Snowflake Data Engineer_AI Engineer

Snowflake Data Engineer / AI Engineer

Role Summary

We are looking for a Snowflake Data Engineer / AI Engineer to build and support modern Snowflake data pipelines and AI-enabled solutions. This role is best suited for someone with strong hands-on experience in Snowflake engineering and practical enterprise AI use cases, especially around LLM-enabled workflows and document data extraction.

This is a hybrid role focused on:

• 
  Snowflake AI functions and Snowflake-native AI capabilities
  
• Streams, Tasks, Snowpipe, and pipeline orchestration
  
• Data pipeline design, development, troubleshooting, and operational support
  
• Effective prompt design for LLM-driven workflows
  
• Evaluation of LLM quality and performance
  
• Document extraction from scanned, semi-structured, or business documents

Top Priority Skills

• Strong hands-on experience with Snowflake
  
• Experience with Snowflake AI functions / Snowflake-native AI capabilities
  
• Experience using Streams, Tasks, Snowpipe, and orchestration tools
  
• Strong background in data pipeline design, development, troubleshooting, and support
  
• Experience writing effective prompts for LLM-based solutions
  
• Experience evaluating LLM performance, including output quality, consistency, groundedness, latency, and cost
  
• Experience building or supporting document extraction / intelligent document processing solutions
  
• Strong SQL skills
  
• Experience designing batch and near-real-time data workflows

Key Responsibilities

• Design, build, and maintain scalable data pipelines in Snowflake
  
• Develop and support ingestion and transformation workflows using Snowpipe, Streams, Tasks, and orchestration frameworks
  
• Troubleshoot pipeline performance, failures, latency issues, and data quality problems
  
• Build AI-enabled workflows using Snowflake AI capabilities and LLM-based patterns
  
• Create and refine prompts for extraction, summarization, classification, and retrieval-based use cases
  
• Define and apply methods to evaluate LLM performance in production
  
• Design document processing workflows for extracting structured data from PDFs, scanned files, forms, invoices, or similar business documents
  
• Implement validation, confidence scoring, exception handling, and human review where needed
  
• Partner with stakeholders to deliver reliable, governed, and cost-conscious solutions

Required Experience

• Experience in Snowflake data engineering
  
• Experience with Streams, Tasks, Snowpipe, and related Snowflake pipeline patterns
  
• Experience with pipeline orchestration
  
• Experience troubleshooting slow, unreliable, or failing data pipelines
  
• Experience with LLM prompts and AI workflow design
  
• Experience evaluating LLM or AI solution quality
  
• Experience with document extraction, OCR-supported workflows, or intelligent document processing
  
• Strong SQL and data modeling fundamentals