Data Engineer

Netflix

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Los Gatos, CA
Salary
$380,000–$610,000 / yr
Posted
8 days ago
Freshness
Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $169k
This role $495k
$69k $668k
below market most similar roles pay here above market

This role pays more than 98% of similar roles. Most pay $126,800–$211,200 — the blue band above. At the midpoint, this role pays about $495k versus about $169k for comparable roles.

Based on 240 similar postings.

Employer

About Netflix

Netflix is the world''s leading streaming entertainment service, offering a vast library of TV series, films, documentaries, and original content to subscribers in over 190 countries. Industry: Streaming Entertainment & Media

Netflix currently has 179 open roles on FindRole.

Listed pay typically runs $436,000–$700,000 across 123 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Data Engineer

The Data Engineer (L5) joins the data engineering team to build systems that process data efficiently and model information to power analytics. This role involves developing batch data pipelines for business metrics and real-time processing services that integrate with core product features. The engineer will curate data across domains like Growth, Finance, Product, Content, and Studio to enable a culture of learning. Key responsibilities include creating new product features using data and powering machine-learning models. Candidates must be proficient in at least one major programming language such as Java, Scala, or Python, and be comfortable with SQL. Required expertise includes distributed data processing, software engineering of data services, or data modeling using big data technologies like Spark or Flink on web-scale datasets.

What does a Data Engineer earn in California?

Median $187700 from 41 postings across 21 companies.

See salary data

What you'll do

  • Build systems to process data efficiently for business metrics and real-time product features.
  • Model data to power analytics, machine-learning models, and new product features.
  • Curate data across various domains including Growth, Finance, Product, Content, and Studio.
  • Develop batch data pipelines and real-time processing services for web-scale datasets.
  • Maintain large distributed systems that support data solutions and infrastructure.
  • Write elegant code using major programming languages like Java, Scala, or Python.
  • Perform data debugging and maintain high standards for data quality and documentation.

What we're looking for

  • You must be proficient in at least one major programming language such as Java, Scala, or Python.
  • You must be comfortable working with SQL.
  • You must have a strong background in distributed data processing, software engineering of data services, or data modeling.
  • You must be familiar with big data technologies like Spark or Flink.
  • You must be comfortable working with web-scale datasets.
  • You must have strong communication skills to collaborate with business, engineering, and data science teams.
  • You must have an eye for detail, good data intuition, and a passion for data quality.
  • You must appreciate the importance of great documentation and data debugging skills.

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