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Description
APPLE INC has the following available in Cupertino, California and various unanticipated locations throughout the USA. Design and implement new pipelines, storage, and processing solutions using modern, Distributed Systems approaches and technologies. Follow best practices in storage, processing, copy/synchronization, and others appropriate to the scale and maturity of our products. Work in cross-functional teams to prototype new concepts and deliver end-to-end systems in an agile setting. Produce high quality systems with excellent reliability and scalability. Work closely with partners across the organization to create and build data-driven products. Work on a shared codebase that supports web-scale, mission critical applications. Understand modern data engineering approaches, stay on top of developments, and are aware of what leading players are doing. Work in cloud environments and are familiar with object stores, and other common cloud-native data storage and processing frameworks. Work with pipelines and architectures that support machine learning development platforms and production applications. Demonstrated ability to implement and extend highly performant, resilient, reliable, and understandable data pipelines. 40 hours/week. 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 - $250,600/yr and your base pay will depend on your skills, qualifications, experience, and location. PAY & BENEFITS: 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: https://www.apple.com/careers/us/benefits.html. 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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Minimum Qualifications
- Master's degree or foreign equivalent in Computer Science or related field and 2 years of experience in the job offered or related occupation.
- 1 year of experience with each of the following skills is required:
- Distributed systems: Spark, Hadoop, Kafka
- Languages and frameworks: Python, Java, Scala, SQL
- Relational databases: Oracle, Postgres, mySQL
- Cloud environments with object stores, and cloud-native data storage and processing frameworks
- Pipelines and architectures that support machine learning development platforms and production applications
- Statistics and data analysis techniques to understand data quality, profile system loads, and understand the relationships between business metrics
Preferred Qualifications
- N/A
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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