Data Engineer
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 FaceTime. 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
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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 .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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