Senior Data Engineer, Data Products

Apple Inc

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $184,700–$324,800 / yr
Posted: 1 day 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 $174k

This role $255k

$110k $348k

below market most similar roles pay here above market

This role pays more than 92% of similar roles. Most pay $133,117–$214,925 — the blue band above. At the midpoint, this role pays about $255k versus about $174k 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 3595 open roles on FindRole.

Listed pay typically runs $166,600–$277,600 across 2772 roles with salary data.

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At a glance

TL;DR · Senior Data Engineer, Data Products

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The Senior Data Engineer, Data Products joins the Data Products Engineering team to build, extend, and operate near-real-time and batch pipelines for Apple Ads. This role involves shipping features, schema changes, and backfills for petabyte-scale funnel and aggregate pipelines, including privacy-preserving critical systems. You will engineer secure, scalable data processing systems using Spark, Kafka, Flink, and Iceberg lakehouse concepts. Daily tasks include using AI coding agents to accelerate implementation, debugging, and testing while ensuring correctness and cost-efficiency. You must possess proficiency in Scala, Java, or Python and have a strong understanding of distributed data processing. The work focuses on developing next-generation, privacy-focused advertising capabilities and providing relevant data insights within a high-velocity, agile environment to support various services like the App Store and Apple Maps.

What does a Data Engineer earn in California?

Median $187556 from 39 postings across 22 companies.

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Skills

Spark Kafka Iceberg Python Scala Java Flink Data Modeling Agile Streaming Pipelines Data Engineering Data Quality Monitoring Root-cause Analysis

What you'll do

Engineer and operate secure, scalable data processing systems using Spark, Kafka, and Iceberg.
Deliver features, schema changes, backfills, and fixes with clean, well-tested, and well-documented code.
Support privacy-preserving critical pipelines and maintain high standards for data quality and reliability.
Own the design of pipeline components and refactor approaches to meet scale and correctness challenges.
Use AI coding agents to accelerate implementation, test coverage, and debugging while validating results for cost and privacy.
Contribute to on-call rotations, monitoring, and root-cause analysis for mission-critical applications.
Drive reliability and efficiency improvements to improve time to insight and system performance.

What we're looking for

5+ years of industry experience building distributed, scalable data pipelines.
Proficiency with modern programming languages such as Scala, Java, or Python.
Proficiency in distributed data processing technologies like Spark, Kafka, or Flink and data modeling with Iceberg lakehouse concepts.
Experience building and scaling systems on-premise and in the cloud.
Demonstrated productive use of AI coding tools in real delivery.
Strong computer science and data-engineering fundamentals with a track record of timely software delivery.
Experience owning the design and architecture of pipeline components or services (preferred).
Prior experience in the advertising industry is a huge plus (preferred).

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