Health Systems Data Quality Engineer

Cupertino, California, United States
Hardware

Summary

Posted:
Role Number:200540148
Be part of the engineering team responsible for delivering next-generation health related technologies. We are looking for engaging and dedicated individuals to help ensure robustness and stability of large scale data processing pipelines and data monitoring tools. In this technically exciting role you will work together with data science, data engineering and quality assurance teams to build stable and high performance testing, monitoring and analytical services for scalable data platforms.

Key Qualifications

  • Strong software development skills, with high proficiency in Python
  • Experience with Spark and PySpark
  • Experience with Apache Airflow and Pandas/Numpy
  • Experience with infrastructure test automation and CI/CD
  • Experience with data visualization
  • Familiarity with cloud-based infrastructure such as AWS, Airflow and Docker
  • Practical experience with SQL and NoSQL databases (MySQL, Postgres, MongoDB, Cassandra, HBase, etc)
  • Software programming/data-engineering/data-science experience
  • Quality driven, detail oriented, with excellent interpersonal skills
  • Experience with REST APIs

Description

This role is essential to enabling Health Algorithms research by ensuring high quality of data at large scale. You will be collaborating with multi-functional teams such as the data engineering, data science and QA teams to test, validate and monitor data platforms and the data flowing through them. To do that, you will need to design, develop and maintain/own software services and frameworks. Your work will have direct and essential impact to future Apple products. Core responsibilities: Design, own, and maintain scalable and robust frameworks, services and tools for testing, monitoring of infrastructure and analysis of data. Provide feedback and reporting on services status of monitored services and inform partnering teams of issues or progress. Creative effort to scale up said services while maintaining quality of data.

Education & Experience

BS and a minimum of 3 years relevant industry experience

Additional Requirements

Pay & Benefits