Software Engineer, BigQuery Metadata

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience in the following areas: Storage Systems, Databases, SQL, Data Analytics.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
• Experience building infrastructure in Google Cloud or other Cloud providers.
• Experience with high-performance scalable storage and distributed systems back-ends.
• Experience building or operating large-scale database or data warehouse systems.
• Experience delighting enterprise customers, with an understanding of enterprise workloads.
• Experience with C++ and Java.

About the job

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 a cornerstone of Google Cloud Platform (GCP), an exabyte-scale, fully managed cloud data warehouse experiencing rapid growth. As a strategic differentiator, BigQuery empowers customers with an industry-leading analytics platform, fueling the expansion of GCP.

The BigQuery Metadata team plays a critical role in this success, and we are at the forefront of innovation, delivering metadata management for all managed tables, ensuring accuracy, durability, and resilience through continuous collaboration.

We are seeking a passionate and experienced Software Engineer to join our team, with a specific focus on the physical metadata layer and Iceberg Managed Tables.

In this role, you will be instrumental in contributing to our mission by designing, developing, and maintaining critical metadata services that power BigQuery's performance and functionality.

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.

The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Design and implement algorithms to automatically update the physical shape of stored data, taking into account system efficiency, scale, and user query performance.
• 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 in all parts of the software stack.