Data Engineer

Cupertino, CA 95014
  • Job Code
    200274774
Summary

Summary

Posted: Aug 19, 2021

Weekly Hours: 40

Role Number:200274774

Be at the forefront of the fight to improve health outcomes! Join the Health Strategic Initiative (HSI) team as...Summary

Summary

Posted: Aug 19, 2021

Weekly Hours: 40

Role Number:200274774

Be at the forefront of the fight to improve health outcomes! Join the Health Strategic Initiative (HSI) team as we explore novel ways to motivate and coach users to adopt healthier lifestyles. Our mission is to work with partners to deliver custom applications and campaigns to encourage, motivate, and reward our users to live their best, healthy lives. We will develop cutting-edge ML pipelines to learn user behavior and how best to modify it in the areas of activity, sleep, nutrition and wellness.

As a data engineer, you will play a key role in implementing and maintaining big data pipelines, ML and analytic functions, and experimentation frameworks.

Key Qualifications

  • Extract Transform Load (ETL) experience using Spark, Hadoop, or similar technologies
  • Workflow scheduling/orchestration such as Airflow or Oozie
  • Big data warehousing (RDB or MPP DB) such as Oracle, Teradata, Postgress, Hive
  • Strong Python programming skills with an understanding of data analytics, linear algebra, and ML libraries such as Numpy, Scipy
  • Experience with query APIs using JSON, ProtocolBuffers, or XML
  • ML model deployment, serving, and performance monitoring

Description

As a Data Engineer, your day-to-day tasks will be the following:
Implement and maintain end-to-end data pipelines with an understanding of ML lifecycles
Drive development of data products in collaboration with data scientists and analysts

Education & Experience

A background in computer science, mathematics, or similar quantitative field with a minimum of 2 years of professional experience; Masters preferred.

Additional Requirements

  • Health or behavioral domain experience a plus
  • Experience with AI/ML modeling using classical or deep learning a plus
  • Experience with on-device model deployment using CoreML or TFLite a plus
  • iOS app development skills a plus
  • Data visualization using Python, Tableau, or similar technologies a plus


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Apple, Inc.
Cupertino, CA 95014

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