Senior Software Engineer, Cross-Google Data, Warehouse

Minimum qualifications:

• Bachelor's degree or equivalent practical experience
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• Experience with data modeling and SQL scripting language.
• Experience with infrastructure technologies and Protocol Buffers.

Preferred qualifications:

• Master’s degree or PhD, in Engineering, Computer Science or other technical related field.
• 5 years of experience with software development with data structures and algorithms.
• Experience designing data models and data warehouses.
• Experience with data processing, Infrastructure or privacy.
• Understanding, of user privacy, and S/PII data.
• Knowledge of Flume, and C++.

About the job

The Cross-Google Data Warehouse aims to make Google better at user-focused, data-driven decision making in order to help the company deliver better products. This team integrates data from across Google’s consumer products (e.g., Search, Maps, YouTube, Play, Photos) to create a unified cross-product view (schema, access etc.) of the users' activity in the products, their attributes, the devices used etc. The data generated are used to answer Google’s most important questions and power many of the strategies pursued in Google's Cross Company OKRs.

The basic premise of the effort is that while individual products at Google have powerful data sets, performing analysis (across products) using these data sets tend to be difficult or impossible, because dimensions, metrics, privacy/access rules, storage schemas, and data tend to be highly inconsistent and incompatible across products. This team aims to fill this gap by building data sets with a consistent data model, schema, data and access rules across all consumer-facing Google products and product primitives. We have established solid collaborations across all major consumer product teams and have built a unified data model and data processing infrastructure to turn these various data into a set of powerful and Wipeout-compliant tables for use in analysis and more.

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 $166,000-$244,000 + 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

• Collaborate closely with engineers and data scientists.
• Build Google-scale pipelines that can reliably process petabytes of data ingested from across the company to generate artifacts for dashboards, tools, and tables.
• Design intuitive schemas that can model important user-centric concepts such as user activity, devices, attributes, and more to enable deeper cross-product analysis.
• Apply standard tools, libraries, and frameworks to protect user privacy and ensure compliance with Google privacy policies.
• Build systems to monitor and extract quality related signals from our tables to ensure proactively identifying/fixing data issues and can provide a high quality, trustworthy dataset to the downstream users.