Data Engineer

Apple's Media, Graphics, and Compute Technologies Group (MGC) is looking for a talented and dedicated big data engineer to join our Data Engineering team. The Data Engineering team within the MGC 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., 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

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

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

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $126,800 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.