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Software Engineer, Core Data Warehouse, Metrics Definition System

Job in Sunnyvale, Santa Clara County, California, 94087, USA
Listing for: jobr.pro
Full Time position
Listed on 2026-01-06
Job specializations:
  • Software Development
    Software Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 166000 - 244000 USD Yearly USD 166000.00 244000.00 YEAR
Job Description & How to Apply Below

Minimum Qualifications:

  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
  • 5 years of experience with distributed systems and architecture, and systems integration.
  • Experience in coding, data management, data analytics.
  • Experience in distributed databases.
Preferred Qualifications:
  • 3 years of experience in back-end data infrastructure and data analysis.
  • 3 years of experience with systems and distributed systems.
  • 2 years of experience in designing, building, and maintaining scalable data and AI solutions.
  • Excellent problem-solving skills.
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.

Google’s Core Data Engineering team provides the common data infrastructure that accelerates innovation and AI development across Google product areas. The Core Data Warehouse team is part of Core Data Engineering. Our objective is to provide easy to onboard, end-to-end integrated data solutions for data analysis. For example, user activities (e.g., daily and monthly active users), experimentation, visualization and slicing. Privacy compliance, reliability, developer velocity and ease of use are table stakes while we unlock additional analytical power of Google's data.

The values we provide to our customer product areas are: integrated solution that supports data privacy out of the box, developer ease and velocity and streamlining ETL systems to avoid schema and data duplication across the stack.

Core team builds technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure se 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
  • Direct design, coding, and their reviews.
  • Provide thorough code reviews that ensure high quality, extensible and maintainable code.
  • Report project progress, and communicate design and architecture options and decisions.
  • Device new development practices that make use of the latest AI innovations in software development.
  • Suggest new or change existing processes and guidelines to improve engineering efficiency and quality for the team.
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