Senior Google Cloud Platform Data Engineering (Core Stack)

Senior Google Cloud Platform Data Engineering (Core Stack) Phoenix, AZ Contract

Must-Have Services: Strong hands-on experience with BigQuery, Cloud Dataflow (PySpark/Beam), Cloud Composer (Airflow), and Google Cloud Platform Pub/Sub.

Engineering Skills: Expert-level Python, MCP Server Development, and CI/CD data pipelines.
2.

Agentic AI & LLM Orchestration
Frameworks & Ecosystem: Practical experience with Vertex AI, Gemini models, and agentic orchestration frameworks (e.g., Google ADK).

Protocols & Integrations: Direct exposure or strong capability in implementing Model Context Protocol (MCP) tools/servers and Agent-to-Agent (A2A) communication patterns.

Workflow Automation: Proven ability to design agents for task decomposition, tool execution, dynamic SQL generation, and automated pipeline monitoring.
3. Role Expectations
Candidates should be able to design autonomous, self-healing data workflows, build custom MCP interfaces for BigQuery/Vertex, and define enterprise agent architecture.