We collect, analyze, and produce insights from diagnostic and usage data from Apple devices. Our data is used to improve products and services and inform the overall direction of Apple platforms.
Our engineering responsibility spans device, data collection, compute, and query and visualization interfaces. As part of the Data Analytics team, you will similarly work cross-functionally to design, build, and iterate on our stream processing and ingestion pipeline.
Collaborating with data scientists and engineers across Apple, you will capture and refine requirements, validate design decisions, and implement. This role has high visibility and impact within the Apple Software Engineering organization.
Requirements
Comfortable and adaptable in a dynamic/informal environment with shifting priorities
Excellent verbal and written communication skills
Self-motivated and dedicated with creative and critical thinking capabilities
Big data query engine production experience (Presto/Trino/Athena, etc.)
BS degree in Computer Science, equivalent field or equivalent work experience
5+ years SW development experience
Have worked on large distributed systems, ideally on a public cloud platform like AWS
Extensive experience with container-based orchestration (Kubernetes, EC2, Mesos, etc.)
Practical knowledge of queue/stream consumers like Flink or Kinesis
Exposure to profiling and optimization of scale compute and data pipelines
Proficiency writing/maintaining large-scale Iceberg or partitioned Parquet
Unwavering commitment to CI/CD
Pay & Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Additional Information
Are you ready to embrace massive scale? Undaunted ingesting petabytes of raw data each day from more than a billion customer devices?
Apple's Data Analytics team is looking for a motivated and driven distributed systems engineer to work on our device telemetry platform. We need a talented software developer to join our tight-knit cross-functional engineering team, building services and applications to parse, persist, and understand how Apple customers use their devices.
Apple · San Diego, CA