Be part of the Quality Engineering team responsible for delivering high-quality data which will enable the next-generation health sensing technologies and algorithms. We are looking for motivated and talented individuals to help ensure robustness, accuracy and stability of large scale data processing pipelines and data monitoring tools. In this technically challenging role you will work together with algorithms, data engineering and quality assurance teams to build stable and high performance testing, monitoring and analytical services for scalable data platforms.
Description
This role is essential to enabling Health Algorithms research by ensuring high quality data at scale. You will be collaborating with multi-functional teams such as the data engineering, data science, algorithms, design, operations 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 test automation frameworks. Your work will have direct and essential impact to future Apple products. 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.
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Minimum Qualifications
- BS degree in Computer Science or Data Science and a minimum of 3 years relevant industry experience
- Proficient in Python
Preferred Qualifications
- 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
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $136,300 and $248,700, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
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