Software Engineer, BigQuery BeyondSQL

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
  
• 2 years of experience with software development in one or more programming languages such as C++ or Java, 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 in designing, analyzing and troubleshooting large-scale distributed systems.
• Experience in distributed processing, BigQuery.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical fields.
  
• 2 years of experience with data structures or algorithms.
• Experience in programming in Java or Python in a corporate environment.
• Experience with data analytics metadata systems (e.g., Hiring Management System (HMS), Iceberg Rest Catalog) or data processing frameworks (e.g., Spark, Trino, Flink, Beam).
• Experience in one or both of the following: Cloud Run, virtualization.
• Passion for customer success.

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.

BeyondSQL is part of BigQuery, and we enable developers to write data analytics in languages other than SQL, as well as extend BigQuery using languages other than SQL.

We want to complete the BigQuery extensibility story, starting with a fully managed Python experience.

In this role, you will deliver and manage Python User Defined Functions (UDFs) that can return tables as results (UDTVFs), then UDFs implementing aggregation operations (UDAFs). You have clear customer demand, and good underlying infrastructure, but this space is technically challenging, and this will not be an easy job. Whatever we do must scale to BigQuery scale, with billions of jobs per day, several of them at PiB scale, and performance requirements.

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

• Design including writing quality design documents, and driving approvals.
• Include code with great test coverage, and great production stability.
• Monitor and gather intelligence over feature utilization and issues.
• Make your feature operation simple and include writing probers, monitoring dashboards, doing deployments and keeping production playbooks up to date.
• Help customers with debugging and reasonable requests quickly, which includes responding to them on the support group and Yet Another Question System (YAQs).