Job Details
Posted date: Nov 06, 2024
Location: Seattle, WA
Level: Senior
Estimated salary: $168,000
Range: $136,000 - $200,000
Description
Work closely with customers and teams across Google migrating to BigQuery, and enable significant business impact through our close partnerships while improving the automation of the entire service. Integrate AI Large Language Models (LLMs) into the engine and service. Build and extend the SQL service and engine development. Analyze complex SQL issues and develop solutions including new engine improvements such as new semantic parsers, transformers, and emitters. Work closely with partner teams and customers to provide SQL expertise and extend the service.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.
The BigQuery Migration Service migrates users to BigQuery by translating SQL from other SQL databases into BigQuery SQL using the industry's leading semantic compiler engine. We are extending the SQL engine with broader SQL coverage, integrating Google's latest Artificial Intelligence (AI) Large Language Model (LLM) models, analysis and lineage of SQL workloads, optimizing Structured Query Language (SQL) rewrites with the BigQuery engine, and improving the usability and automated migration capabilities of the service.
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 $136,000-$200,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with data structures or algorithms.
Experience with SQL and extracting and manipulating data from databases.
Preferred qualifications: Master's degree or PhD in Computer Science or related technical fields.
2 years of experience with AI/ML algorithms and tools (e.g., TensorFlow), deep learning, or natural language processing or other Machine Learning (ML) discipline. Experience with data warehousing. Knowledge of Google technologies and infrastructure including networking, security, corporate systems and infrastructure, system administration and operations, and the software development life-cycle.
Extended Qualifications
Bachelor’s degree or equivalent practical experience.2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
2 years of experience with data structures or algorithms.
Experience with SQL and extracting and manipulating data from databases.
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