AI Data Engineer , Professional Services, Google Cloud

Share AI Data Engineer I, Professional Services, Google Cloud

Google place Austin, TX, USA ;
Atlanta, GA, USA ; +2 more

Application window will be open until at least November 3, 2026. This opportunity will remain online based on business needs which may be before or after the specified date.

Note:

By applying to this position you will have an opportunity to share your preferred working location from the following:
Austin, TX, USA;
Atlanta, GA, USA;
Boulder, CO, USA;
Chicago, IL, USA
.

• 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.

• 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.

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Data Engineer, you'll guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect scalable data processing systems, build efficient data pipelines, and resolve platform challenges. In this role, you'll collaborate with Google's strategic cloud customers and our team to successfully implement Google Cloud products.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

The Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners.

As a Data Engineer, you'll guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with…