Data 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