Software Engineer, BigLake, Hybrid Streams

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Seattle, WA, USA; Kirkland, WA, USA.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 with both C++ and Performance Analysis.
  
  

Preferred qualifications:

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience with data structures or algorithms.
• Experience in one or more of the following areas such as Java, Performance Optimization, Database Internals, Open Source Contributor, Apache Spark, Apache Iceberg, Presto.
• Experience working within the open data processing ecosystem (e.g., 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.
  
  

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.

In this role, you will be responsible for helping customers to succeed with BigLake. You will be interested in working on open standards and delighting major Google Cloud customers.

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

• Help customers succeed with BigLake.
• Encompass Google's production environment, the open-source Apache Iceberg ecosystem, and open-source data processing engines such as Apache Spark and Trino.
• Lead execution of projects spanning multiple quarters and collaborate with peers from multiple products within Data Cloud BigQuery, Dataproc, Dataflow, and others.
• Design, implement, test, and review new BigLake features, and for the quality, engineering excellence, and operational stability of BigQuery and BigLake.
  
  
  

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .