Data Engineer, Privacy

Job not on LinkedIn

🕒 June 27

🇺🇸 United States – Remote

💵 $170k - $720k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 13%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Netflix

WebsiteLinkedInAll Job Openings

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.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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