Your work will span the full spectrum of data engineering challengesfrom designing fault-tolerant systems that process massive volumes of system telemetry to creating resilient analytics infrastructure that enables teams to identify and prevent stability issues before they impact users. Youll collaborate extensively with platform and product engineering teams across Apple to understand their diagnostic data needs and implement efficient scalable solutions that surface actionable insights. This includes building monitoring and observability tools that maintain system health across diverse computing environments while ensuring your data pipelines operate with the rock-solid stability that Apples reputation demands.
- Bachelors degree or equivalent work experience in Computer Science
- Streaming development experience using Apache Kafka and Apache Flink
- Programming expertise using Java and Python
- Familiarity with big data processing engines like Apache Spark or Trino
- Proven knowledge of distributed systems performant software engineering and caching strategies
- Thrives in a collaborative environment and is comfortable working cross-functionally
- Able to navigate ambiguity with self-reliance and resourcefulness
- Familiarity with NoSQL databases like Cassandra
- Experience with cloud DevOps using platforms like Kubernetes and S3
- Comfort with Java frameworks like Akka
- Some experience having developed native applications for Apple products
Your work will span the full spectrum of data engineering challengesfrom designing fault-tolerant systems that process massive volumes of system telemetry to creating resilient analytics infrastructure that enables teams to identify and prevent stability issues before they impact users. Youll collab...
Your work will span the full spectrum of data engineering challengesfrom designing fault-tolerant systems that process massive volumes of system telemetry to creating resilient analytics infrastructure that enables teams to identify and prevent stability issues before they impact users. Youll collaborate extensively with platform and product engineering teams across Apple to understand their diagnostic data needs and implement efficient scalable solutions that surface actionable insights. This includes building monitoring and observability tools that maintain system health across diverse computing environments while ensuring your data pipelines operate with the rock-solid stability that Apples reputation demands.
- Bachelors degree or equivalent work experience in Computer Science
- Streaming development experience using Apache Kafka and Apache Flink
- Programming expertise using Java and Python
- Familiarity with big data processing engines like Apache Spark or Trino
- Proven knowledge of distributed systems performant software engineering and caching strategies
- Thrives in a collaborative environment and is comfortable working cross-functionally
- Able to navigate ambiguity with self-reliance and resourcefulness
- Familiarity with NoSQL databases like Cassandra
- Experience with cloud DevOps using platforms like Kubernetes and S3
- Comfort with Java frameworks like Akka
- Some experience having developed native applications for Apple products
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