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Job Details
Posted date: Sep 26, 2025
Location: Kirkland, WA
Level: Director
Estimated salary: $244,000
Range: $197,000 - $291,000
Description
Collaborate as a member of the team to solve hard distributed query execution problems, and build an easy-to-use, safe, reliable, and fast platform to execute queries on thousands of machines. Have a critical eye for correctness, performance, and privacy/security/data governance. Make SQL data processing easy to democratize data driven decisions at Google. Support all kinds of workloads (from ultra low-latency serving queries to large batch processing pipelines) in F1 Query efficiently requires addressing new challenges in Distributed Execution: adaptive execution, new shuffle technologies, incremental planning and execution, etc. The impact is very real as F1 Query runs at an enormous scale: ~3% of Google Compute Units (GCUs) at Google and growing.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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
F1 Query provides high-performance distributed GoogleSQL-compliant querying across federated data sources. It supports querying nearly any type of data source in common use at Google (e.g., ColumnIO files, Capacitor, Spanner, F1 DB, Spanner). With appropriate data access permissions, users can join data from multiple data sources in the same query. F1 Query powers over 400 production systems across Ads, Finance, Play, Cloud, and YouTube, and helps users address various ad-hoc and low-latency data processing, serving, investigative, and batch use cases.
The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.
The US base salary range for this full-time position is $197,000-$291,000 + 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 experience. 8 years of experience with C++. Experience in Distributed Databases and Large Scale Distributed Systems. Experience designing and developing distributed Databases and Large Scale Distributed SystemsPreferred qualifications: Experience with developing data warehousing, data lakes, batch or real-time event processing, and ETL workflows solutions including architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems. Experience in Relational Database concepts, Transaction processing, SQL, query performance, query plans, optimization. Experience coding in C/C++.
Extended Qualifications
Bachelor's degree or equivalent experience. 8 years of experience with C++. Experience in Distributed Databases and Large Scale Distributed Systems. Experience designing and developing distributed Databases and Large Scale Distributed SystemsCheck out other jobs at Google.