Security Analytics Engineer L5

Netflix

Confirmed live today High trust

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $400,000–$680,000 / yr
Employment: Full-time
Posted: 23 days ago
Freshness: Confirmed live today

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k

This role $540k

$77k $745k

below market most similar roles pay here above market

This role pays more than 99% of similar roles. Most pay $151,475–$216,600 — the blue band above. At the midpoint, this role pays about $540k versus about $184k 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.

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At a glance

TL;DR · Security Analytics Engineer L5

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The Security Analytics Engineer L5 joins the Consumer Security Foundations team to build shared data infrastructure, pipelines, and metrics that protect members and products. You will perform hands-on analytics to identify consumer risk, specifically focusing on device trust, login protocols, and access patterns. Responsibilities include building data pipelines and dashboards that translate raw security data into actionable narratives for leadership, defining the consumer product risk portfolio, and collaborating with threat-modeling partners to measure emerging risks. You must possess domain expertise in fraud, account security, or authentication, alongside strong engineering fundamentals in data modeling and scalable pipelines. Required technical skills include SQL, Presto, Spark SQL, and Python. You will use these tools to create a unified view of risk and drive alignment across the broader security organization.

Skills

SQL Presto Spark SQL Python Data Modeling Data Pipelines Dashboards AI LLM Security Analytics threat-modeling

What you'll do

Build and maintain data pipelines and metrics that power security analytics and dashboards.
Analyze device and authentication signals to identify and surface consumer risk patterns.
Develop a unified risk narrative and dashboard for leadership and security teams.
Define and evolve the consumer product risk portfolio by quantifying ground-truth risk areas.
Shape the analysis and reporting for quarterly risk reviews and cost-of-fraud reports.
Partner with product teams to define and adopt security metrics for each product vertical.
Use data to shape how emerging risks identified during threat modeling are measured.
Design scalable data solutions and models that other security teams can build upon.

What we're looking for

Expert in analytics using SQL, Presto, Spark SQL, and Python.
Strong engineering fundamentals including well-written, tested, maintainable code and scalable data pipelines.
Demonstrated ability to turn raw data into clear, compelling narratives.
Comfort operating in ambiguity and building data models or dashboards from a 0-to-1 state.
Strong bias for action and ability to make decisions with incomplete information.
Quick to pick up new tools and techniques, including AI/LLM-based tools (preferred).
Domain expertise in consumer product security, such as fraud, account security, or authentication (preferred).
Fluency in how security risk gets measured and reported (preferred).

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