Data Engineer (L5), Ads

Netflix

Confirmed live today High trust
Remote

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $200k
This role $495k
$84k $666k
below market most similar roles pay here above market

This role pays more than 91% of similar roles. Most pay $140,300–$260,554 — the blue band above. At the midpoint, this role pays about $495k versus about $200k 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.

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At a glance

TL;DR · Data Engineer (L5), Ads

The Data Engineer (L5) - Ads joins the Ads Data Engineering team to build a data ecosystem powering business decisions regarding ad impact. This role involves architecting, strengthening, and expanding core data products that scale the ads business. You will own critical portions of ads data products, modeling tables using software engineering and data warehouse best practices while developing large-scale data processing solutions. You will collaborate with stakeholders to ensure timely delivery of high-quality data for analysis, machine learning, and reporting. Required skills include proficiency in Python, Scala, or Java, and SQL for data exploration. You must have experience with distributed processing frameworks like Spark, Flink, Hive, or Hadoop, as well as data modeling, streaming, and batch processing within the advertising and data privacy domains.

What does a Data Engineer earn?

Median $159000 from 203 postings across 58 companies.

See salary data

What you'll do

  • Architect, strengthen, and expand core data products that scale the Ads business.
  • Envision and execute plans to integrate data elements from multiple sources into a cohesive whole.
  • Own critical portions of Ads data products from end to end.
  • Model tables using software engineering and data warehouse best practices.
  • Develop large-scale data processing solutions for batch and streaming data.
  • Create data products to serve analysis, machine learning, and reporting needs.
  • Develop best practices for governing datasets containing sensitive information.
  • Optimize existing workflows and build performant data pipelines for new features.

What we're looking for

  • Extensive background and strong technical expertise working with data at scale.
  • Hands-on experience building batch or streaming production data pipelines using distributed processing frameworks like Spark, Flink, or Hive/Hadoop.
  • Knowledge in data modeling and establishing data architecture across multiple systems.
  • Proficiency in programming languages such as Python, Scala, or Java.
  • Expertise in data exploration using SQL.
  • Experience with advertising data (preferred).
  • Experience with sourcing and modeling data from application APIs.
  • Knowledge of domains related to advertising, data privacy, and GDPR (preferred).

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