Staff Data Engineer – Ads

🔥 17 hours ago

🇺🇸 United States – Remote

💵 $510k - $820k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 0%

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Netflix

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1997

📱 Media

👥 B2C

Media • B2C

Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.

📋 Description

• Set technical direction and design coherence across the entire Ads Data Engineering organization • Resolve cross-domain design decisions and help teams converge on scalable approaches • Partner with the Ads DE director and DE managers as a senior technical voice • Bridge technical strategy with broader business priorities • Mentor and coach data engineers across the organization • Help engineers adopt AI and emerging tools and technologies • Partner with senior engineers on data platform and D&I teams • Contribute to horizontal and platform-wide efforts • Define what AI-native data engineering looks like for Ads DE • Serve as the primary technical voice with Ads Platform Engineering, Ads Data Science, and Product

🎯 Requirements

• 15+ years building data-foundation, backend, or data engineering systems • Experience in advertising or ad-tech data • Experience driving technical direction across organizational lines and in more than one company or role • Experience with major platform migrations or data products from 0 to 1 and 1 to 100 • Experience designing data as a product with focus on users, quality, and measurable impact • Experience building data privacy and governance • Modern data stacks end-to-end: ingestion, processing, storage, and serving • Ad-tech systems and data flows, ideally including bidding, measurement, or attribution • Large-scale distributed data systems such as Spark, Kafka, or columnar stores • Knowledge of AI and agentic technologies as applied to data engineering • Graduate degree in Computer Science with a data focus is a plus • Experience formally mentoring engineers on their technical growth is a plus

🏖️ Benefits

• Health Plans • Mental Health support • 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