Software Development Engineer - Applications

Apple • Seattle, WA

21h

About The Position

APPLE INC has the following available in Seattle, Washington. Responsible for collecting, analysing, and reporting on customer experience data. Generate insights into how customers interact with Apple products and use these insights to drive improvements to user-facing features. Responsible for shaping strategic direction. Work across several disciplines. Work on all stages of data pipelines and work on building, optimizing and scaling App Store Ads related big data engineering projects. Work on a small team to develop large scale data pipelines and analytical solutions using Big Data technologies. 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 $139,500 - $210,100/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.

Requirements

• Bachelor’s degree or foreign equivalent in Computer Science, Engineering, Statistics, or related field.
• Using programming languages including Java, Scala or Python.
• Proficiency with SQL databases and NoSQL databases including Cassandra.
• Using big data technologies including Spark, Spark Streaming, Hadoop, or Trino for distributed data processing.
• Developing new algorithms and data structures to process large scale data.
• Gathering multi-functional requirements and translating them into practical engineering tasks.
• Translating design requirements into functional specifications.
• Using data visualization, including formatting analytics data, and presenting data to senior engineers.
• Debugging software using an interactive debugger, including Xcode/IntelliJ, to triage and reproduce client/server issues.

Nice To Haves

• N/A

Responsibilities

• collecting, analysing, and reporting on customer experience data
• Generate insights into how customers interact with Apple products and use these insights to drive improvements to user-facing features
• shaping strategic direction
• Work across several disciplines
• Work on all stages of data pipelines
• Work on building, optimizing and scaling App Store Ads related big data engineering projects
• Work on a small team to develop large scale data pipelines and analytical solutions using Big Data technologies

Benefits

• Comprehensive medical and dental coverage
• retirement benefits
• a range of discounted products and free services
• reimbursement for certain educational expenses — including tuition
• discretionary bonuses or commission payments
• relocation
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level