Data Engineer V, Ads

Netflix

Confirmed live yesterday High trust
Remote

Quick summary

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

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $201k
This role $495k
$92k most similar roles pay here $665k

This role pays more than 98% of similar roles. Most pay $147,775–$254,750 — the shaded band above. At the midpoint, this role pays about $495k versus about $201k 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 28 open roles on FindRole.

Listed pay typically runs $440,000–$750,000 across 27 roles with salary data.

Most-posted roles

View all roles at Netflix

At a glance

TL;DR · Data Engineer V, Ads

The Data Engineer (L5) - Ads joins the Ads Data Engineering team to build a data ecosystem that informs business decisions regarding ad impact. This role involves architecting, strengthening, and expanding core data products related to ad inventories, forecasting, targeting, and serving. You will own critical portions of these products, collaborating with stakeholders to model tables using software engineering and data warehouse best practices while developing large-scale processing solutions for analysis, machine learning, and reporting. The role requires expertise in Python, Scala, or Java, along with SQL for data exploration. You will work with big data technologies including Hadoop, Spark, Flink, Hive, Presto, and stream processing. Key responsibilities include managing batch and streaming pipelines, ensuring data quality, and navigating complexities like data privacy and GDPR within the advertising domain.

What does a Data Engineer earn?

Median $183138 from 214 postings across 58 companies.

See salary data

What you'll do

  • Architect, strengthen, and expand core data products that scale the Ads business.
  • Design and execute plans to integrate diverse data elements from multiple sources into a cohesive system.
  • Own critical portions of the ads data product lifecycle from inception to delivery.
  • Model tables using software engineering and data warehouse best practices to meet stakeholder needs.
  • Develop large-scale batch and streaming data processing solutions for high-quality data delivery.
  • Create data products that serve analysis, machine learning, and reporting requirements.
  • Establish best practices for the governance of datasets containing sensitive information.
  • Optimize existing workflows and build performant pipelines using distributed processing frameworks like Spark or Flink.

What we're looking for

  • Extensive background and strong technical expertise working with data at scale.
  • Experience building batch or streaming production data pipelines using frameworks like Spark, Flink, or Hive/Hadoop.
  • Proficiency in programming languages such as Python, Scala, or Java.
  • Expertise in SQL for data exploration and building performant data pipelines.
  • Knowledge of data modeling, architecture, and transformation for both batch and streaming systems.
  • Experience with Big Data technologies including Hadoop, Spark, Flink, Hive, and Presto.
  • Familiarity with advertising domains, data privacy regulations like GDPR, and sourcing data from application APIs.
  • Ability to communicate complex data problems clearly and collaborate with cross-functional teams.

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