AI Data Engineer I, Professional Services, Google Cloud

Google LLC; Austin (TX); On-site; USD 130,000 - 187,000; Full time

Job summary

Google LLC in Austin is seeking a Data Engineer to guide customers on ingesting, storing, and analyzing data on Google Cloud Platform. You will lead data migrations, architect scalable pipelines, and partner with clients to implement production-grade data processing systems.

You will collaborate with Google's strategic cloud customers and our team to deploy Cloud products, while travel up to 30% for in-region reviews and onsite delivery activities.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 5 years with data processing software (e.g., Spark, Beam) and algorithms.
• Experience managing client-facing projects and troubleshooting issues.
• Experience with DB techniques or data engineering; Java/Python/SQL skills.

Responsibilities

• Act as a trusted technical advisor to customers and solve Big Data and AI challenges.
• Create and deliver best practice recommendations, tutorials, and technical presentations.
• Analyze on-premises and cloud DB environments and design for performance on GCP.
• Travel up to 30% for in-region meetings and onsite delivery.

Skills

Data processing

Spark / Beam

Client-facing projects

Java / Python / SQL

Troubleshooting

Education

Bachelor's degree in CS or related field

Job description

The 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.

Minimum qualifications

• 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.

Preferred qualifications

• 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.

About The Job

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.

US: $130000 - $187000 (USD) + 15% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.

See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .