Full Time F1 Data Analyst Jobs (NOW HIRING)

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with C , large-scale distributed systems, and technical infrastructure.
• 2 years of experience in a people management, supervision/team leadership role.
• Experience managing cross-functional or cross-team projects.

Preferred qualifications:

• Experience with distributed databases.
• Experience in relational database concepts, transaction processing, SQL, query performance, query plans, and optimization.
• Experience coding in C/C .

About the job
Like Google's own ambitions, the work of a Software Engineer goes beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers. You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.
With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.
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 Data Base, 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 $207,000-$300,000 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

• Focus on the health, scalability, and operability of the service infrastructure, enabling the core F1 engine to power data-driven insights and innovation across all of Google's operational landscapes.
• Conduct regular performance reviews, provide constructive feedback, and support professional development.
• Oversee the planning, execution, and delivery of the software projects on the roadmap.
• Support all kinds of workloads (from ultra low-latency serving queries to large batch processing pipelines) in F1 Query efficiently requires addressing new issues in distributed execution, adaptive execution, new shuffle technologies, incremental planning and execution, etc.
• Impact is very real as F1 Query runs at an enormous scale: ~3% of Google Compute Units (GCUs) at Google and growing.

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