Job Description

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 a product mindset, collaborating closely with data scientists and other engineers to optimize product experiences for Netflix members.

Requirements

Proficient in at least one major language on the JVM stack (e.g., Java, Scala) and SQL.
Strong data intuition and analytical skills to support building 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, reliable data products.
Passionate about making data available for self-service and wider integration.
Strong operational awareness and ability to design multi-tenant systems.
Prioritize observability in designs with comprehensive monitoring, logging, and alerting.
Comfortable working in agile environments with vague requirements.

Responsibilities

Partner closely with data scientists and engineers to build data products.
Develop highly available and reliable distributed data systems and services.
Ensure timely delivery of high-quality data for use in the Netflix product.
Craft scalable systems and solutions to meet product and engineering goals.
Own what you build, focusing on quality and proactive issue resolution.

Benefits

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.

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