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Apple Clinical Data Engineer United States, California, Cupertino 364692734
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Description
• Own the secure clinical data platform for all of Biophotonics’ studies • Design, develop, test, deploy and maintain data pipelines and data processing tools • Work with other Apple teams to understand and implement data governance policies • Collaborate to develop and maintain study monitoring and analysis tools • Develop requirements in conjunction with analysts, SW engineers and other stakeholders • Support clinical studies with a range of sizes and complexities • Detect inefficiencies; optimize processes and data flows • Write and maintain unit tests and CI to maintain high data integrity and consistency
Minimum Qualifications
- BS degree in Computer Science or related field
- Experience in data engineering
- Experience programming in Python
- SQL experience
Preferred Qualifications
- 10+ years experience in data engineering on AWS or GCP platforms
- Demonstrated ability to perform independent and high quality data engineering with >100 TB of data
- Excellent communicator/facilitator within and between groups
- Experience working with clinical or human study data
- Experience processing and analyzing data in Matlab
- Familiarity with one or more of: Medrio EDC, Hadoop, Spark, Docker, Artifactory, AirFlow
- Familiarity with signal processing
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 $175,800 and $312,200, and your base pay will depend on your skills, qualifications, experience, and location.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 take affirmative action to ensure 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.
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