Apple-posted 2 months ago
$171,600 - $258,100/Yr
Full-time • Mid Level
San Diego, CA
5,001-10,000 employees

APPLE INC has the following available in San Diego, California. Design and develop software for real-time and offline data analytics platform for various large scale software services. Build fault tolerant APIs for various software services to be used by applications. Design and build backend services including APIs, ad systems, recommendation and personalization system. Build large scale data pipelines using modern analytics stack. Build and deploy data pipelines and APIs using CI/CD tools. Architect and store data in data warehouse. Build and automate reports using modern tools. Optimize, clean, and filter data pipelines for dealing with user privacy requirements. Help with recruiting which includes resume screening, interviews and decision making on candidate offers. Prioritize complex tasks, performance checks, scalability issues, and user and systems security. Clearly communicate with partner teams and be an active part of strategy planning and decision making. Use technical expertise to provide mentorship to junior engineers. Work with project managers to scale, groom, and prioritize product backlog and roadmap. 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 $171,600 - $258,100/yr and your base pay will depend on your skills, qualifications, experience, and location.

  • Design and develop software for real-time and offline data analytics platform for various large scale software services.
  • Build fault tolerant APIs for various software services to be used by applications.
  • Design and build backend services including APIs, ad systems, recommendation and personalization system.
  • Build large scale data pipelines using modern analytics stack.
  • Build and deploy data pipelines and APIs using CI/CD tools.
  • Architect and store data in data warehouse.
  • Build and automate reports using modern tools.
  • Optimize, clean, and filter data pipelines for dealing with user privacy requirements.
  • Help with recruiting which includes resume screening, interviews and decision making on candidate offers.
  • Prioritize complex tasks, performance checks, scalability issues, and user and systems security.
  • Clearly communicate with partner teams and be an active part of strategy planning and decision making.
  • Use technical expertise to provide mentorship to junior engineers.
  • Work with project managers to scale, groom, and prioritize product backlog and roadmap.
  • Master’s degree or foreign equivalent in Computer Science, Computer Engineering, or a related field.
  • 3 years of experience in the job offered or related occupation.
  • 2 years of experience with using Java, JavaScript, CoffeeScript, React.js, and SQL to build data visualization features for web applications to implement reporting functionality.
  • 2 years of experience implementing distributed caching solutions in Java to optimize API response times and improve system performance in large-scale applications.
  • 2 years of experience using SQL databases to design, develop, and test software applications with complex data persistence requirements while applying computer science fundamentals in algorithms.
  • 2 years of experience using Java, Node.js, and JavaScript to support core application functionality in cloud-based analytics platforms to develop and maintain RESTful APIs.
  • 2 years of experience using Splunk to monitor application logs to detect and diagnose errors, performance bottlenecks, and other anomalies, enabling rapid issue resolution and improved application reliability.
  • 2 years of experience building fault-tolerant, scalable APIs with Java to enhance resilience and concurrence of distributed software systems.
  • Comprehensive medical and dental coverage.
  • Retirement benefits.
  • A range of discounted products and free services.
  • Reimbursement for certain educational expenses — including tuition.
  • Opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs.
  • Eligibility for discretionary restricted stock unit awards.
  • Ability to purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan.
  • Discretionary bonuses or commission payments as well as relocation.
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