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Apple Health Systems Data Quality Engineer 
United States, California, Sunnyvale 
805952637

06.05.2025
Core responsibilities: Design, own and maintain scalable and robust test automation frameworks, create services and tools for testing and monitoring of data processing infrastructure and of data monitoring reports. Provide feedback and reporting on data pipelines and inform partnering teams of issues or progress. Test the functionality and accuracy of data pipelines and data monitoring tools by leveraging Python and Spark. Understand complex software and data processing systems and be able to break the systems down into smaller components in order to deep dive into the implementation to ensure robust and reliable data processing produces the highest quality of data.
  • BS degree in Computer Science or Data Science and a minimum of 3 years relevant industry experience
  • Proficient in Python
  • Strong software development skills, with 3+ years experience programming in Python
  • Experience with Apache Spark/PySpark, Apache Airflow, Pandas/Numpy
  • Experience with infrastructure test automation and CI/CD workflows
  • Experience with data visualization
  • Familiarity with cloud-based infrastructure such as AWS
  • Practical experience with SQL and NoSQL databases (MySQL, Postgres, MongoDB, etc)
  • Quality driven, detail oriented, with excellent interpersonal skills
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.