Snowflake AI Engineer

Austin, TX, US • Posted 2 hours ago • Updated 2 hours ago
Full Time
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Snowflake AI
  • AI/ML
  • Generative Artificial Intelligence (AI)
  • Data Modeling
  • Artificial Intelligence
  • Snow Flake Schema

Summary

Job Title: Snowflake AI Engineer
Location: Austin (Hybrid)
Job Type: Long-Term Contract

Job Summary

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.

Key Responsibilities

  • 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.

Required Qualifications

  • 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: DAMAN
  • Position Id: 8979362
  • Posted 2 hours ago
Contact the job poster
Balaji Mohanarangan

Balaji Mohanarangan

IT Recruiter @ Daman Consulting
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