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Google Cloud Platform Data Engineering

PAR Government Systems Corporation
United States
14 days ago
Apply on www.dice.com
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Artificial Intelligence Airflow BigQuery Cloud Computing Data Flow Control Python (Programming Language) SQL Databases Systems Integration Google Cloud Large Language Models Pyspark Kubernetes
+3 more
Virtual Agents Network Server Data Pipelines

Requirements

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.

  1. 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.

  2. 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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2:15 min

Empowering domain teams with an open data platform

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

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Leveraging BigQuery ML for scalable SQL-based segmentation experiments

Julian Joseph · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

3:05 min

Audience questions on AI agents and pipeline vectorization

Joy Joy · World Congress 2024

2:48 min

Exploring generative AI learning paths and hands-on labs

Asrar Asrar · World Congress 2024

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World Congress 2026 Europe • about 2 months ago

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LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

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Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow thumbnail
21:22
World Congress 2025 • about 1 year ago

Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow

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World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

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