Data Engineer (L4) - Security

4 Months ago • 2 Years + • Data Analyst • $170,000 PA - $720,000 PA

Job Summary

Job Description

Netflix's Security Data Engineering team seeks a Data Engineer to build reliable data pipelines and intuitive data products for security risk detection and mitigation. This role involves leveraging big data technologies (Spark, Presto, Flink, Kafka) to process structured and unstructured data, building ETL jobs, and developing data models describing the technology footprint. The ideal candidate will have experience in building data systems for large consumer businesses, strong SQL skills, and proficiency in Java, Python, or Scala (Scala preferred). Responsibilities include engineering scalable data pipelines, understanding Netflix's security ecosystem, partnering with security teams, maintaining datasets and pipelines, and building robust data sets for various analytic techniques.
Must have:
  • Proficient in Java, Python, or Scala (Scala preferred)
  • Advanced SQL skills
  • Experience with big data technologies (Spark, Presto, Flink, etc.)
  • 2+ years of data engineering experience
  • Experience building data systems for large businesses
Good to have:
  • Prior experience in the security space

Job Details

Netflix is one of the world's leading entertainment services, with 283 million paid memberships in over 190 countries enjoying TV series, films and games across a wide variety of genres and languages. Members can play, pause and resume watching as much as they want, anytime, anywhere, and can change their plans at any time.

Securing our members’ data appropriately is key to maintaining a high level of trust with our customers. In addition, securing our technology infrastructure and understanding inherent risks are essential to enable us to scale our business effectively while maintaining a healthy security posture.

The Security Data Engineering team builds data products which provide visibility into security, fraud and technology risks across customer accounts as well as internal systems and data. This role is specifically focused on enabling our security teams in detecting and mitigating various types of security risks affecting our expansive cloud technology footprint. This requires a holistic understanding of our infrastructure topology, access controls, security policies and usage patterns. Centralizing various data points which help us understand these dimensions is key to success in this role

We are looking for a Data Engineer to build reliable data pipelines and intuitive data products that allow our stakeholders to easily leverage data in an effective manner. 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 models that describe the entities, interactions and usage patterns of our technology footprint. 

The ideal candidate will bring a strong track record of having built data systems and frameworks to strengthen the security posture at large consumer businesses. They will have a deep background in distributed data processing and share our passion for continuously improving Netflix's security posture. 

This role is based in the contiguous US and our teams work in a hybrid-working model. 


Who you are:

  • Passionate about building intuitive data products to understand and mitigate security risks

  • Highly proficient in at least one of Java, Python or Scala (Scala preferred) with at least 2 years of data engineering experience

  • Advanced level SQL skills in a complex data environment

  • Experienced in engineering data pipelines using big data technologies (Spark, Presto, Flink etc.) 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 space is strongly preferred

What you will do:

  • 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 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

  • Join a stunning team of data engineers with diverse skill sets, partnering closely with analytics engineering and data science counterparts

At Netflix, we carefully consider a wide range of compensation factors to determine your personal top of market. We rely on market indicators to determine compensation and consider your specific job, skills, and experience to get it right. These considerations can cause your compensation to vary and will also be dependent on your location. 

The overall market range for roles in this area of Netflix is typically $170,000 - $720,000. 

This market range is based on total compensation (vs. only base salary), which is in line with our compensation philosophy. Netflix is a unique culture and environment. Learn more . 

is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.

We are an equal-opportunity employer and celebrate diversity, recognizing that diversity 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.

Job is open for no less than 7 days and will be removed when the position is filled.

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