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# Software Data Engineer

- **Company:** Apple Inc.
- **Location:** Cupertino, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Batch Processing, Big Data, Software Quality, Information Engineering, Programming Tools, Distributed Systems, Apache Hadoop, Python (Programming Language), Software Engineering, Scripting, Apache Spark, Backend, Containerization, Information Technology, Apache Flink, Production Code, Apache Kafka, Stream Processing, Data Pipelines, Docker, Golang, Programming Languages, Microservices
- **Published:** August 14, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3353290228&tx=ZT2625TTD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's degree in Computer Science, Software Engineering, or a related technical field
 * 3+ years of software engineering experience, with a solid foundation in 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 with a genuine enthusiasm for leveraging AI tools to improve engineering productivity and code quality
 * A curious, self-driven mindset with a strong interest in how AI is shaping the future of software and data engineering
 * Strong problem-solving ability with a collaborative approach to working across teams
 * Clear and concise communicator who can translate technical concepts for diverse audiences

Preferred Qualifications

 * Hands-on experience with big data technologies such as Apache Spark, Kafka, Flink, or Airflow
 * Some exposure to microservices architecture and cloud platforms such as AWS, GCP, or Azure
 * Familiarity with data orchestration frameworks and pipeline management tools such as Airflow or Prefect
 * Basic experience with containerization tools such as Docker and Kubernetes
 * Awareness of data quality, observability, and monitoring concepts in data pipelines
 * Some exposure to developer tooling, internal platforms, or automation scripting
 * Ability to ramp up quickly, take ownership of tasks, and contribute meaningfully in a collaborative team environment

## Description

As part of the Data Engineering Platform (DEP) team, you will help design and build the core platform capabilities that teams across Apple rely on every day. You will collaborate closely with experienced engineers, contribute to scalable backend services that integrate big data technologies with microservices, and help shape intuitive developer tools and automation systems that reduce friction and drive productivity. This is a great opportunity for an engineer who wants to grow fast, work on hard problems, and do the best work of their life at Apple.


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