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Software Engineer/ Data Engineer

Ref: US_EN_6_971575_1466084

Posted on 21 September 2022
Job Location
Contract Type

We are looking for a hardworking and passionate engineer 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 the company’s hardware.

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


As a Data Engineer in this central role you will:

  • Facilitate the engineering of large scale Studies involving the Company’s devices.
  • 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 of the Company’s 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.

Additional Requirements

  • Supporting data collection, curation and data provenance when working with machine learning models.
  • Exposure to Signal Processing, numeric methods and data collection from embedded systems
  • Experience with statistical inference methods for scientific experimentation

Equal Opportunity Employer/Veterans/Disabled

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The Company will consider qualified applicants with arrest and conviction records

If you’d like to have a talk about this role or other similar positions, then get in touch!

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