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Senior Data Engineer, Data Products

Apple· Data Products Engineering
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Cupertino, California$184.7k - $324.8kFull-timePosted 1w ago

About the role

Senior data engineer role focused on building, extending, and operating near-real-time and batch data pipelines for Apple Ads. Responsible for shipping features and pipeline improvements, ensuring reliability, scalability, and privacy-preserving processing, with opportunities to mentor others and own design components depending on level. AI-native environment with emphasis on accuracy, privacy, and collaboration with product managers and engineers.

Responsibilities

  • Engineer and operate secure, scalable data processing systems across real-time, near-real-time, and batch contexts using Spark, Kafka, and Iceberg
  • Deliver features, schema changes, backfills, and fixes with clean, well-tested, well-documented code, and help support privacy-preserving critical pipelines
  • Own the design of pipeline components, define and refactor approaches to meet correctness and scale challenges, and drive reliability and efficiency improvements (depending on level)
  • Use AI coding agents to accelerate implementation, test coverage, and debugging, validating every result for correctness, privacy, and cost
  • Apply understanding of the intersection between business, analytics, and engineering to improve efficiency and time to insight
  • Contribute to on-call, monitoring, and continuous improvement of pipeline reliability and efficiency; senior engineers lead incident response and root-cause analysis
  • Collaborate with a team of data engineers and product managers; grow through code and design reviews, mentor others
  • Work effectively in a sprint-based, agile environment and contribute to reliability, resiliency, extensibility, scalability, and productivity
  • Own design and architecture of pipeline components or services (for senior levels)
  • Experience with near-real-time or streaming pipelines, event-driven ingestion, deduplication, parity and reconciliation, and lakehouse formats at scale
  • Drive reliability, efficiency, or cost improvements and mentor other engineers
  • Contribute to open source distributed system projects
  • Communicate effectively with cross-functional technical and non-technical teams
  • Adapt to rapidly changing requirements and on-call rotations
  • Prior experience in the advertising industry is a plus

Qualifications

  • 5+ years of industry experience building distributed, scalable data pipelines
  • Proven track record of successful and timely software delivery with complex dependencies
  • Innovative, critical thinking and troubleshooting skills
  • Proficiency in Scala, Java, or Python and ability to learn new technologies quickly
  • Strong computer science and data engineering fundamentals
  • Proficiency with distributed data processing technologies (Spark, Kafka, Flink) and data modeling with Iceberg lakehouse concepts
  • Experience building and scaling systems on premise and in the cloud
  • Demonstrated productive use of AI coding tools in real delivery
  • Passion for data quality, clean code, documentation, cost-saving, and operational excellence
  • Excellent collaboration skills
  • Experience owning the design and architecture of pipeline components or services
  • Experience with near-real-time or streaming pipelines and lakehouse table formats at scale
  • History of reliability, efficiency, cost improvements, and mentoring
  • Contributions to open source distributed system projects
  • Ability to communicate with cross-functional teams
  • Comfort with rapidly changing requirements and on-call duties
  • Advertising industry experience is a plus

Skills

Required:SparkKafkaIcebergScala/Java/PythonData modeling

Benefits

  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Discounted products and free services
  • Educational expense reimbursement including tuition
  • Potential discretionary bonuses or commission payments
  • Relocation assistance
  • Apple Employee Stock Purchase Plan (eligibility)
  • Discretionary employee stock awards (RSUs)
Last updated Oct 16, 2026. Interested? Apply on the company site.

About Apple

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