
10,000+ employees
Founded 1997
📱 Media
👥 B2C
Media • B2C
Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.
🕒 June 27
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10,000+ employees
Founded 1997
📱 Media
👥 B2C
Media • B2C
Netflix is a global streaming entertainment company and content producer whose stated mission is "to entertain the world. " It operates a consumer-facing subscription platform offering on-demand TV shows, films, and original programming, and also runs a public careers site emphasizing culture, inclusion, and hiring accommodations. The provided text highlights Netflix’s focus on recruiting talent worldwide, its work-life and culture pages, and its public-facing employer materials.
• 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 that 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
• 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 10 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 stakeholder groups • Able to successfully lead large, complex systems design and implementation challenges independently
• 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
Apply Now🕒 June 27
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