Software Engineer, BigQuery Metadata
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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: data analytics, databases, SQL, and storage systems.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical fields.
- Experience with C++ and Java.
- Experience building infrastructure in Google Cloud or other Cloud providers.
- Experience with high-performance scalable storage and distributed systems backends.
- Experience building or operating large-scale database systems.
- Understanding of enterprise workloads and passion for delighting enterprise customers.
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.
Our team is at the forefront of BigQuery's evolution, driving innovation in metadata infra to power the next generation of data warehousing. We deliver the scalable and reliable metadata foundation for all BigQuery operations while pioneering features for Apache Iceberg.
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 $147,000-$211,000 + 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, develop, and deploy highly scalable and performant features to enhance Apache Iceberg compatibility within BigQuery, spanning data ingestion, query processing, and metadata management at the Petabyte scale.
- Ensure new Iceberg features integrate seamlessly, maintaining the reliability and performance BigQuery users expect, while adhering to open standards.
- Collaborate closely with Product Managers, Customer Engineers, and a wide range of engineering teams, including Catalogs, Federation, and the Query Engine, to deliver unified and impactful solutions. Engage with real customer problems and feedback to drive feature improvements and address critical use cases.
- Track developments in the open-source Apache Iceberg community, understand the evolving spec, contribute to discussions, and advocate relevant community directions within our product roadmap.
- Design and implement comprehensive testing strategies.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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