms hands-on.

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