Data Engineer L5 - Security

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 is expanding with a brand new team in Warsaw. This initiative is pivotal to Netflix's success and key to developing a Data Engineering center of excellence in our Poland Engineering Hub.

This team will be responsible for creating data products that provide crucial insights into security, fraud, and technology risks across customer accounts and internal systems. In this role, you will play a key part in empowering our security teams to detect and mitigate various security risks affecting our extensive cloud technology infrastructure. 

A comprehensive understanding of our infrastructure topology, access controls, security policies, and usage patterns is essential. Centralizing diverse data points to enhance our understanding of these dimensions is vital for 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 Warsaw 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 6 years of data engineering experience

• Advanced level SQL skills in a complex data environment

• At least 4 years of experience 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 with diverse skill sets, partnering closely with analytics engineering and data science counterparts

A few more things to know: 

Our culture is unique and we live by our values, so it's worth learning more about Netflix at . We regularly share examples of our work on our . You will need to be comfortable working in the most agile of environments. Requirements will be vague. Iterations will be rapid. You will need to be nimble and take smart risks. 

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.