Senior Software Data Engineer, App Store

Apple Inc

Quick summary

Work type: On-site
Location: San Francisco, CA
Salary: $181,100–$272,100 / yr
Posted: 29 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $192k

This role $227k

$133k most similar roles pay here $287k

This role pays more than 76% of similar roles. Most pay $157,425–$226,600 — the shaded band above. At the midpoint, this role pays about $227k versus about $192k 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 638 open roles on FindRole.

Listed pay typically runs $171,600–$272,100 across 505 roles with salary data.

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At a glance

TL;DR · Senior Software Data Engineer, App Store

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As a Senior Software Data Engineer on Apple's App Store Data team, you will lead the design and delivery of compliance-critical data products, including scalable pipelines and analytical outputs that meet strict regulatory and privacy requirements. Your day-to-day responsibilities include developing distributed systems using technologies like Spark and Kafka for high-throughput processing, implementing monitoring and observability features, and transforming large-scale datasets into analytics-ready formats with Python, Scala, or Java. You will collaborate closely with cross-functional teams to translate complex domain requirements into precise data model specifications and drive large-scale quantitative analysis projects from start to finish. Success in this role demands expertise in big data technologies, proficiency in AI coding assistants for architecture exploration and documentation, and a strong commitment to privacy-first engineering practices at scale.

Skills

Python Scala Java Spark Kafka Airflow Kubernetes CI/CD Hadoop Iceberg Trino Superset Tableau ML SQL AI coding assistants Data modeling Distributed systems Analytics engineering

What you'll do

Lead the design and build of scalable data pipelines ensuring reliability through CI/CD processes.
Develop data architectures using distributed systems like Spark and Kafka for high-throughput processing.
Implement monitoring and observability for production data systems to ensure automated recovery.
Clean, transform, and model large-scale data into analytics-ready datasets using Python or Scala.
Contribute to quantitative analysis projects from data quality through statistical analysis and visualization.

What we're looking for

7+ years of experience building production-grade distributed data pipelines and systems
Strong programming skills in Scala or Java, proficiency in Python and SQL
Hands-on experience with big data technologies like Hadoop, Spark/Flink, Kafka, Airflow
Proficiency in data modeling, structured/unstructured data analysis, predictive modeling techniques
Active daily use of AI coding assistants for architecture exploration and pipeline generation
Excellent communication skills; proven success partnering with cross-functional stakeholders