Software Engineer - Data Platform & Data Products

Apple Inc

Quick summary

Work type: On-site
Location: Austin, TX
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

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How this pay compares to similar roles

Similar $165k

$117k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $126,800–$203,650.

Based on 240 similar postings.

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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.

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At a glance

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

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As a Senior Engineer on Apple’s Data Solutions & Initiatives team within Worldwide Sales, 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 the entire organization, such as curated datasets, data services, and APIs. You will develop high-throughput batch and real-time streaming pipelines, ensuring they are resilient and observable, while also implementing automated data quality controls and access management. This role requires expertise in Python or Java/Scala/Go, proficiency with modern data stack tools like Flink, Kafka, dbt, Airflow, Spark, and Iceberg, as well as experience with cloud-native systems such as AWS/GCP and Kubernetes. Your work will significantly impact the efficiency and innovation of Apple’s data-driven initiatives across various business units.

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 in distributed systems.

What we're looking for

7+ years of software/data engineering experience focusing on data architecture
Strong programming skills in Python, Java, Scala, or Go
Proficiency in data modeling, SQL, partitioning strategies, 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 with cloud and containerized systems (AWS/GCP, Kubernetes, Docker)

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