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# AI Data Engineer I, Professional Services, Google Cloud

- **Company:** Google LLC
- **Location:** Austin, TX, United States
- **Experience:** Expert
- **Salary:** $130,000.0 - $187,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Business Analytics Applications, Big Data, Cloud Database, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Python (Programming Language), Machine Learning, Software Engineering, SQL Databases, Virtualization Technology, Data Processing, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Apache Spark, Generative AI, Agentic-AI, Information Technology, Invoking Functions
- **Published:** October 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=734f4005f02bb2cc

## About the Role

* Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
 * 5 years of experience with data processing software (e.g., Spark, Beam) and algorithms.
 * Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams
 * Experience with database administration techniques or data engineering, as well as writing software in Java, Python, or SQL., * Google Cloud Platform (GCP) Professional Data Engineer Certification.
 * Experience building machine learning solutions and working with technical customers.
 * Experience in technical consulting and working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
 * Experience building production LLM/GenAI systems: multi-agent orchestration, agent frameworks (e.g., ADK), tool and function calling, RAG, and prompt/context development.
 * Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.

## Description

* Act as a trusted technical advisor to customers and solve complex Big Data and AI challenges.
 * Create and deliver best practice recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders.
 * Analyze on-premises and cloud database environments and consult on the optimal design for performance and deployment on Google Cloud Platform.
 * Travel regularly up to 30% of the time, in-region for meetings, technical reviews, and onsite delivery activities.
 * Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities.