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Job Details
Posted date: Feb 26, 2026
Location: Kirkland, WA
Level: Senior
Estimated salary: $171,500
Range: $141,000 - $202,000
Description
Implement components to support a large-scale continuous query engine. 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. Debug and solve customer issues/respond to customer feedback.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 multi-tenant cloud-based data warehouse storing exabytes of user data. Users ingest data into BigQuery's managed storage where we enable them to perform cost-effective large-scale analysis of their data. BigQuery powers a number of major Google Cloud Platform (GCP) customer workflows and continues to be one of the most successful products in GCP.
Our team is working on a long-term innovative effort to support continuous query processing natively in BigQuery. This will enable our users to run complex streaming scenarios ingesting/exporting real time data from/to Pub-Sub/Kafka/Bigtable for dashboarding, online monitoring, real-time ML inferencing. The future of data analysis is in streaming, come join a team bringing that future to GCP's top 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.
Qualifications
Minimum qualifications: Bachelor’s degree or equivalent practical experience.2 years of experience with software development (e.g. C++), 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.
Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields.
Experience with one or more of the following: database internals, streaming analytics, streaming, SQL, storage systems.
Extended Qualifications
Bachelor’s degree or equivalent practical experience.2 years of experience with software development (e.g. C++), 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.