SummaryPosted: Dec 20, 2024Role Number:200584324Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product. Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple’s customers every single day. Apple’s Biophotonics group is seeking an enthusiastic data engineer to collaborate with an R&D team developing a new generation of bio-sensing technologies. The ideal candidate will have experience developing and maintaining data pipelines to prepare clinical data for analysis.DescriptionDescription• 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 consistencyMinimum QualificationsMinimum QualificationsBS degree in Computer Science or related fieldExperience in data engineeringExperience programming in PythonSQL experienceKey QualificationsKey QualificationsPreferred QualificationsPreferred Qualifications10+ years experience in data engineering on AWS or GCP platformsDemonstrated ability to perform independent and high quality data engineering with >100 TB of dataExcellent communicator/facilitator within and between groupsExperience working with clinical or human study dataExperience processing and analyzing data in MatlabFamiliarity with one or more of: Medrio EDC, Hadoop, Spark, Docker, Artifactory, AirFlowFamiliarity with signal processingEducation & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsPay & BenefitsPay & BenefitsAt 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.

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.
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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. Learn more about your EEO rights as an applicant.