AI Data Engineer I, Professional Services, Google Cloud

Google Cloud Consulting Professional Services is seeking an AI Data Engineer I to help customers design and deliver end-to-end data solutions on Google Cloud Platform (GCP).

Responsibilities

• Serve as a trusted technical advisor to customers, tackling complex Big Data and AI challenges
• Produce and present best practice recommendations, including tutorials, blog articles, sample code, and technical presentations
• Tailor guidance to both business and technical stakeholders at different experience levels
• Assess on-premises and cloud database environments and advise on optimal design for performance and deployment on GCP
• Support customer data initiatives across ingesting, storing, processing, analyzing, exploring, and visualizing data on GCP
• Guide data migrations and transformations, and help build data pipelines
• Advise on Big Data/AI challenges and collaborate with customer teams to implement Google Cloud products
• Travel regularly up to 30% for in-region meetings, technical reviews, and onsite delivery activities
• Communicate effectively via video conferencing for meetings, technical reviews, and onsite delivery activities

Requirements

• Bachelor’s degree in Computer Science, a related field, or equivalent practical experience
• 5+ years experience with data processing software (e.g., Spark, Beam) and algorithms
• Experience managing client-facing projects, troubleshooting technical issues, and partnering with Engineering and Sales Services teams
• Experience with database administration techniques or data engineering
• Programming experience writing software in Java, Python, or SQL

Technologies

• Spark, Beam
• Java, Python, SQL
• Google Cloud Platform (GCP)

Preferred Qualifications

• 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 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 and developing production-grade Big Data solutions in virtualized environments

Compensation

• USD 130,000 - 187,000 per year

Location

• Seattle, WA (onsite)

Benefits

• Health, dental, vision, life, disability insurance
• Retirement: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at 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