Imagine what you can do here. Apple is a place where extraordinary people gather to do their lives best work. Together we create products and experiences people once couldn't have imagined, and now, can't imagine living without. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do.
Description
APPLE INC has the following available in Seattle, Washington. Design and develop big data pipelines and software for Apple Media Product Analytics system enrichment and adhoc reporting that power the media product analytics, enhance or create features, and improve service performance. Understand business features and convert requirement to system design and pipeline for cross functional teams. Design and develop pipeline to manage content metadata for big volume data querying. Work on optimizing data processing and pipelines to improve scalability and efficiency via pipeline runtime logging metrics and debugging. Design and implement data accuracy metrics and pipeline operation metrics for monitoring systems healthy. Design and implement Near-real-time pipelines to power downstream enrichment. Support SRE and other engineering teams on pipeline failures, data issue investigation and debugging using system logging and internal toolings. 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 $156,684 - $204,000/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.
Want more jobs like this?
Get jobs in Seattle, WA delivered to your inbox every week.
Minimum Qualifications
- Master's degree or foreign equivalent in Information Technology, 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:
- Java or Scala for data engineering work
- Hive, HBase, Spark, and Kafka, used as pipeline development, distributed system programming and big data processing
- Using SQL, Distributed Relational Database to power analytics engineering work of big data in a distributed compute environment
- Distributed system troubleshooting, optimize interim compute power, and reduce output storage
- System design on data pipelines to provide data accuracy, completeness and efficiency
- Big data platform and tooling, both on-promise and on cloud like HDFS, AWS, S3, and Iceberg
- Experience in communicating technical findings and customer facing cooperation
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 .
Submit Resume