Software Engineer III, Shopping Metrics

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages.
• 2 years of experience with data structures or algorithms.

Preferred qualifications:

• Experience with Go, C++ or Dreampipe.
• Experience reading and writing in SQL.
• Exposure to large-scale systems.

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.

People shop on Google more than a billion times a day - and the Commerce team is responsible for building the experiences that serve these users. The mission for Google Commerce is to be an essential part of the shopping journey for consumers - from inspiration to to a simple and secure checkout experience - and the best place for retailers/merchants to connect with consumers. We support and partner with the commerce ecosystem, from large retailers to small local merchants, to give them the tools, technology and scale to thrive in today's digital world.

Responsibilities

• Design and implement data pipelines in SQL, C++, and sometimes Go.
• Work independently on larger parts of a bigger data engineering project.
• Manage client expectations and timelines, including proposing short/long-term solutions with clear tradeoffs and plans for managing/removing tech debt with support from senior engineers.
• Help clients with their data questions (for example by answering questions, or investigating perceived data quality issues).
• Work together with the Metrics Infrastructure team to inform prioritization of infrastructure features that could increase velocity of data engineering work.