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August 22, 2025

Software Engineer, Data Acquisition

Mid • On-site

$141,000 - $202,000/yr

Sunnyvale, CA

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 2 years of experience with data structures or algorithms in either an academic or industry setting.
  • 2 years of experience with software development in C++ programming languages.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical fields.
  • Experience in code and system health, diagnosis and resolution, and software test engineering.
  • Experience in distributed computing, information retrieval, data mining and machine learning.
  • Experience in one or more of the following: development of consumer applications, data warehousing, analytics and reporting, data mining.

About the job

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 $141,000-$202,000 + 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

  • Develop new features or improve the stability of the scheduling infrastructure, which maximizes goodput given internal and external constraints.
  • Develop signals towards understanding the Web and customer's data interest to enable intelligent decisions and web data goals.
  • Develop data pipelines and journeys toward enabling fast and cost-effective development of new signals.