below marketmost similar roles pay hereabove market
This role pays more than
92%
of similar roles. Most pay
$201,500–$276,000
— the blue band above.
At the midpoint, this role pays about
$473k
versus about
$239k
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
165 open roles
on FindRole.
Listed pay typically runs
$388,000–$619,000
across 151 roles with salary data.
Software Engineer 5 - Ads Identity Graph joins the Ads Identity Graph team to develop Identity Resolution services and the Netflix Ads Identity Graph. This role involves building systems to deliver accurate ads to members by leveraging advanced targeting techniques while strictly adhering to data protection and member privacy requirements. You will design and maintain large-scale Identity Graphs, implementing both deterministic and probabilistic identity resolution in batch and near-real-time systems. Key responsibilities include integrating identifier collection flows into downstream pipelines, managing identity integrations with data clean rooms, and integrating identity signals with DSPs. Required technical skills include experience with Spark for big data, building high-throughput low-latency distributed systems, and understanding data governance, consent management, and regional privacy regulations like GDPR and CCPA.
What does a Software Engineer earn in New York?
Median $216000 from 262 postings across 62 companies.
Build systems to deliver targeted ads while respecting member privacy and consent choices.
Develop and maintain large-scale Identity Graphs and Identity Resolution services.
Implement deterministic and probabilistic identity resolution in batch and near-real-time systems.
Architect and integrate identifier collection flows into downstream pipelines in a privacy-conscious way.
Integrate identity signals with DSPs and other programmatic advertising platforms.
Manage identity integrations with data clean rooms for audience matching and measurement.
Embed data governance, privacy, and consent management requirements into system designs.
Build high-throughput, low-latency distributed systems using big data tools like Spark.
What we're looking for
Hands-on experience designing, developing, and maintaining large-scale Identity Graphs and Identity Resolution services for advertising or marketing technology.
Proven ability to implement and operate deterministic and probabilistic identity resolution in batch and near-real-time systems.
Experience architecting and integrating identifier collection flows into downstream identity pipelines in a privacy-conscious way.
Strong background in integrating identity signals with DSPs and other programmatic platforms.
Practical experience managing identity integrations with data clean rooms while preserving data minimization principles.
Deep understanding of data governance, privacy, and consent management within an identity framework.
Proven experience handling extremely large volumes of data with Spark and building high-throughput, low-latency distributed systems.
Knowledge of the ad tech landscape, including programmatic advertising and digital marketing trends.
Experience working in the CTV space (preferred).
Experience building machine learning modeled targeting with automated objective-based optimization (preferred).
Experience with targeting experimentation (preferred).
In-depth knowledge of regional privacy regulations like GDPR, CCPA, and CPRA (preferred).
Experience with Privacy Enhancing Technologies (PETs) (preferred).
Python
SQL
Machine Learning
Statistical Modeling
Data Analysis
Differential Privacy
Feature Engineering
Data Exploration
Optimization
Anonymization
Identity Modeling
Probabilistic Matching
large scale data
Data Science