Data Engineers with CoCo exp/Snowflake Data Engineer
First seen by Alion on Nov 5, 2026.
Agent Data Engineer
Primary Focus: Development, orchestration, and maintenance of the agentic framework that automates the engineering lifecycle.
Secondary Focus: Technical execution and delivery of the Data Engineering lifecycle (Discover, Build, Test, Deploy).
Must Have: Snowflake, Cortex AI, DBT,
Key Responsibilities:
- 8+ Years Experience Senior Data Engineers with CoCo exp
- Develop and refine agentic workflows using the Snowflake CoCo (CoCo) harness.
- Integrate LLMs, Cortex AI models, and orchestration logic to automate discovery, impact analysis, build, and testing stages.
- Build Specification Driven Development (SDD) capabilities, creating machine-readable instructions for data products.
- Collaborate with Data Engineers to convert manual engineering tasks into autonomous agentic patterns.
- Drive technical execution for data product delivery and datasets optimized for enterprise consumption.
- Oversee core engineering layer components, including SQL Stored Procedures, DBT models, and DataOps.Live.
- Maintain code quality and minimize defects while ensuring full alignment with EDO governance standards Contribute to automated engineering lifecycles—covering ingestion through deployment—via platform-agnostic frameworks.
Essential Skills: AI/GenAI Engineering: Deep experience with Cortex Skills, LLM integration, and Retrieval-Augmented Generation (RAG) concepts.
Agentic Frameworks: Proficiency in building and maintaining agentic workflows (e.g., CoCo CLI, Model Context Protocol).
Foundational Knowledge: Solid background in data engineering (SQL, Python) to bridge the gap between AI capabilities and data platform requirements.
Core Engineering Competencies: Advanced technical mastery of SQL, DBT models, and DataOps.Live (DOL) orchestration.
Platform Expertise: Comprehensive proficiency across the Snowflake ecosystem and its integrated service offerings.
Data Product Lifecycle: Strategic command of multi-tier architectures (Bronze, Silver, Gold) and the management of enterprise-grade data products.