Analytics Platform Engineering Manager

Apple Inc.

Cupertino (CA)

Hybrid

USD 206,000 - 356,000

Full time

3 days ago
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Benefits offered by this job

Medical and dental coverage
Employee stock programs
Restricted stock units (RSUs)
Discounted products and free services
Tuition reimbursement

Job summary

Apple Inc. is seeking a Software Engineering Manager for the Analytics Platform in Cupertino, CA. The role leads the Analytics Platform team, guiding technical vision and cross-functional collaboration to deliver large-scale analytics tools for rapid data analysis.

The position emphasizes team growth, ownership of projects, and driving platform innovation, with responsibilities spanning execution, testing, and roll-out of solutions.

Qualifications

  • 5+ years of experience in developing production software in C, C++, Python or Java.
  • 5+ years of experience with distributed systems (Hadoop, Spark, Kafka).
  • Excellent spoken and written communication skills.
  • Strong analytical thinking to solve challenging problems.

Responsibilities

  • Manage, mentor, and grow the team of software engineers.
  • Create and foster a healthy and collaborative culture, where individuals will be encouraged to take ownership of their projects and drive them to success.
  • Enable the continued innovation and progress within the platform through research and development.
  • Manage the plans for the execution, testing, and roll-out of the solutions.
  • Provide guidance in design and development of large-scale analytics tools for rapid data analysis.

Skills

C
C++
Python
Java
Hadoop
Spark
Kafka
Communication
Analytical thinking

Job description

Apple Inc. is seeking a Software Engineering Manager for the Analytics Platform in Cupertino, CA. The role leads the Analytics Platform team, guiding technical vision and cross-functional collaboration to deliver large-scale analytics tools for rapid data analysis.

The position emphasizes team growth, ownership of projects, and driving platform innovation, with responsibilities spanning execution, testing, and roll-out of solutions.

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