Senior Data Engineer, Commerce Insights and Data Products Engineering

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.

The Commerce Insights and Data Products Engineering team is responsible for data critical to optimizing our product experiences across various product canvases for both current and future Netflix members.  Our work empowers product managers and business leaders to rapidly experiment and innovate on product experiences that drive towards our goal to “Entertain the world”.

In this role, you will partner closely with data scientists and other engineers to build data products (e.g. batch/realtime pipelines to create product facing/analytical datasets) that power our experimentation and machine learning models that run across our commerce, identity flows, and more. This role is ideal for an individual with an analytical inclination coupled with a robust engineering background who can demonstrate thought leadership in crafting metrics and elegant insights in a highly efficient yet scalable manner.

About you:

• You are proficient in at least one major language preferably on the JVM stack (e.g., Java, Scala) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.
• You have a product mindset and are curious to understand the business's needs. You have a naturally collaborative style to work with product management, data science, engineering, etc in service of these needs.
• You possess strong data intuition and know how to apply your statistical and analytical skills and data engineering fundamentals to support building high-quality data products.
• You are proficient in working with distributed systems and have experience with different distributed processing frameworks that can handle data in batch and real-time e.g. Flink, Spark, etc.  
• You are passionate about making data available for self-service and wider integration.
• You see patterns and new ways to innovate in existing spaces. As a result, you always look for opportunities to simplify and build solutions that work across multiple use cases and teams to realize a range of product and engineering goals.
• You build data products that are well-modeled, documented, and easy to understand and maintain. 
• You own what you build, beyond just your code - design, implementation, operations etc. You have a passion for quality.  
• You prioritize observability in your designs, ensuring your solutions are equipped with comprehensive monitoring, logging, and alerting to facilitate proactive issue detection and resolution.
• You are comfortable working in the most agile of environments with vague requirements. You are nimble and can pivot easily when needed. You are unafraid to take smart risks.
• You relate to and embody many aspects of Netflix's Culture. You love working independently while also collaborating and giving/receiving candid feedback.
• Learn more about the team, and technologies you’d get to work with!
   

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.