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Data Engineer (Data Products - Apple Ads)

Apple· Software and Services
Apply on company site
Cupertino$129.3k - $194.7kFull-timePosted 1w ago

About the role

Data Engineer position within Apple Ads, focusing on privacy-preserving, scalable data and ML systems to support advertising across Apple services. Role emphasizes real-time, near-real-time, and batch data pipelines, collaboration with product managers, and applying AI/LLM tooling to accelerate development while ensuring correctness and cost efficiency.

Responsibilities

  • Engineer secure, scalable data and machine learning systems across real-time, near-real-time, and batch execution contexts using Spark, Kafka, Iceberg, and beyond
  • Own the design and delivery of core components — from pipeline architecture to ML model development, training, and deployment — including support for privacy-preserving, mission-critical infrastructure
  • Drive reliability, performance, and efficiency improvements across your systems, including schema changes, backfills, and the experimentation and testing infrastructure (e.g. A/B testing) needed to validate them
  • Apply a strong understanding of the intersection between business, analytics, and engineering, with a proactive focus on reusable, efficient solutions
  • Use LLMs and AI coding agents (e.g. Claude, Gemini) daily to accelerate implementation, testing, and debugging — continually validating every result for correctness, privacy, and cost
  • Collaborate with a team of world-class engineers and product managers; grow through code and design reviews, and mentor others as you gain seniority
  • Contribute to on-call, monitoring, and continuous reliability and efficiency improvements; more senior engineers help lead incident response and root-cause analysis
  • Work effectively in a rapidly changing, sprint-based Agile environment, and contribute to a culture that emphasizes reliability, resiliency, extensibility, scalability, and productivity.

Qualifications

  • 1+ years of industry experience building scalable data pipelines and machine learning systems, or other distributed software, at scale
  • Strong computer science and software engineering fundamentals
  • Proficiency in modern programming languages such as Rust, Python, Java, or Scala
  • Experience with distributed systems and data processing technologies (e.g. Spark, Kafka, Flink)
  • Experience building and scaling systems on premise and in the cloud
  • Solid understanding of data structures, algorithms, and system design principles
  • Ability to communicate effectively with cross-functional technical and non-technical teams
  • Hands-on experience using LLMs (e.g. Claude, Gemini) in daily engineering work — for code generation, review, debugging, test writing, agentic loops, and evaluation systems— to continually improve software engineering skills and velocity
  • Excellent collaborative skills
  • BS/MS in Computer Science, Software Engineering, Distributed Systems, or a related field
  • Experience with NoSQL datastores (e.g. Cassandra, Keyspaces, ElastiCache)
  • Experience with lakehouse and Iceberg table formats
  • Experience with anomaly detection
  • Experience with A/B experimentation frameworks
  • History of driving reliability, efficiency, or cost improvements, and mentoring other engineers
  • Comfortable working in a rapidly changing environment with ambiguous requirements
  • Prior experience in the advertising industry is a huge plus

Skills

Required:SparkKafkaIcebergPythonLLMs / AI coding agents
Nice to have:RustJavaScalaNoSQL datastores

Benefits

  • Comprehensive medical and dental coverage
  • retirement benefits
  • discounted products and free services
  • reimbursement for certain educational expenses — including tuition
  • discretionary bonuses or commission payments as well as relocation
  • Apple employee stock programs (discretionary RSUs and Employee Stock Purchase Plan)
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

AirPods Max 2Apple ArcadeApple CardApple Fitness+Apple MusicApple TVApple TV+Apple Watch Series 11
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