Senior Data Engineer

Apple Inc

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Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $142,300–$263,300 / 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 $160k

This role $203k

$98k $281k

below market most similar roles pay here above market

This role pays more than 80% of similar roles. Most pay $126,800–$194,119 — the blue band above. At the midpoint, this role pays about $203k versus about $160k 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 3498 open roles on FindRole.

Listed pay typically runs $174,200–$277,600 across 2693 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 developing production data pipelines at scale. The engineer will collaborate with cross-functional teams to solve complex data challenges and deliver product objectives. Required technical skills include expertise in Spark, JVM languages such as Scala or Java, Golang, or Swift, and experience with relational and medallion data architectures. The position also involves working with big data platforms, cloud compute environments like OpenStack, AWS, and Azure, and potentially utilizing ML/AI workflows, knowledge graphs, and data quality frameworks to support analytics and reporting within a hyper-scale distributed computing environment.

What does a Data Engineer earn?

Median $160500 from 198 postings across 59 companies.

See salary data

Skills

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

What you'll do

Design and implement relational and medallion data architectures.
Develop and deploy production data pipelines at a hyper-scale.
Build and optimize data-intensive systems using Apache Spark.
Design and optimize complex data models for mission-critical security services.
Develop ML/AI workflows and feature engineering for analytics and reporting.
Implement data quality frameworks and validation techniques.
Conduct code reviews and mentor engineers on technical best practices.
Manage data governance and compliance frameworks for information security.

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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