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Software Data Engineer
$90,000
per year
Job Description
Our team is growing! Here is your opportunity to come and join an exciting engineering team responsible for building next-generation health sensors and features. The Core Motion team is looking for hardworking and passionate engineers with expertise in data pipelines to support health study engineering. This is an integral role where you will help design, develop, and support high quality, scalable data platforms and applications that enable health sensors and health features for Apple hardware.
As a Data Engineer in this central role you will: Facilitate the engineering of large scale Core Motion User 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.
Bachelor/Masters Degree in Computer Science 3+ years of programming experience 1+ year distributed computing with Spark 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 Exposure to Signal Processing, numeric methods and data collection from embedded systems Experience with statistical inference methods for scientific experimentation
Description
As a Data Engineer in this central role you will: Facilitate the engineering of large scale Core Motion User 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.
Minimum Qualifications
Bachelor/Masters Degree in Computer Science 3+ years of programming experience 1+ year distributed computing with Spark 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
Preferred Qualifications
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 Exposure to Signal Processing, numeric methods and data collection from embedded systems Experience with statistical inference methods for scientific experimentation
Company Information
Location: Cupertino, CA
Type: Hybrid
Badges:
Changemaker
Flexible Culture