Software Engineer 5, Data Clean Room

Netflix; Seattle (WA); On-site; USD 100,000 - 720,000; Full time

Job summary

Join a forward-thinking company as a motivated engineer in the advertising space, where you'll build innovative systems that empower advertisers and enhance user privacy. This exciting role involves creating integrations with data clean rooms, leveraging cutting-edge technologies, and collaborating with cross-functional teams to drive impactful results. As part of a dynamic and ambitious team, you'll help shape the future of advertising in a rapidly evolving landscape. Embrace the opportunity to make a significant impact while enjoying a unique culture that values diversity and inclusion.

Benefits

Health Plans

Mental Health Support

401(k) Retirement Plan

Stock Option Program

Disability Programs

Flexible Spending Accounts

Paid Time Off

Family-forming Benefits

Life and Serious Injury Benefits

Qualifications

• Strong experience with data clean rooms and multi-party data sharing.
• Proficiency in SQL, Python, or Spark for data analysis.

Responsibilities

• Build integrations to support data sharing for advertising.
• Collaborate with engineering, legal, and marketing teams.

Skills

Data Clean Rooms Integration

GDPR and CCPA Knowledge

Digital Advertising Familiarity

Ad Operations Collaboration

SQL Proficiency

Python Proficiency

Data Pipeline Experience

Privacy-preserving Techniques

Cross-functional Collaboration

Audience Activation Measurement

Tools

AWS

GCP

Azure

Spark

Job description

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

We launched a new ad-supported tier in November 2022 to offer our members more choice in how they consume their content. Our new tier allows us to attract new members at a lower price point while also creating a compelling path for advertisers to reach deeply engaged audiences.

Our Team

The Ads Measurement & Reporting Engineering squad builds systems and integrations that enable advertisers on Netflix to quantify campaign outcomes. Leveraging a blend of Netflix innovations and both first-party and third-party solutions, we deliver ads that respect the viewing experience while driving impactful results for advertisers in a way that preserves user privacy. Our tools empower advertisers to effectively measure and analyze these outcomes.

Our team is new, yet we have enormous ambitions of building highly performant advertising systems and delivering high impact to our business by monetizing our incredible slate of content. As one of the newest entrants in the rapidly growing Connected TV advertising space, we seek to build unique value propositions that help us differentiate from the competition and become a market leader in record time.

We are looking for highly motivated engineers working in the advertising space who are excited to join us on this journey.

Skills & experience we’re seeking:

• 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.

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.

Our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $100,000 - $720,000.

Netflix provides comprehensive benefits including 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, and Life and Serious Injury Benefits. We also offer 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. See more details about our Benefits here.

Netflix is a unique culture and environment. Learn more here.

Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.

Job is open for no less than 7 days and will be removed when the position is filled.