Netflix is seeking an engineer to join the Commerce Insights and Data Products Engineering team, focusing on building low-latency data products that support algorithms and machine learning models. The ideal candidate will have a strong engineering background and analytical skills to develop reliable distributed data systems that enhance product experiences for Netflix members.

• Proficient in at least one major language on the JVM stack (e.g., Java, Scala) and SQL.
• Possess a product mindset and curiosity to understand business needs.
• Strong data intuition and analytical skills to support high-quality data products.
• Experience with large-scale distributed systems and data processing frameworks (e.g., Spark, Flink).
• Understanding of how ML systems consume data and design low-latency data products.
• Passionate about making data available for self-service and integration.
• Ability to craft scalable systems and solutions.
• Strong operational awareness and design multi-tenant systems for high-scale demands.
• Prioritize observability in system designs.
• Own what you build and have a passion for quality.
• Comfortable working in agile environments with vague requirements.
• Embody aspects of Netflix's culture, including collaboration and candid feedback.

• Partner closely with data scientists and engineers to build data products.
• Develop highly available and reliable distributed data systems.
• Ensure timely delivery of high-quality data for Netflix products.
• Design systems that support personalized experiences through ML.
• Monitor and maintain systems to facilitate proactive issue detection.

• Employees at Netflix are often offered flexible, people-first benefits—unlimited time away, generous parental leave, global family-forming support, mental-health programs (mindfulness, free counseling/coaching), and health coverage tailored by country. Financially, Netflix pays at personal top-of-market and lets employees choose their mix of cash vs. fully-vested 10-year stock options, alongside donation and volunteer matching. Convenience perks can include trust-based travel/expense policies, relocation support, and “Work, Not Drive” rideshare flexibility.