This role is part of the Quality Engineering team focused on delivering high-quality data for next-generation health sensing technologies. The position involves ensuring the robustness, accuracy, and stability of large-scale data processing pipelines and monitoring tools. The candidate will collaborate with multi-functional teams, including data engineering, data science, and quality assurance, to test and validate data platforms. This role is crucial for enabling Health Algorithms research by maintaining high-quality data at scale.

• BS degree in Computer Science, Data Science, or a related field
• 2+ years of relevant industry experience
• Strong software development skills with 2+ years of experience programming in Python
• Experience with Apache Spark/PySpark, Apache Airflow, and Pandas/Numpy
• Experience with infrastructure test automation and CI/CD workflows
• Familiarity with cloud-based infrastructure such as AWS
• Practical experience with SQL and NoSQL databases like MySQL, Postgres, and MongoDB
• Quality driven, detail oriented, with excellent interpersonal skills

• Design, own, and maintain scalable and robust test automation frameworks.
• Create services and tools for testing and monitoring data processing infrastructure.
• 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 using Python and Spark.
• Understand complex software and data processing systems to ensure robust and reliable data processing.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.