Software Engineer, Magic Eye

Google Google · Big Tech · San Francisco, CA +1

Software Engineer role focused on building and maintaining analytics and storage pipelines for user behavior insights across Google's ecosystem. The role involves applying advanced ML/statistical techniques, managing large-scale data storage, and collaborating with data scientists and product managers to derive company-wide insights.

What you'd actually do

  1. Build scalable growth frameworks, data capabilities, and features to strengthen product adoption and understand user interactions.
  2. Apply and evaluate advanced machine learning and statistical techniques to analyze massive datasets, extracting actionable insights.
  3. Be responsible for the large-scale storage of cross-product data, maintaining data pipelines, and establishing common definitions for responsible access.
  4. Partner closely with data scientists, product managers, and central organizations to align data architectures and develop valuable company-wide insights.

Skills

Required

  • building and shipping technical data products
  • data pipelines
  • large-scale analytics frameworks
  • data engineering
  • analytics pipeline development
  • machine learning
  • statistical techniques
  • large-scale data storage
  • data warehouse management
  • data pipeline maintenance
  • cross-functional collaboration

Nice to have

  • developing and executing data analysis
  • strategic skills

What the JD emphasized

  • 8 years of experience in building and shipping technical data products, data pipelines, or large-scale analytics frameworks.

Other signals

  • build and maintain analytics and storage pipelines
  • apply and evaluate advanced machine learning and statistical techniques
  • large-scale storage of cross-product data
  • partner closely with data scientists