You will build large-scale data pipelines and backend services, and partner closely with teams across iCloud to turn business needs into data solutions, iterating quickly at every stage of the pipeline. You will have real ownership and influence over the data platform that powers iCloud analytics and drives decisions across our products.
Who you are:
You are tenacious, relentless and determined.
You are curious: always learning new technologies, quickly synthesizing new information, and understanding the why before the what.
You turn vague requirements into scalable data solutions.
You care about excellence and enjoy picking up new technologies and frameworks.
Minimum Qualifications
8+ years building efficient, large-scale data pipelines with Spark and other distributed data technologies (such as Hadoop, Presto, Flink or Druid).
Highly proficient in at least one of Java, Python or Scala, with strong SQL skills.
Deep expertise in data principles, data architecture and data modeling.
Solid grasp of the data lifecycle, including lineage, governance, privacy, retention and anonymity.
Hands-on experience working with LLMs and developing AI agents.
Bachelor's degree in Computer Science or Engineering, or equivalent work experience in data engineering.
Preferred Qualifications
Experience designing and building LLM-powered applications and intelligent agents at scale.
Experience in a complex, matrixed organization on cross-functional or cross-business projects.
Strong communication and collaboration skills, with the ability to lead discussions on technology strategy and approach.
A track record of improving how an organization uses data.