United States onlyNetflix is enjoyed by more than 230 million members globally, entertaining new audiences every day. 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.
We are looking for a Data Engineer to help augment our ability to build these 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 have a strong background in distributed data processing, have great data intuition, 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 2 years of software/data engineering experience
- Comfortable with advanced SQL
- Experienced in engineering data pipelines using big data technologies (Hive, Presto, Spark, Flink) on medium to large scale data sets
- Excel at taking requirements and implementing scalable data models and pipelines
- Excited about demonstrating excellence, learning new technologies, and growing your career
What you will do:
- Engineer efficient, adaptable, and scalable data pipelines to process structured and unstructured data
- Develop a good understanding of the data ecosystem at Netflix from a privacy lens
- Partner with the privacy engineering teams to understand product goals and provide data that enables us to respond to customer and regulatory data requests
- Maintain and rethink existing datasets and pipelines
- Join a stunning team of data engineers who enhance our data privacy posture and mitigate legal and regulatory risk
A few more things to know:
Our culture is unique and we live by our values, so it's worth learning more about Netflix at jobs.netflix.com/culture. We regularly share examples of our work on our tech blog. You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks.
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 $100,000 - $720,000.
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.
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.
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