Engineering Manager, Data Platform Orchestration

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Not verified last checked Jun 13, 2026

Salary

$436K-$791K not verified - source not recorded; timestamp not recorded

401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

Was this benefit information wrong? Tell us.

Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

448% above the BLS role benchmark for data and ml aggregate.

Posted salary is far from this role benchmark; treat it as low confidence.

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Engineering Manager, Data Platform Orchestration Los Gatos,California,United States of America At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what's next. The Analytics Platform and Experience (APeX)) team is responsible for providing orchestration and compute technologies to ETL and to access nearly 1 ExaByte of data in the Netflix Warehouse. It is also responsible for the underlying table format, Iceberg (an industry-standard table format and an open-source project originating in this team), metadata, security, and the data lifecycle (janitoring, compaction, etc.). The team also owns the end-to-end development experience for data practitioners and provides scalable, self-serve analytics capabilities and platforms for Analytics Engineers and business users. Within APeX, the Orchestration team builds and operates a reliable, cost-efficient, and easy-to-use orchestration platform that powers Netflix's analytics and machine learning workflows. We enable scheduling, orchestrating, and executing big data workflows at scale-supporting the backbone of how data is produced, transformed, and consumed across Netflix. At the core of this platform is Maestro , our next-generation workflow orchestration system. Maestro is a fully managed workflow-as-a-service (WaaS), designed and built in-house to meet Netflix's scale and complexity. Maestro serves thousands of users-including data scientists, data engineers, ML engineers, and software engineers-powering hundreds of thousands of workflows

Read the full description at explore.jobs.netflix.net. FewerJobs shows a source-linked preview and links to the original posting.