Sr. Health Sensing Data Engineer


Job Overview

Key Qualifications

  • Strong software development skills, with a proficiency in both Object Oriented and Functional Python required
  • Demonstrated skill and experience with parallel computing systems such as PySpark and SparkSQL
  • Familiarity working with systems such as blob storage, elastic compute and virtual instances
  • Familiarity with Software Development Life Cycles and the tools and methodologies that support them such as git, continuous integration, issue tracking, code reviews, quality assurance processes and scheduling.
  • Pro-active communicator and collaborator, comfortable working within a distributed team
  • Description

    As a Data Engineer in this central role you will:- Facilitate the engineering of large scale Human Interface Device studies involving the Apple Watch and iPhone – Be directly responsible for the health study data collection and processing pipelines – Work with the Data Engineering team to develop general use tooling – Collaborate with Algorithm Engineering on data collection, processing, and distribution – Collaborate with Quality Engineering and Study Operations to design and implement frameworks to enable pipeline validation, monitoring and study management. Your work will directly impact the development of health-related features across multiple Apple hardware platforms. The ideal candidate has demonstrable experience solving novel problems with unique data streams using various tools and strategies including parallel computing systems.

    Education & Experience

    Bachelor/Masters Degree in Computer Science, 3+ years of programming experience, 1+ year distributed computing with Spark.

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