The Commerce Product Performance Data Engineering team at Netflix is seeking a Senior Data Engineer.  This role involves partnering with engineers and data scientists to build data products, power experimentation, and support machine learning models crucial for customer acquisition and commerce optimization.  Responsibilities include crafting metrics, translating business problems into scalable engineering solutions, working with distributed systems (e.g., Flink, Spark), automating tasks, and building reusable components. The ideal candidate is proficient in at least one major language (Java, Scala, Python) and SQL, possesses a product mindset, and thrives in agile environments.

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<div>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 Product Performance Data Engineering team is responsible for data that is critical in driving customer acquisition and optimizing the experience across commerce product flows globally so that prospective members can quickly get to enjoy Netflix. 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 other engineers and data scientists to power experimentation, analytical data products, and machine learning models. This is an opportunity for someone with a strong data engineering background to demonstrate their thought leadership in crafting metrics and elegant insights that have a direct impact on the business.About you:<ul><li>You are proficient in at least one major language (e.g., Java, Scala, Python) and SQL (any variant). You strive to write elegant and maintainable code, and you're comfortable with picking up new technologies.</li><li>You have a product mindset and are curious to understand what the business needs. &nbsp;You have a naturally collaborative style to work with product management, data science, engineering, etc in service of these needs.&nbsp;</li><li>You possess a strong data intuition and apply your analytical and data engineering skills to translate business problems into scalable engineering solutions.&nbsp;</li><li>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. &nbsp;</li><li>You see patterns and new ways to innovate in existing spaces. As a result, you always look for opportunities to simplify, automate tasks, and build reusable components across multiple use cases and teams.</li><li>You build data products that are well-modeled, documented and easy to understand and maintain.&nbsp;</li><li>You own what you build, beyond just your code. You have a passion for quality. &nbsp;</li><li>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.</li><li>You relate to and embody many aspects of Netflix's Culture. You love working independently while also collaborating and giving/receiving candid feedback.</li><li>Learn about the team and technologies you’d get to work with!</li></ul> 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.</div>