Senior Data Engineer, Privacy

About Netflix

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.

We are in the midst of major transformative developments for the Netflix product with the launch of an Advertising supported plan, Games and Live content. These new products, alongside our streaming service, have resulted in significant increases in the complexity and breadth of our internal data ecosystem. We manage one of the largest paid subscription businesses and are committed to handling our members’ data with a high degree of care towards appropriate use as well as compliance with local privacy laws and regulations in the 190+ countries where we operate.

The Privacy and Legal Data Engineering pod builds scalable data management and extraction frameworks which are at the core of our ability to hold ourselves to the highest data privacy and hygiene standards in the industry.

The Role: Senior Data Engineer, Privacy

We are looking for a Senior Data Engineer, Privacy to help augment our ability to build robust, scalable privacy centric data frameworks. As part of this team, you will work on diverse data technologies such as Spark, Presto, Flink, Kafka and others to build insightful, scalable and robust data pipelines; write ETL jobs to collect and aggregate data; and build high quality data frameworks that enable appropriate handling of customer personal data.

The ideal candidate will bring a strong track record of having built data systems and frameworks to strengthen the privacy posture at large consumer businesses. They will have a deep background in distributed data processing and share our passion for continuously improving the ways we handle data to make Netflix's data privacy posture better.

Who You Are

• Passionate about consumer centric data privacy and risk mitigation for the business
• Highly proficient in at least one of Java, Python or Scala with at least 8 years of software/data engineering experience
• Proficient in advanced SQL and effective in a complex data environment
• Highly experienced in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large scale data sets
• Comfortable working cross functionally with multiple types of stakeholders groups
• Able to successfully lead large, complex systems design and implementation challenges independently

What You Will Do

• Design and implement elegant frameworks to scalably meet various internal and consumer facing data privacy and legal needs
• Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data
• Develop a deep understanding of the data ecosystem at Netflix from a privacy lens
• Partner with the privacy engineering teams to understand product goals and provide data which enables us to respond to customer and regulatory data requests
• Mentor and inspire teammates while elevating the impact of the team
• Enable Netflix to effectively manage legal and regulatory risk and compliance while maintaining a high standard of consumer data privacy expectations

Compensation & Benefits

Generally, 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 $380,000.00 - $610,000.00. This compensation range will vary based on location.

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 details about our Benefits here.

Key skills/competency

• Data Privacy
• Data Engineering
• Big Data Technologies
• Spark
• Presto
• Flink
• Kafka
• SQL
• Python/Java/Scala
• ETL
• Distributed Systems