Snowflake AI Engineer

Daman Consulting
Austin, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Austin, United States of America

Tech stack

Artificial Intelligence
Airflow
Amazon Web Services (AWS)
Business Analytics Applications
Azure
Cloud Computing
Cloud Database
Information Systems
Data Architecture
Information Engineering
ETL
Data Security
Data Systems
Data Warehousing
Python
Machine Learning
Performance Tuning
Cloud Services
TensorFlow
SQL Databases
Systems Integration
Workflow Management Systems
Enterprise Data Management
Scripting (Bash/Python/Go/Ruby)
Google Cloud Platform
Data Ingestion
Snowflake
Generative AI
Semi-structured Data
Information Technology
Machine Learning Operations
REST
Data Pipelines

Job description

We are seeking a highly skilled Snowflake AI Engineer to support a State client in designing, developing, and optimizing modern AI and data solutions on the Snowflake platform. The ideal candidate will have expertise in Snowflake, AI/ML integration, cloud data engineering, and scalable data architecture. This role involves building intelligent data pipelines, enabling AI-driven analytics, and supporting enterprise data modernization initiatives., * Design and develop scalable data solutions using Snowflake.

  • Build and optimize ETL/ELT pipelines for structured and semi-structured data.
  • Integrate AI/ML models and GenAI capabilities with Snowflake environments.
  • Develop data ingestion frameworks using Snowpipe, Streams, and Tasks.
  • Collaborate with data scientists, architects, and business stakeholders to deliver AI-enabled analytics solutions.
  • Optimize Snowflake performance, security, governance, and cost management.
  • Implement data orchestration and automation workflows.
  • Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.
  • Support deployment, monitoring, and troubleshooting of AI/data engineering solutions.
  • Ensure compliance with State data security and governance standards.

Requirements

  • Bachelor s degree in Computer Science, Information Systems, or related field.
  • 5+ years of experience in Data Engineering or Cloud Data Platforms.
  • Strong hands-on experience with Snowflake development and administration.
  • Experience integrating AI/ML or Generative AI solutions with enterprise data platforms.
  • Proficiency in SQL, Python, and scripting languages.
  • Experience with cloud technologies (AWS/Azure/Google Cloud Platform).
  • Knowledge of data modeling, performance tuning, and data warehousing concepts.
  • Experience with orchestration tools such as Airflow, ADF, or similar.
  • Familiarity with REST APIs and AI/ML frameworks is preferred.
  • Strong analytical, communication, and problem-solving skills.

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