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AI Data Engineer I, Professional Services, Google Cloud

Google
Austin, USA
Mid · 5+ years experience
Onsite
USD 130000-187000 / year
Discovered 6 days ago
gcpjavapythonsparksql

Full Job Posting

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.

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.

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