Snowflake QA

Remote • Posted 10 hours ago • Updated 10 hours ago
Contract Independent
Contract W2
3 Months
No Travel Required
Remote
$50 - $60/hr
Fitment

Dice Job Match Score™

⏳ Almost there, hang tight...

Job Details

Skills

  • Snowflake
  • Cortex
  • AI
  • SQL
  • Cortex AI
  • QA

Summary

Role: Snowflake QA Lead
Location: 100% Remote
Duration: 3-4 months for the pilot project then could be extended

Role Overview

  • We are seeking a highly skilled Snowflake QA Lead with strong experience in Snowflake Cortex AI, data validation, and testing of AI-driven document processing pipelines. The ideal candidate will lead QA efforts around unstructured document ingestion, metadata extraction, Natural Language search validation, and Snowflake-based data workflows.
  • This role requires deep expertise in Snowflake Cortex, strong SQL skills, and the ability to design and execute complex test cases for AI/ML-driven data processing systems.

Key Responsibilities

  • Design, document, and execute detailed QA test cases for Snowflake Cortex AI solutions
  • Validate Natural Language (NL) search capabilities and AI-driven search results
  • Test document ingestion and metadata extraction workflows from S3 buckets into Snowflake
  • Validate handling of unstructured/imaged complaint documents
  • Perform end-to-end testing of data pipelines, ingestion processes, tagging, and metadata storage
  • Ensure data quality, accuracy, and consistency across Snowflake environments
  • Collaborate with data engineering and AI teams to troubleshoot and resolve issues
  • Track defects, follow up on test execution, and support production validation activities
  • Work closely with teams adopting Cortex AI technologies in a rapidly evolving environment

Required Skills

  • Strong experience with Snowflake Cortex AI
  • Experience testing Natural Language Search (NL Search) solutions
  • Experience validating document scanning / unstructured document ingestion workflows
  • Strong SQL skills for data validation and analysis
  • Experience with S3 bucket integrations and metadata extraction workflows
  • QA/Test Lead experience in data engineering or AI-driven platforms
  • Experience validating pipeline ingestion, tagging, and metadata processing

Preferred Skills

  • AI/ML testing experience
  • Snowflake data engineering exposure
  • Experience with OCR/document intelligence platforms
  • Automation testing exposure for data pipelines

Regards

Tim Patten

tim (at) pullskill (dot) com

551-272-o2o3

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: 90922281
  • Position Id: 8974061
  • Posted 10 hours ago
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