Software Data Engineer

Apple Inc

Confirmed live yesterday High trust

Quick summary

Work type
On-site
Location
Cupertino, CA
Salary
$150,400–$277,600 / yr
Posted
29 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $170k
This role $214k
$109k most similar roles pay here $296k

This role pays more than 78% of similar roles. Most pay $127,325–$212,625 — the shaded band above. At the midpoint, this role pays about $214k versus about $170k 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 1984 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1590 roles with salary data.

Most-posted roles

View all roles at Apple Inc

At a glance

TL;DR · Software Data Engineer

As a Software Data Engineer on the Data Engineering Platform team, you will join the Analytics Platforms & Experiences group to build foundational backend services and developer tools. You will design and develop scalable systems that integrate big data technologies with microservices for both real-time and batch data processing. Your daily work involves collaborating with internal teams to improve platform capabilities, creating automation systems, and developing intuitive tools to streamline analytics pipelines. The role requires proficiency in Python, Java, Go, or Scala, along with experience in distributed systems and big data technologies like Spark, Kafka, Hadoop, Flink, or Airflow. You will also work with containerization tools such as Docker and Kubernetes while leveraging AI-driven development practices to enhance code quality and engineering productivity across the organization's core service infrastructure.

What you'll do

  • Design and build scalable backend services that integrate big data technologies with microservices.
  • Develop real-time and batch data processing systems at scale.
  • Create intuitive developer tools and automation systems to reduce operational friction.
  • Build infrastructure for data quality, observability, and monitoring in data pipelines.
  • Implement data orchestration frameworks and pipeline management tools.
  • Integrate AI-driven development practices to improve engineering productivity and code quality.
  • Develop internal platform solutions that enable teams to build and operate analytics pipelines efficiently.

What we're looking for

  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
  • 3+ years of software engineering experience building and shipping production-quality code.
  • Strong proficiency in at least one programming language such as Python, Java, Go, or Scala.
  • Understanding of data engineering fundamentals including data pipelines, batch processing, and real-time data streaming.
  • Hands-on experience designing and building backend services and APIs.
  • Working knowledge of distributed systems and big data technologies such as Spark, Kafka, or Hadoop.
  • Exposure to AI-driven development practices and a strong interest in how AI shapes software and data engineering.
  • Experience with microservices, cloud platforms (AWS, GCP, Azure), containerization (Docker, Kubernetes), or orchestration tools like Airflow (preferred).

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