Data Engineering Manager, Video Engineering

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$206,200–$356,400 / yr
Posted
2 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $178k
This role $281k
$113k most similar roles pay here $382k

This role pays more than 94% of similar roles. Most pay $139,192–$216,062 — the shaded band above. At the midpoint, this role pays about $281k versus about $178k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 3513 open roles on FindRole.

Listed pay typically runs $165,800–$277,600 across 2730 roles with salary data.

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At a glance

TL;DR · Data Engineering Manager, Video Engineering

The Data Engineering Manager — Video Engineering joins the Video Engineering group to lead a team supporting data collection software, firmware, and hardware test environments for next-generation products. This role sits at the intersection of engineering, operations, and vendor management. You will manage a team of engineers and technical staff while overseeing day-to-day operations of test infrastructure and data pipelines. Key responsibilities include coordinating with vendors to source equipment, collaborating with safety and business partners to execute projects, and ensuring high-quality test data for ML model and algorithm testing and validation. Required skills include experience in hardware bring-up workflows, automation, sensor/instrumentation data collection, and data management practices. You must be proficient in prompt engineering and AI-assisted development workflows while translating technical requirements into actionable plans for both technical and non-technical stakeholders to support complex debugging and architectural trade-offs.

What you'll do

  • Manage the day-to-day operations of data collection software, firmware, and hardware test infrastructure.
  • Lead and mentor a team of engineers and technical staff in a high-performing environment.
  • Coordinate with vendors and suppliers to source, onboard, and maintain necessary equipment and services.
  • Oversee data acquisition pipelines including sensor data collection, quality validation, and storage infrastructure.
  • Translate complex technical requirements into actionable plans, timelines, and deliverables for diverse stakeholders.
  • Ensure the delivery of high-quality test data to support ML model and algorithm testing.
  • Develop and scale operational processes for test infrastructure, lab space, and staffing models.
  • Interpret and communicate data-driven insights to guide operational decisions and report to leadership.

What we're looking for

  • Bachelor of Science degree and at least 10 years of relevant industry experience.
  • At least 5 years in an engineering or technical role and 5 years in a people management or team lead capacity.
  • Experience with data collection software, firmware, hardware test environments, automation, and hardware bring-up workflows.
  • Knowledge of ML model/algorithm testing, data acquisition pipelines, and data management practices.
  • Ability to communicate data-driven insights and translate technical requirements for both technical and non-technical audiences.
  • Proficiency in prompt engineering and AI-assisted development workflows for debugging, architectural trade-offs, or automation.
  • Experience managing teams in hardware development, test/validation, or lab operations (preferred).
  • Track record of building operational processes, managing cross-functional projects, and vendor relationship management (preferred).

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