Data Engineer (L5)

Role overview

As a Data Engineer (L5) at Netflix, you will build and operate data systems that efficiently process and model data to power analytics, business metrics, and real-time or batch experiences. You’ll work on platforms that support large distributed systems and collaborate closely with business, engineering, and data science teams.

Responsibilities

• Build batch data pipelines to deliver business metrics and analytics.
• Create real-time processing/data services that integrate with core product features.
• Model and curate data across multiple domains (Growth, Finance, Product, Content, Studio).
• Enable insights and product improvements through high-quality data for experimentation and analytics.
• Partner with teams to support machine-learning model powering and analytical insight delivery.
• Maintain strong data quality, documentation, and data debugging practices.
• Adapt to ambiguous requirements in a rapidly changing environment.

Requirements

• Write elegant code and independently learn new technologies.
• Proficient in at least one major programming language (e.g., Java, Scala, Python) and comfortable with SQL.
• Strong background in distributed data processing and/or data services/software engineering.
• Familiarity with big data technologies such as Spark or Flink and comfort with web-scale datasets.
• Strong attention to detail and data intuition; passion for data quality.
• Strong communication skills and collaborative mindset.

Nice to have

• Deep expertise in at least one area (distributed processing, data services, or data modeling).
• Strong alignment with Netflix culture and values (learning, candid feedback, independence with collaboration, taking intelligent risks).