Software Data Engineer

Apple Inc

Quick summary

Work type: On-site
Location: Seattle, WA
Salary: $139,500–$258,100 / yr
Posted: 56 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $166k

This role $199k

$111k most similar roles pay here $274k

This role pays more than 72% of similar roles. Most pay $126,800–$206,000 — the shaded band above. At the midpoint, this role pays about $199k versus about $166k 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 Data Engineer

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As a Software Data Engineer at Apple’s Analytics Platforms & Experiences (APX) Bedrock team, you will be part of a dynamic group responsible for building foundational data engineering systems that enhance efficiency and reliability across the organization. Your day-to-day responsibilities include designing and maintaining Java-based backend services and APIs, optimizing data processing pipelines with distributed computing frameworks like Apache Spark or Flink, and implementing robust monitoring systems to ensure high-quality data standards. You will work closely with senior engineers to deliver scalable solutions, own database design decisions for both relational and non-relational stores, and participate in operational tasks such as on-call rotations and incident response. The role requires strong experience in Java programming, SQL databases, and distributed data technologies, along with familiarity with AI-powered development tools and container orchestration systems like Kubernetes.

Skills

Java Apache Spark Apache Flink Hadoop HDFS Kafka SQL Apache Airflow Scala Go Python Kubernetes Apache Kafka AI-powered development tools RESTful services RPC-based services relational databases non-relational databases NoSQL databases

What you'll do

Design, develop, and maintain Java-based backend services for metadata collection and dataset lifecycle management.
Build and optimize data processing pipelines using distributed computing frameworks like Apache Spark or Flink.
Implement systems for monitoring dataset health and enforcing quality standards across the organization.
Write clean, well-tested code in Java and own database design decisions including schema and indexing strategies.
Participate in operational responsibilities such as on-call rotations and system health monitoring.
Collaborate with peer teams to integrate and deliver cohesive platform capabilities.

What we're looking for

3+ years experience building data applications, backend services, or platform services
Proficient in Java for production-level programming, including RESTful/RPC-based services
Expertise in relational databases with schema design, data modeling, and query optimization
Experience with distributed data technologies like Apache Spark, Flink, Hadoop, Kafka
Familiarity with workflow orchestration tools such as Apache Airflow
Ability to build, test, and maintain reliable software systems in production environments