Software Engineer - Data Platform & Data Products

Apple Inc

Quick summary

Work type: On-site
Location: Cupertino, CA
Salary: $181,100–$272,100 / yr
Posted: 51 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $165k

This role $227k

$109k most similar roles pay here $290k

This role pays more than 91% of similar roles. Most pay $126,800–$203,200 — the shaded band above. At the midpoint, this role pays about $227k versus about $165k 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 1723 open roles on FindRole.

Listed pay typically runs $162,500–$272,100 across 1398 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Software Engineer - Data Platform & Data Products

Apply Now Log in to save

As a Senior Engineer on Apple’s Data Solutions & Initiatives team within the Worldwide Sales organization, you will play a pivotal role in transforming centralized data management into a scalable, self-service data mesh. Your responsibilities include designing and building software and services that make data accessible and reliable for organizational-wide use, encompassing curated datasets, data services, and APIs. You will be hands-on with cloud-native systems, developing high-throughput batch and real-time streaming pipelines while ensuring rigorous software engineering practices such as unit testing, CI/CD, and observability are in place. The ideal candidate has extensive experience with Python or Java/Scala/Go, modern data stacks like Flink, Kafka, dbt, Airflow, Spark, and Iceberg, and a solid understanding of cloud and containerized systems. This role demands expertise in data governance, lineage, and metadata systems to drive innovation and impact at scale.

Skills

Python Java Scala Go SQL Flink Kafka dbt Airflow Spark Iceberg Apache Iceberg Delta Lake APIs Kubernetes Docker CI/CD AWS GCP

What you'll do

Design and maintain frameworks for self-service data product development.
Develop high-throughput batch and real-time streaming pipelines with resilience.
Implement automated data quality controls and access management.
Apply rigorous software engineering practices to ensure system reliability.
Tune complex SQL queries and optimize storage formats for performance.

What we're looking for

7+ years of software/data engineering experience focusing on data architecture
Strong programming skills in Python, Java, Scala, Go, with proficiency in SQL and query optimization
Hands-on experience with modern data stack technologies (Flink, Kafka, dbt, Airflow, Spark)
Experience implementing CI/CD, automated testing, and observability for data systems
Solid background in building APIs, services, and distributed systems
Expertise in cloud and containerized systems (AWS/GCP, Kubernetes, Docker)

Save