Data Engineer 5, Experimentation Platform

Netflix is a global entertainment company that pushes the boundaries of storytelling and technology. They are seeking a Data Engineer to enhance their Experimentation Platform, focusing on improving data pipelines that process billions of events daily.

Responsibilities:

• 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

Requirements:

• 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