Staff Software Engineer, Data Lakehouse
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Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
- 5 years of experience in leading technical project strategy, Machine Learning (ML) design, and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with Natural Language Processing (NLP) concepts and algorithms, and experience in designing NLP solutions.
Preferred qualifications:
- Advanced degree in Computer Science or related technical field or equivalent practical experience.
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.
In this role, you will foster increases in developer and analysis velocity, overall performance, and integrating related data journeys such as discovery, authoring, governance, data quality, productionalization, and safety. This will be achieved with a mix of traditional data infrastructure and A.I. driven data assets development and analysis. While leading the development of the Data Lakehouse, you will also also continues to enhance and support the existing Metric Definition System (MDS) and Core Data Warehouse.
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.
Responsibilities
- Design and implement cross system user journeys that connect multiple data analysis functionalities, discovery, data preparation, analysis, observability, productionalization, etc.
- Improve velocity of and simplify the user journeys with the help of latest A.I. advancements.
- Design and implement system integrations across existing products, including Plx, SQL pipelines, Data Engineering Console, to support the new user journeys.
- Lead design, code, design and code reviews, and proposing solutions to challenging and ambiguous problems.
- Suggest new or change existing processes to improve engineering efficiency and quality for the team.
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Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
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