[Hiring] Data Engineer @Netflix

Role Description

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.

Ads Data Engineering is at the core of building a data ecosystem that powers Netflix's understanding and decision-making about the impact of ads on our business. This team builds rich, connected, and easily accessible data products spanning:

• Ad inventory
• Forecasting
• Targeting
• Ad serving
• Pacing

This role will lead the Ads Signals & Measurement team across three core areas:

• Conversion & Attribution: Building the data and attribution capabilities that connect advertising exposure to outcomes, powering conversion measurement and ML-based optimization.
• Measurement Data Foundations: Building the data foundations that power our first-party measurement solutions across the full funnel, including incrementality, lift, experimentation, and third-party measurement studies.
• Audience Onboarding & Identity: Enabling audience onboarding, identity resolution, and rich signal generation to power audience and targeting solutions.

Horizontally, the team connects these areas through a data flywheel where signals, identity, measurement, attribution, and optimization continuously reinforce one another. This role sits at the intersection of these domains, ensuring they come together as a cohesive data ecosystem that powers both measurement and performance optimization. We're looking for a Staff Data Engineer to help set the technical bar and lead teams across these domains.

Qualifications

• A seasoned technologist with 12+ years building data-foundation, backend, or data engineering systems.
• Experience in advertising or ad-tech data, specifically in domains like Ads identity graph, measurement, targeting.
• Proven ability to build trust and drive technical direction across organizational lines.
• Strong focus on data privacy and governance.
• Clear and thoughtful communicator, able to translate technical nuance for engineers and business context for leaders.
• Comfortable with ambiguity and helping teams reach consensus.
• Passionate about mentoring and helping other engineers grow.

Requirements

• 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, promoting technical growth and adoption of emerging tools.
• Build strong partnerships with senior engineers on data platform and D&I teams.

Benefits

• Comprehensive 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
• 35 days annually for paid time off for full-time hourly employees
• Flexible time off for full-time salaried employees