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Google Cloud Platform + Agentic AI Data Engineer

Value Technology IncPhoenix, AZ🇺🇸United StatesPosted 14 Sept 2026

Why This Role Stands Out

This hybrid role offers an exciting opportunity to build cutting-edge data solutions on Google Cloud Platform, leveraging your expertise in BigQuery, Dataflow, and Python to drive impactful analytics initiatives. You'll thrive here if you're a skilled data engineer passionate about modern data pipelines and eager to contribute to a forward-thinking company. Apply now to advance your career in a dynamic and collaborative environment.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Phoenix, AZ, United States
Posted
Yesterday
SQLAirflowBigQueryData PipelineGoogle CloudLLMPhoenixPython

Job Description

Job Title: Google Cloud Platform + Agentic AI Data Engineer
Location: Phoenix, AZ

Job Summary
Value Technology is hiring a Google Cloud Platform Data Engineer with strong experience in Google Cloud Platform, data engineering, and modern data pipeline development. The ideal candidate will be responsible for designing, developing, and maintaining scalable data solutions using Google Cloud Platform services while supporting enterprise data and analytics initiatives.

Job Description:

  • Senior Google Cloud Platform Data Engineering (Core Stack)
  • 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.
  • 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.

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.

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