> Markdown version of [/jobs/ext/2074328-data-engineer-google-cloud-platform-agentic-ai](https://www.wearedevelopers.com/jobs/ext/2074328-data-engineer-google-cloud-platform-agentic-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

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# Data Engineer (Google Cloud Platform & Agentic AI)

- **Company:** Epik Solutions
- **Location:** Phoenix, AZ, United States
- **Experience:** Expert
- **Salary:** $114,400.0 - $118,560.0
- **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 15, 2026
- **Apply:** https://www.dice.com/job-detail/4a944168-36cf-4344-80aa-593ca0f2fe50

## 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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