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 Data Backend Test Engineer - Seattle, Washington, United States

Job information
Posted by: Apple 
Hiring entity type: Retail 
Work authorization: Not Specified for United States
Position type: Direct Hire, Full-Time 
Compensation: ******
Benefits: See below
Relocation: Not specified 
Position functions: Computers - Software Engineer
Travel: Unspecified 
Accept candidates: from anywhere 
Languages: English - Fluent
Minimum education: See below 
Minimum years experience: See below 
Resumes accepted in: English
Cover letter: No cover letter requested
Job code: 200236047 / Latpro-3784493 
Date posted: Apr-09-2021
State, Zip: Washington, 98199


Data Backend Test Engineer

Seattle , Washington , United States

Software and Services


Posted: Apr 8, 2021

Weekly Hours: 40

Role Number: 200236047

The Apple Media Products Engineering team is one of the most exciting examples of Apple's long-held passion for combining art and technology. These are the people who power the App Store, Apple TV, Apple Music, Apple Podcasts, and Apple Books. And they do it on a massive scale, meeting Apple's high expectations with high performance to deliver a huge variety of entertainment in over 35 languages to more than 150 countries. These engineers build secure, end-to-end solutions. They develop the custom software used to process all the creative work, the tools that providers use to deliver that media, all the server-side systems, and the APIs for many Apple services. Thanks to Apple's unique integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep commitment to strengthening Apple's privacy policy, one of Apple's core values. Although services are a bigger part of Apple's business than ever before, these teams remain small, nimble, and cross-functional, offering greater exposure to the array of opportunities here.

Key Qualifications

  • Day to day work involves understanding data pipeline systems developed by engineering teams.
  • Carry out data profiling and understand schema, data interrelationships, and data flow.
  • Document test plans, writing test case automation and working closely with other teams (engineering, project management, etc.), bug reporting and isolation
  • This position demands a self-motivated individual with strong technical and communication skills who can contribute in a team environment.
  • Be dynamic and prepared to test/regress a high volume of changes on a day-to-day basis.
  • Candidate should possess the ability to implement automated tests.
  • Demonstrate excellent bug reporting skills and the ability to communicate clearly with third parties
  • Interest in AMP products, improving AMP data, and learning AMP tools and technologies
  • Comfortable and adaptable in a fast-paced environment.
  • Strong analytical, problem solving and creative thinking skills.
  • Possess exceptional analytical skills in test case design and bug diagnosis.
  • Good soft skills esp. listening and interfacing with stakeholders
  • Dedication to user-focused design & high quality technology
  • Strong commitment to technical quality assurance as a key part of the software development cycle.
  • Willingness to work cross-functionally with other teams.
  • Results-oriented, persistent, and meticulous.


The Apple Media Products (AMP) Analytics Engineering QA team is responsible for ensuring the Quality and integrity of the data collected and reported on customer experience data. We are seeking Data Test Engineers who are interested in AMP products, want to make a difference to them and to Apple as a whole, improving the data quality, and learn AMP cutting-edge tools and technologies

Education & Experience

BS/BA/MS/MA/PhD degree in any of the STEM majors (Sciences/Physics/Chem/CS/Math/Engineering). Ideally 2+ years of experience. This position is good for recent, research-oriented graduates attempting to transition from non-CS STEM majors to the data/software world.

Additional Requirements

  • Deep understanding of Big Data technologies (e.g. HDFS, AWS, Spark, Kafka, Voldemort, Cassandra, Druid)
  • Knowledge in Python, Java, Scala, SQL
  • Experience with Big Data query tools (e.g. Hive, HDFS, Azkaban, SparkSQL, HiveQL, CQL)
  • Good to have experience with near real-time (NRT) and Batch data pipelines
  • Experience black box testing Client-Server products
  • Knowledge in Data Quality, Data Profiling and Data Integration tools.
  • Experience in data migrations, DataWarehousing, Business Intelligence


See job description


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