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Apple

Data Engineer

5 days ago• Cupertino, CA
Viewed on February 1, 2026
Apply on company site

About Us

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

• Size: 10000+ employees
• Industry: Technology, Information Technology, Software, Consumer Goods & Services

View Company Profile:

Apple's Audio and Media Technologies Group (AMT) is looking for a talented and dedicated big data engineer to join our Data Engineering team. The Data Engineering team within Apple's Audio and Media Technologies (AMT) organization plays a critical role in supporting data-driven analytics by providing data collection, warehousing, and analytics at big data scale. Our team provides the infrastructure to power numerous trend and operational dashboards as well as other ad-hoc use cases in support of services like Apple TV, Apple Music, and Face Time. We are leveraging Generative AI and Machine Learning technologies to provide best-in-class data analytics and monitoring.

This role offers the opportunity to help design, enhance, and develop our very-high-volume processing pipeline. You'll work with talented engineers within our team as well as cross-functional teams in an agile and dynamic environment that values engineering excellence, creativity, and innovation, and you will be a key contributor to our next generation of processing pipeline and data analytics platform.

Description:

Our team leverages modern Data Engineering, Generative AI and Machine Learning technologies to deliver actionable insights. You will be:

• Collaborating with data scientists across functional teams to define and enhance performance metrics that provide valuable insights for stakeholders

• Building and maintaining:

• Ingestion pipelines for real-time data processing

• Real-time applications driving operational monitoring

• Batch ETL/ELT applications populating our data warehouse

• Applying Generative AI and Retrieval Augmented Generation (RAG) techniques to enhance data analytics capabilities

• Applying Machine Learning technologies for anomaly detection","responsibilities":"Tuning and scaling Apache Kafka producer/consumer, Spark Structured Streaming and Flink applications running in cloud environment

Managing and monitoring large scale data collection and analytics pipelines at the application level

Performing capacity planning to scale infrastructure and applications running on Kubernetes

Troubleshooting production issues and conducting performance analysis of distributed systems

Collaborating with cross-functional teams to ensure high availability and reliability of data pipelines

Keeping up with the latest data engineering trends and applying the corresponding technologies

Preferred Qualifications:

Production experience with Apache Kafka, Spark, or Flink

Working knowledge of Trino or similar distributed query engines

Experience building multi-agent AI systems or agentic workflows

Familiarity with Retrieval Augmented Generation (RAG) techniques working in conjunction with LLMs

Experience with creating and consuming Model Context Protocol (MCP) services

Minimum Qualifications:

Bachelor's degree in Computer Science or equivalent professional experience

Experience in building large scale distributed systems in Java/Python or similar languages

Proficient in SQL:

Experience with data warehouse architectures and dimensional modeling

Demonstrated ability to conduct performance analysis and troubleshoot large scale distributed systems

Strong collaboration skills with ability to understand complex architectures and work effectively across teams

Hands-on experience with Docker and Kubernetes:

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .

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