This role pays more than
99%
of similar roles. Most pay
$149,018–$262,512
— the shaded band above.
At the midpoint, this role pays about
$614k
versus about
$206k
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.
The Engineering Manager, Data Platform Orchestration joins the Analytics Platform and Experience team to build and operate a reliable, cost-efficient orchestration platform for large-scale data and machine learning workflows. This leader will manage a geographically distributed engineering team, fostering growth while ensuring high availability and performance for critical systems like Maestro, an in-house workflow-as-a-service. Responsibilities include defining technical strategy, managing debt, and partnering across teams to deliver scalable analytics capabilities. The role involves developing ETL frameworks for incremental processing and implementing automated error remediation using GenAI tools like Pensive and Nightingale. Ideal candidates possess experience with high-scale platform systems and may have familiarity with technologies such as Spark, Trino/Presto, Snowflake, BigQuery, RedShift, Druid, or LanceDB. The work addresses the complex challenge of managing data lifecycle, metadata, and security for massive datasets within a warehouse environment.
What does a Engineering Manager earn in California?
Median $290250 from 64 postings across 19 companies.
Data Engineering
Spark
Flink
Kafka
Apache Iceberg
Snowflake
Machine Learning
AI
Data Pipelines
Data Architecture
Data Quality
Scalability
Software Engineering Best Practices
Python
TypeScript
JavaScript
System Design
Data Engineering
ETL
Distributed Systems
Machine Learning
AI Application Engineering
Data Pipelines
Human-in-the-loop
Multi-modal Models
Analytics
Dashboards