Data Engineer, L5 – Security

Job not on LinkedIn

🕒 June 27

🇺🇸 United States – Remote

💵 $100k - $720k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 18%

What it means: the chance that no one is really hiring for this job.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.

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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

• Engineer efficient, adaptable and scalable data pipelines to process structured and unstructured data • Develop a deep understanding of the security ecosystem at Netflix • Partner with the security engineering teams to understand product goals and provide data which empowers teams to improve our fraud and security posture • Maintain and rethink existing datasets and pipelines • Enable smart analytics by building robust, reliable, and useful data sets that can power various analytic techniques like regression, classification, clustering etc

🎯 Requirements

• Highly proficient in at least one of Java, Python or Scala with at least 7 years of software/data engineering experience • Advanced level SQL skills in a complex data environment • At least 5 years of experience 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 • Prior experience in the security and fraud space is strongly preferred

🏖️ 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 • Full-time hourly employees accrue 35 days annually for paid time off

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