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Google is seeking software engineers to work on BigQuery, a fast, serverless data warehouse. You will tackle low-latency queries, scale, and contribute across full‑stack development while exploring AI, networking, and data storage.
The role offers opportunities to switch teams as the company grows and evolves. You will provide technical leadership on projects, design, develop, test, deploy, and maintain large-scale software, and contribute to improving query performance in a dynamic,
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:
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.
Google BigQuery is a fast, serverless, and highly scalable multi-cloud data warehouse offered as part of Google Cloud Platform. It supports a wide range of data analytics use cases—including reporting, business intelligence, data pipelines, and data marts—and is used across many enterprise sectors including retail, finance, technology, and gaming.
BigQuery is one of the leaders in the data warehousing space. As we learned in recent years, most of the queries users run are working on small datasets. The trend is so profound that some ex-BigQuery leaders even started new businesses to solve that exact use case. Our team's mission is to make BigQuery the best data warehouse for low-latency, high-throughput use cases.
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 more critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .
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 .