Senior Software Engineer, BigLake, Iceberg REST Catalog
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development.
- 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
- Experience with the following: C++, Java, and System Design.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- 1 year of experience in a technical leadership role.
- Experience working within the open data processing ecosystem (Apache Iceberg or other open table formats, or with Apache Spark, Trino, or other data processing engines).
- Experience with both Google's production environment and open-source development workflows.
- Experience in one or more of the following areas: Database Internals, Open Source Contributor, Apache Iceberg, Apache Spark, Terraform.
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.
The BigLake team's mission is to evolve BigQuery into the world's best data lake house platform. Apache Iceberg is rapidly emerging as the de facto table format for the modern lake house, allowing many engines to operate on a single copy of data to power interoperable data and AI workloads with high performance and low cost. BigLake builds on the scalable, reliable foundation of BigQuery to provide a lake house solution spanning catalog APIs, storage management and grooming, data governance, and more.
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 $166,000-$244,000 + 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
- Be responsible for helping customers to succeed with BigLake.
- Lead the execution of projects spanning multiple quarters and multiple engineers, and influence on products within Data Cloud: BigQuery, Dataproc, Dataflow, and others.
- Be responsible for designing, implementing, testing, and reviewing new BigLake features, contributing to Google Cloud's overall engineering vision and road map for Apache Iceberg and for the quality, engineering excellence, and operational stability of BigQuery and BigLake.
- Work on projects spanning BigQuery and the open-source data processing ecosystem, contribute to Google's overall engineering vision and road map for Apache Iceberg, and work directly with some of BigQuery's biggest customers.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
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.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.