Netflix is seeking a data engineer to enhance the speed, reliability, and structure of data pipelines that process billions of events daily. The role involves close collaboration with data science and software engineering teams to ensure trustworthy analysis results and improve experiment analysis standards.

• Strong proficiency with technologies like Spark or Flink, comfort working with large scale datasets
• Strong proficiency in data modeling, processing, automated testing, health, observability, and debugging
• Fluency in at least one SQL dialect and proficiency in at least one programming language (e.g. Java, Scala, Python)
• Excellent communication and collaboration skills
• Ability to navigate ambiguous problem statements and solve for cohesive platform data solutions

• Work closely with data science and software engineering teammates to act as a strategic thought partner, solve emerging data needs, and ensure that our platform continues to deliver trustworthy and useful analysis results
• Work closely with data engineering and data science partners to set and improve the standards for experiment analysis across Netflix, e.g. via better data contracts and data health
• Design, build, operate, and maintain Spark data pipelines that process billions of allocation events per day and expose a silver layer in Iceberg
• Develop new tooling and pipeline automation to meet emerging experimentation-related business needs

• 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.