Staff Engineer, BigQuery Managed Storage, High Throughput Streaming

Google’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We’re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Our team is riding the wave of the latest advancements in data analytics, integrating with technologies like Apache Iceberg and Apache Delta. Our work impacts the user experience across the Google Cloud platform (GCP) data analytics landscape.

As a member of our small and early-stage team, you will have excellent learning and growth opportunities. You’ll be a part of the BigQuery team, where you’ll be empowered to design, implement, launch and land large-scale, impactful projects with the necessary support and guidance, and a large pipeline of enterprise customers waiting to use your features. You’ll be instrumental in shaping the architecture and future of BigQuery.

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: $207000 - $300000 (USD) + 20% bonus target + equity + benefits, * Design and implement storage components to support large-scale data processing for both open source software (OSS) and BigQuery.

• Design and implement tests and experiments to evaluate and monitor the performance of the system.
• Use the full battery of tools and instrumentation to develop, test, and rollout features.
• Coordinate with product engineers, Product Managers and customers to grow the business.

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain., * Bachelor’s degree or equivalent practical experience.

• 8 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 5 years of experience in the Data Analytics ecosystem (e.g., Iceberg, Spark, Flink, Pandas, Arrow)., * Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 10 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

XIn 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