Privacy Engineer (L4), Data Protection

Netflix is revolutionizing entertainment by producing distributing and streaming content at a massive scale. Over 260 million members around the globe are currently enjoying more than two billion hours per month of original series documentaries and feature films. Visit our long-term view to learn more.

The Team

The Privacy and Data Protection Engineering team ensures safe & efficient data use across Netflix. We work closely with our stunning colleagues in Legal to provide privacy engineering guidance support and assurance throughout the company. We are a growing team with tremendous visibility and impact and with Netflix’s culture of “Freedom and Responsibility” you’ll decide how to best use your talents and time.

The Role

We are looking for a Privacy Engineer to join our Data Protection team with an exciting mission of protecting all data at Netflix! You will work closely with security and privacy engineers software and data engineers product managers and legal product and engineering leadership to design develop and maintain effective data handling guidelines and policies.

In this role you’ll set technical direction create strategies and plans develop great technical documentation and facilitate alignment across cross-functional teams to ensure our guidance tooling and practices are driving tangible data privacy improvements both in the management of personal information and accountability of our privacy program. This role will have a significant impact ranging from protecting data at a massive scale to how Netflix engineers use data and data tools in their daily work.

This role offers a chance to make a real impact in Entertaining the World . If you're up for the challenge we'd love to hear from you!

Desired Background:

• You’re passionate about privacy and data protection!

• You have the expertise to develop scalable and pragmatic controls related to data collection storage access usage and deletion in data warehouse environments and/or operational data systems.

• You can advise on what Privacy Enhancing Technologies to use and explain why they make a difference.

• You are familiar with data cataloging and classification approaches and best practices at scale.

• You utilize a variety of communication and collaboration tools and methods to facilitate effective alignment with cross-functional stakeholders including legal.

• You have prior experience in software development large-scale distributed systems or data engineering technologies (Hive Presto Spark).

Stunning colleagues come from different education levels and backgrounds. The Netflix culture determines who we hire how we work together and how we make decisions. You will be surrounded by a great team and empowered to produce your best work.

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 $100000 - $720000.

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 detail about our Benefits here .

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

We are an equal-opportunity employer and celebrate diversity recognizing that diversity of thought and background 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.