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Software Engineer 5 - Ads Data Clean Room

LinkedIn Netflix Los Gatos, CA
Not Applicable Posted March 13, 2026 Job link
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Requirements
  • Strong experience building integrations with data clean rooms to support multi-party data sharing for ads use-cases, especially those supporting audience onboarding, targeting, measurement, etc.
  • Strong understanding of GDPR, CCPA, differential privacy, and data governance best practices.
  • Familiarity with digital advertising, adtech/martech ecosystems, and regulatory landscape.
  • Worked closely with ad operations to enable campaign setup, measurement, targeting, reporting, and advertiser needs.
  • Technical Expertise
  • Proficiency in SQL, Python, or Spark for querying and analyzing large datasets.
  • Experience with data pipelines, ETL, and cloud platforms (AWS, GCP, Azure).
  • Understanding of privacy-preserving techniques (e.g., encryption, federated learning, synthetic data).
  • Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively.
  • Ability to work cross-functionally with engineering, legal, and marketing teams.
  • Experience working with advertisers, publishers, or clean room technology providers.
  • Experience with audience activation or measurement, and privacy-safe data collaboration.
Preferred Skills
  • Experience with audience activation or measurement, and privacy-safe data collaboration.
  • Nice To Haves
  • Contributed to an ads industry technology standard (e.g VAST, OpenRTB) or worked on an industry consortium effort, working group etc.
  • Experience working in the CTV space and knowledge of its unique constraints