Software Engineer 5, Data Clean Room jobs in United States
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Netflix · 8 hours ago

Software Engineer 5, Data Clean Room

positionUnited States
timeFull-time
remoteRemote
seniorityMid, Senior Level
money$100K/yr - $720K/yr

Netflix is one of the world's leading entertainment services, and they are seeking a Software Engineer to join their Ads Measurement & Reporting Engineering squad. The role involves building integrations with data clean rooms to support multi-party data sharing for advertising use-cases, while ensuring compliance with privacy regulations.

Digital EntertainmentMedia and EntertainmentTVVideo Streaming
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Comp. & Benefits
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H1B Sponsor Likelynote

Responsibilities

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
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
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

Qualification

Data clean room integrationsGDPRCCPA knowledgeSQLPythonData pipelinesETLCloud platformsPrivacy-preserving techniquesDigital advertising familiarityAudience activation experienceCross-functional collaborationFast-paced environment adaptability

Required

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
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

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

Benefits

Health Plans
Mental Health support
A 401(k) Retirement Plan with employer match
Stock Option Program
Disability Programs
Health Savings and Flexible Spending Accounts
Family-forming benefits
Life and Serious Injury Benefits
Paid leave of absence programs
Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off.
Full-time salaried employees are immediately entitled to flexible time off.

Company

Netflix

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Netflix is an online streaming platform that enables users to watch TV shows and movies.
dateFounded in 1997
location
Los Gatos, California, USA
people-size10001+ employees
web-link
https://www.netflix.com

H1B Sponsorship

Netflix has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (310)
2024 (309)
2023 (191)
2022 (261)
2021 (268)
2020 (225)

Funding

Current Stage
Public Company
Total Funding
$63.91B
Key Investors
Wells FargoTCVGroupe Arnault
2025-12-05Post Ipo Debt· $59B
2024-08-01Post Ipo Debt· $1.8B
2018-05-05Post Ipo Debt· $2.67M

Leadership Team

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Gregory Peters
Co-CEO
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Ted Sarandos
Co-CEO
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Company data provided by crunchbase