Senior Data Engineer

Apple Inc

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Quick summary

Work type: On-site
Location: Sunnyvale, CA
Salary: $150,400–$277,600 / yr
Posted: 48 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $163k

This role $214k

$98k $297k

below market most similar roles pay here above market

This role pays more than 81% of similar roles. Most pay $126,800–$199,175 — the blue band above. At the midpoint, this role pays about $214k versus about $163k 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 3564 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2760 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer

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The Senior Data Engineer joins the cybersecurity software engineering team to develop services underpinning mission critical information security capabilities. This role involves designing and optimizing data models, building data intensive systems, and developing production data pipelines at scale. The engineer will collaborate with cross-functional teams to solve complex data challenges and deliver product objectives within hyper-scale distributed computing environments. Required technical expertise includes Spark, JVM languages such as Scala or Java, Golang, or Swift, and experience with relational and medallion data architectures. Preferred skills include knowledge of ML/AI workflows, feature engineering, knowledge graphs, and cloud compute environments like OpenStack, AWS, and Azure. The position focuses on technical excellence, data quality frameworks, and data governance to support state-of-the-art features in the cybersecurity domain.

What does a Data Engineer earn in California?

Median $187700 from 43 postings across 23 companies.

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Skills

Apache Spark Scala Java Golang Swift AWS Azure OpenStack Data Modeling Data Pipelines Knowledge Graphs ML/AI Feature Engineering Data Governance Data Quality Frameworks

What you'll do

Design and implement relational and medallion data architectures.
Build and maintain production data pipelines at a hyper-scale distributed level.
Develop services that underpin mission-critical information security capabilities.
Design and optimize complex data models for data-intensive systems.
Implement ML/AI workflows and feature engineering to support analytics and reporting.
Conduct code reviews and mentor engineers on technical best practices.
Apply data quality frameworks and validation techniques to ensure data integrity.
Manage data governance and compliance frameworks across the organization.

What we're looking for

4 years of expertise in designing and implementing relational and medallion data architectures.
4 years of expertise in the design and implementation of production data pipelines at scale.
4 years of proficiency with JVM languages (Scala or Java preferred), Spark, Golang, or Swift.
Spark expertise is a prerequisite.
5+ years of experience in data engineering and expertise with data modeling (preferred).
5+ years of experience with JVM languages: Java or Scala (preferred).
5+ years of experience with big data platforms (preferred).
Experience with cloud compute environments like OpenStack, AWS, and Azure (preferred).

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