The Data Engineer role at Netflix focuses on building reliable data pipelines and data products to enhance security visibility and mitigate risks across the company's cloud technology infrastructure. The position is part of the Security Data Engineering team, which aims to centralize data points related to security, fraud, and technology risks. The ideal candidate will have experience in data engineering and a strong understanding of security systems. This role operates in a hybrid-working model based in the contiguous US.

• Highly proficient in at least one of Java, Python, or Scala, with Scala preferred.
• At least 2 years of data engineering experience.
• Advanced level SQL skills in a complex data environment.
• Experience in engineering data pipelines using big data technologies such as Spark, Presto, and Flink on medium to large scale data sets.
• Prior experience in the security space is strongly preferred.

• 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 security engineering teams to understand product goals and provide data that empowers teams to improve 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.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.