Senior Data Engineer, Find My

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $181,100–$318,400 / yr
Posted: 88 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $184k

This role $250k

$119k most similar roles pay here $340k

This role pays more than 93% of similar roles. Most pay $150,000–$217,725 — the shaded band above. At the midpoint, this role pays about $250k versus about $184k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer, Find My

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As a Senior Data Engineer on our dynamic team, you will play a pivotal role in shaping the future of Find My by designing and building robust analytics pipelines that drive innovative features. Your day-to-day responsibilities include translating complex analytics needs into high-quality data artifacts, ensuring data quality through rigorous monitoring, and balancing competing priorities to deliver scalable solutions. You will work with large datasets using tools like Spark and SparkSQL, and leverage your expertise in Java or Scala alongside Python to develop efficient data processing methods. Familiarity with cloud platforms such as AWS, GCP, or Azure is essential, along with experience in data pipeline orchestration and open table formats like Delta Lake or Apache Iceberg. Your contributions will directly impact millions of users, making this an exciting opportunity for those passionate about privacy-preserving data engineering and machine learning applications in analytics.

Skills

Spark SparkSQL Amazon Web Services Java Scala Python Kubernetes Delta Lake Apache Iceberg Superset CI/CD

What you'll do

Design and build analytics pipelines for new features impacting millions of users.
Translate complex analytics needs into high-quality, well-modeled data artifacts.
Develop methods to monitor data quality in large datasets and dimensional models.
Solve deep, complex data engineering problems ensuring solutions are scalable and reliable.
Balance competing priorities while working closely with cross-functional teams.

What we're looking for

BS in Computer Science, Data Engineering, or related field required.
10+ years experience working with large datasets and dimensional modeling.
Expertise in Spark and SparkSQL for data processing.
Proficiency in Java or Scala, plus experience with Python.
Experience with cloud platforms (AWS, GCP, Azure).
Knowledge of data pipeline orchestration tools essential.

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