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# Google Cloud Platform Data Engineering

- **Company:** PAR Government Systems Corporation
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, BigQuery, Cloud Computing, Data Flow Control, Python (Programming Language), SQL Databases, Systems Integration, Google Cloud, Large Language Models, Pyspark, Kubernetes, Virtual Agents, Network Server, Data Pipelines
- **Published:** August 22, 2026
- **Apply:** https://www.dice.com/job-detail/eeb8b843-7d93-4249-b308-a01183fb26f6

## About the Role

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.



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