Senior Software Engineer, BigQuery Multimodal Storage and Lakehouse

In most instances, this position requires in-person interviews as part of the hiring process.

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

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in C++/Rust.
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience with distributed computing, distributed databases, and distributed systems.
• Experience in designing and developing relational databases, database internals, query processing and query optimization.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• Experience working with BigQuery, database, or storage systems.
• Familiarity with AI/ML data pipelines, PyTorch/JAX data loaders, vector search, or GPU programming.

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.

BigQuery is an exabyte scale cloud-based data warehouse. It is a multi-tenant system storing exabytes of user data. BigQuery storage is the component responsible for getting user data in and out of BigQuery, and how to automatically optimize its physical shape for scale, speed, and ease of use. Drive the Metamorphosis of BigQuery into a high-throughput transactional platform. You will transform how users interact with and manage their data, by implementing core transactional features, change history, fine-grained Data Manipulation Language (DML), and Change Data Capture (CDC) upserts for both Iceberg and native managed tables, amplified by Vortex.

In this role, you will help us build and deliver a data mutation platform for BigQuery and have a huge impact on BigQuery, Data Analytics, and Google Cloud Platform (GCP). Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

• Write and test product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Develop advanced data table features supporting streaming, efficient updates, and open-source engine integration and engineer high-performance data loaders for AI/ML frameworks to accelerate and optimize GPU training pipelines.
• Build and optimize Vortex read/write paths in BigQuery (C++/Rust), pushing filters and projections directly onto compressed encodings.