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# Sr. AI Data Engineer (Cloud)

- **Company:** PETERSON TECHNOLOGY PARTNERS, INC.
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $145,600.0 - $166,400.0
- **Contract:** Contract
- **Skills:** Microsoft Windows, Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, ARM Architecture, Mobile Application Development, Cloud Computing, Continuous Integration, Customer Data Management, Information Engineering, Amazon DynamoDB, Github, Information Extraction, Python (Programming Language), Performance Tuning, Role-Based Access Control, Regression Testing, Software Engineering, SQL Stored Procedures, SQL Databases, Data Ingestion, Large Language Models, Snowflake, State Machines, Cloudformation, Build Management, Drift Detection, Terraform, Human in the Loop, Jenkins
- **Published:** October 28, 2026
- **Apply:** https://www.dice.com/job-detail/60abc17c-e464-4755-8a0d-c6e933abdd97

## About the Role

* 8+ years of experience, including 5+ years in data engineering and 2+ years of hands-on GenAI application development
 * Advanced Snowflake: SQL, Tasks/Streams, stored procedures, performance tuning
 * Snowflake Cortex AI or equivalent production LLM platform
 * Snowflake Native App Framework / Snowpark
 * AWS: S3, Lambda, Glue, Step Functions, DynamoDB, EC2, CloudFormation, Kinesis
 * Production-grade Python
 * CI/CD (GitHub Actions/Jenkins) and IaC (Terraform/CloudFormation)
 * ML/LLM observability (Arize or comparable), evaluation design, and drift monitoring, * Hospitality, customer profile, or personalization domain experience
 * Human-in-the-loop and taxonomy-driven classification
 * Customer data privacy and compliance
 * Snowflake governance (RBAC, masking, row access policies)
 * Prompt regression testing, Snowpark Container Services, Windows task automation scripting
 * AWS and/or Snowflake certifications

## Description

Our client is seeking a Sr AI Data Engineer to join its Data Engineering team, building ingestion and transformation pipelines and GenAI-enabled workflows on Snowflake and AWS, and packaging them as Snowflake Native Apps., * Design and build scalable data ingestion and transformation pipelines in Snowflake and AWS

 * Develop GenAI-enabled workflows using Snowflake Cortex AI or an equivalent production LLM platform, including structured extraction from free text at scale
 * Package solutions as Snowflake Native Apps using the Native App Framework and Snowpark
 * Implement ML/LLM observability, evaluation design, and drift monitoring
 * Define and track data quality and model quality KPIs
 * Build CI/CD and infrastructure-as-code for pipeline deployment
 * Support production rollout, documentation, and handoff to operations teams