Netflix Logo

Netflix

Data Engineer (L4) - Security

Posted 24 Days Ago
Remote
Hiring Remotely in USA
170K-720K Annually
Junior
Remote
Hiring Remotely in USA
170K-720K Annually
Junior
Build reliable, scalable data pipelines and data products to surface security, fraud, and infrastructure risks. Use big-data technologies (Spark, Presto, Flink, Kafka) and advanced SQL to ETL, model, maintain datasets, and enable analytics for security teams. Partner cross-functionally and lead complex system design and implementation.
The summary above was generated by AI

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 easy-to-use 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 here. 

Inclusion 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.

Similar Jobs

A Minute Ago
In-Office or Remote
180K-240K Annually
Senior level
180K-240K Annually
Senior level
Artificial Intelligence • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Architect and build high-performance distributed infrastructure for batch and streaming data across global regions. Optimize state management, checkpointing, JVM performance, and exactly-once processing. Develop AI infrastructure including vector indexing, agentic workflows, and real-time data streaming. Own the full software development lifecycle, contribute to shared tooling and SDKs, and mentor engineers through technical leadership and design reviews.
Top Skills: Apache FlinkSparkGoJavaJvmKafkaKotlinKubernetesOlap EnginesVector Indexing
7 Minutes Ago
Remote or Hybrid
Oregon, USA
72K-90K Annually
Entry level
72K-90K Annually
Entry level
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Leads high-urgency incident response from detection through resolution, coordinating engineers and stakeholders, managing response bridges, communicating business impact, documenting timelines, supporting post-incident reviews, analyzing incident trends, and improving response processes and reporting. Participates in an after-hours on-call rotation.
Top Skills: DatadogJIRAPagerduty
7 Minutes Ago
Remote or Hybrid
Hawaii, USA
72K-90K Annually
Entry level
72K-90K Annually
Entry level
Digital Media • Gaming • Information Technology • Software • Sports • Esports • Big Data Analytics
Leads high-urgency incident response from detection through resolution, coordinating engineers and stakeholders, managing response bridges, communicating business impacts, documenting timelines and decisions, supporting root-cause reviews, analyzing incident trends, and improving response processes, data collection, and reporting. Participates in an after-hours on-call rotation.
Top Skills: DatadogJIRAPagerduty

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account