AI Data Engineer - Cortex AI - Remote

Overview

As an AI Data Engineer, you will design and build modern data pipelines and AI-ready data platforms with Snowflake as the core warehouse, leveraging Snowflake Cortex AI, AWS Bedrock, and other mainstream AI services.

In Short

• Design, build, and maintain scalable data pipelines using Snowflake as the central data platform
• Develop AI-ready data models and feature layers to support analytics, ML, and GenAI use cases
• Leverage Snowflake Cortex AI for embedding, classification, summarization, and AI-assisted analytics
• Integrate and operationalize AI workflows using AWS Bedrock and related AWS services
• Build and optimize ELT pipelines using tools such as dbt, SQL, and Python
• Ensure data quality, observability, and governance across pipelines and AI workloads
• Collaborate with AI engineers, data scientists, and business teams to translate use cases into scalable data solutions
• Document data models, pipelines, and AI-related design decisions clearly for long-term maintainability

Requirements

• 4+ years of experience in data engineering, with strong hands-on Snowflake experience
• Practical experience building AI-enabled data solutions or preparing data for ML/LLM workloads
• Strong proficiency in SQL and Python for data transformation and pipeline development
• Experience with Snowflake Cortex AI or similar warehouse-native AI capabilities
• Hands-on experience with AWS, ideally including AWS Bedrock, Lambda, S3, and IAM
• Experience with ELT tooling such as dbt, Airflow, or similar orchestration frameworks
• Solid understanding of data modeling, data warehousing, and performance optimization
• Strong communication skills and ability to collaborate across technical and business teams

Benefits

• Opportunity to work on AI-first data platforms using Snowflake Cortex and AWS Bedrock
• High-impact role at the intersection of data engineering and applied AI
• Exposure to private equity-backed enterprise transformation programs
• Global, collaborative team with strong technical standards
• Flexible, remote-first working environment with autonomy and ownership