Senior Data Engineer

Apple Inc

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Quick summary

Work type: On-site
Location: San Francisco, CA
Salary: $150,400–$277,600 / yr
Posted: 49 days ago
Freshness: Confirmed live yesterday
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–$198,900 — 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 will join the cybersecurity software engineering team to develop and support services underpinning mission critical information security capabilities. This role involves designing and optimizing data models, building data intensive systems, and delivering product objectives through close collaboration with engineering and partner teams. The successful candidate will design and implement relational and medallion data architectures while developing production data pipelines at scale. Required technical skills include Spark expertise and proficiency in JVM languages such as Scala or Java, along with Golang or Swift. The work focuses on solving complex data challenges within hyper-scale distributed computing environments. Additional relevant competencies include knowledge of ML/AI workflows, feature engineering, semantic models, knowledge graphs, and cloud compute environments like OpenStack, AWS, and Azure.

What does a Data Engineer earn in California?

Median $187700 from 43 postings across 23 companies.

See salary data

Skills

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

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 and optimize data models for data-intensive systems.
Engineer mission-critical information security services using Apache Spark.
Implement ML/AI workflows and feature engineering for analytics and reporting.
Develop semantic models and knowledge graphs to solve complex data challenges.
Conduct code reviews and mentor engineers on technical best practices.
Apply data quality frameworks and validation techniques to ensure data integrity.

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.
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).
Familiarity with ML/AI workflows, feature engineering, knowledge graphs, and cloud compute environments (preferred).
Experience mentoring engineers, conducting code reviews, and knowledge of data quality and governance (preferred).

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