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X The application window will be open until at least November 3rd, 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 (statutory, where applicable); 5 days/event (discretionary)
- 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.
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 in technical consulting.
- Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments.
- Experience working with Big Data, information retrieval, data mining, or machine learning.
- Experience architecting, developing software, or internet scale production-grade Big Data solutions in virtualized environments.
- Experience building machine learning solutions and working with technical customers.
About the jobAs an AI Data Engineer, you will 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 will collaborate with Google's strategic cloud customers and our team to successfully implement Google Cloud products.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $156000 - $226000 (USD) 15% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Act as a trusted technical advisor to customers and solve complex Big Data 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.
