Data Engineer (L5) - Ads

Netflix

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$380,000–$610,000 / yr
Posted
22 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $176k
This role $495k
$69k most similar roles pay here $668k

This role pays more than 99% of similar roles. Most pay $126,800–$224,562 — the shaded band above. At the midpoint, this role pays about $495k versus about $176k 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 117 open roles on FindRole.

Listed pay typically runs $388,000–$619,000 across 113 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Data Engineer (L5) - Ads

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Join the Ads Data Engineering team as a senior or staff-level data engineer to build a robust data ecosystem that powers Netflix’s understanding and decision-making regarding ad impacts. You will architect and expand core data products by collaborating with stakeholders to model tables and develop large-scale data processing solutions, ensuring timely delivery of high-quality data for analysis, ML, and reporting needs. Ideal candidates have extensive experience in advertising data at scale, expertise in building performant data pipelines using technologies like Spark, Flink, or Hive, and a strong understanding of data privacy regulations such as GDPR. This role requires hands-on experience with data warehousing, modeling, and transformation for both batch and streaming processes, along with proficiency in Python, Scala, Java, and SQL.

Skills

Python Spark Flink Hadoop Presto SQL Kafka DataWarehousing CI/CD Git Jenkins Docker AWS GoogleCloudPlatform Azure Terraform Kubernetes PostgreSQL Snowflake BigQuery Hive

What you'll do

  • Architect and expand core data products to scale Netflix's Ads business.
  • Own critical portions of Ads data products by developing large-scale data processing solutions.
  • Model tables using best practices in software engineering and data warehousing.
  • Develop governance practices for datasets with sensitive information.
  • Partner with data scientists, analytics engineers, and ML practitioners to create intuitive data products.

What we're looking for

  • Extensive experience working with large-scale data at a high technical level
  • Strong background in building batch or streaming production data pipelines using distributed processing frameworks like Spark, Flink, or Hadoop
  • Expertise in data modeling and establishing data architecture across multiple systems
  • Hands-on experience with advertising data and understanding of privacy regulations like GDPR
  • Ability to create clear, simple, and understandable code while managing complex projects independently
  • Passion for delivering high-quality data that impacts business decisions and drives growth
  • Collaborative mindset to work effectively with data scientists, analytics engineers, and machine learning practitioners

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