AI Data Engineer I, Professional Services, Google Cloud

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

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

Life insurance

Disability insurance

401(k) with company match

Paid Time Off: 20 days/year

Sick Time: 40 hours/year

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

13 paid holidays per year

Job summary

Google LLC in Austin, TX is seeking a Share AI Data Engineer I to join the Google Cloud Consulting Professional Services team. The role focuses on guiding customers through data ingestion, storage, and processing on Google Cloud Platform, building scalable data pipelines, and collaborating with clients and internal teams.

You will work with data engineering, analytics, and engineering stakeholders, delivering production-grade big data and GenAI solutions while traveling up to 30% regionally as

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.

Responsibilities

• 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.

Skills

Client-facing projects

Troubleshooting

Engineering collaboration

Education

Bachelor's degree in Computer Science or related field

Tools

Spark

Beam

Java

Python

SQL

Job description

Share AI Data Engineer I, Professional Services, Google Cloud

corporate_fare Google place Austin, TX, USA ; Atlanta, GA, USA ; +3 more

X 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. In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

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; Seattle, WA, 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.

Preferred qualifications:

• 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

• 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.