Data Verification Quality Engineer

Apple is where individual imaginations gather together, creating innovative products and services that change lives for the better.
$117,800 - $205,500
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS · Consumer

Description For Data Verification Quality Engineer

Apple is seeking a Data Verification Quality Engineer to join their Software and Services team in Cupertino. This role combines automated and manual testing approaches, focusing on ensuring seamless integration and optimal performance for Apple TV on the web and AirPlay across various devices.

The position requires expertise in Python and performance testing frameworks, with a strong foundation in statistics and probability. You'll be responsible for developing automated tests, validating video features, and conducting thorough performance and regression testing to maintain system reliability. Using tools like Splunk for data analysis and network simulation, you'll ensure robustness under real-world conditions.

The ideal candidate should be proficient in both manual and automated testing methodologies, with experience in test case development, environment setup, and documentation. Preferred skills include Swift, JavaScript/TypeScript, knowledge of machine learning algorithms (LSTM, SVM, Naive Bayes), and experience with containerization technologies like Kubernetes and Docker.

Apple offers a competitive compensation package, including a base salary range of $117,800 to $205,500, plus opportunities for stock ownership through various programs. Benefits include comprehensive medical and dental coverage, retirement benefits, education reimbursement, and employee discounts.

This role presents an exciting opportunity to work with cutting-edge technology at one of the world's most innovative companies. You'll be part of a collaborative team that drives innovation and delivers reliable experiences that make a meaningful impact on how users interact with Apple TV and AirPlay. The position offers growth potential and the chance to contribute to products used by millions of people worldwide.

Last updated an hour ago

Responsibilities For Data Verification Quality Engineer

  • Developing and executing test plans
  • Conducting manual testing of video-related features
  • Performing data analysis using Splunk
  • Developing automated tests
  • Validating video features
  • Conducting performance and regression testing
  • Creating detailed test plans and cases
  • Collaborating with developers for test plan reviews

Requirements For Data Verification Quality Engineer

Python
TypeScript
JavaScript
Kubernetes
  • Python proficiency required
  • Statistics and Probability knowledge

Benefits For Data Verification Quality Engineer

Medical Insurance
Dental Insurance
Education Budget
Equity
Relocation Benefits
  • Comprehensive medical and dental coverage
  • Retirement benefits
  • Employee stock programs
  • Education reimbursement
  • Discretionary bonuses
  • Relocation benefits
  • Employee Stock Purchase Plan
  • Discounted products and free services

Interested in this job?

Jobs Related To Apple Data Verification Quality Engineer

Data Engineer

Data Engineer role at Apple working on Silicon Technologies group, focusing on data infrastructure and semiconductor test data analysis.

Data Scientist, WW Demand Planning, AppleCare (statistical forecast modeling, time series)

Data Scientist position at Apple focusing on demand planning and statistical forecasting for AppleCare, utilizing advanced analytics and machine learning.

Product Knowledge Support Data Scientist, AppleCare

Data Scientist role at Apple focusing on product knowledge support and machine learning for AppleCare services.

Software Engineer - Analytics Platform

Software Engineer position at Apple focusing on building and maintaining a large-scale analytics platform for data collection and analysis across Apple devices.

Operations Program Manager, Post Ramp Qualification

Operations Program Manager position at Apple leading post-ramp qualification of components and processes, requiring technical expertise and program management skills.