Data Engineer, L6 – Ads, Signals and Measurement

🔥 2 minutes ago

🇺🇸 United States – Remote

💵 $510k - $820k / year

⏰ Full Time

🟠 Senior

🔴 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

• Lead the Ads Signals & Measurement team across conversion and attribution, measurement data foundations, and audience onboarding and identity • Build data and attribution capabilities connecting advertising exposure to outcomes • Build data foundations for first-party measurement solutions across the full funnel, including incrementality, lift, experimentation, and third-party measurement studies • Enable audience onboarding, identity resolution, and rich signal generation for audience and targeting solutions • Connect signals, identity, measurement, attribution, and optimization into a cohesive data ecosystem • Set technical direction and design coherence across various organizations • Resolve cross-domain design decisions and help teams converge on scalable approaches • Mentor and coach data engineers, including helping them adopt AI and emerging tools and technologies • Partner with senior engineers on data platform and D&I teams • Contribute to and shape horizontal and platform-wide efforts

🎯 Requirements

• 12+ years building data-foundation, backend, or data engineering systems • Experience in advertising or ad-tech data, specifically in domains such as Ads identity graph, measurement, and targeting • Comfortable moving across multiple ad-tech domains • Experience building trust and driving technical direction across organizational lines • Experience doing so in more than one company or role • Experience building data privacy and governance systems • Clear, thoughtful communication skills for translating technical nuance and business context • Ability to work comfortably with ambiguity and help engineers reach shared decisions • Experience helping other engineers grow • Knowledge of modern data stacks end-to-end: ingestion, processing, storage, and serving • Knowledge of ad-tech systems and data flows, ideally with direct exposure to at least 2 domains across measurement, attribution, identity, audience, and targeting • Knowledge of 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

• Comprehensive health plans • Mental health support • 401(k) retirement plan with employer match • Stock option program • Disability programs • Health Savings Accounts • 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, including vacation, holidays, and sick paid time off • Full-time salaried employees are immediately entitled to flexible time off