[Remote] Data Engineer (L6) - Ads (Signals and Measurement)

Note: The job is a remote job and is open to candidates in USA. Netflix is a global entertainment company focused on entertaining the world through storytelling, fandom, and technology. The Staff Data Engineer will lead the Ads Signals & Measurement team, setting technical direction across conversion and attribution, measurement data foundations, audience onboarding, and identity. The role will resolve cross-domain design decisions, mentor data engineers, and partner with senior engineers on data platform and Data & Insights initiatives.

Responsibilities

• Set technical direction and design coherence across the various orgs, connecting the dots between domains rather than optimizing just one
• Weigh in on and help resolve cross-domain design decisions, helping teams converge on approaches that scale across the org, not just within a single team
• Mentor and coach data engineers, helping them grow technically and adopt AI and emerging tools and technologies
• Build strong partnerships with senior engineers on our data platform and D&I teams, contributing to and shaping horizontal and platform-wide efforts

Skills

• A seasoned technologist with 12+ years building data-foundation, backend, or data engineering systems, someone other engineers naturally look to for direction
• You've spent real time in advertising or ad-tech data, specifically in domains like Ads identity graph, measurement, targeting, and while your depth may run deepest in one domain, you're comfortable moving across several
• You've built trust and driven technical direction across organizational lines, not just within your own team, and you've done it in more than one company or role
• You take data privacy and governance seriously, not as a checkbox, but as something you've actually built for
• You're a clear, thoughtful communicator who can translate technical nuance for engineers and business context for leaders, often in the same conversation
• You're comfortable with ambiguity, and just as comfortable helping a room of smart, opinionated engineers land on a shared answer
• You genuinely enjoy helping other engineers grow, and see that as just as core to the job as your own technical output
• Modern data stacks end-to-end: ingestion, processing, storage, and serving
• Large-scale distributed data systems such as Spark, Kafka, or columnar stores
• The latest in AI and agentic technologies as they apply to data engineering
• Ad-tech systems and data flows, ideally with direct exposure to at least 2 domains across measurement, attribution, identity , audience, targeting
• A graduate degree in Computer Science with a data focus
• Experience formally mentoring engineers on their technical growth

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 Overview

Company H1B Sponsorship