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 Customer Analytics - Software Engineer - Austin, Texas, 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: Other
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: 200214349 / Latpro-3819682 
Date posted: Oct-17-2021
State, Zip: Texas, 78729


Customer Analytics - Software Engineer

Austin , Texas , United States



Posted: Aug 27, 2021

Weekly Hours: 40

Role Number: 200214349

Imagine what you could do here. At Apple, new ideas have a way of becoming great products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Product Marketing Customer Analytics team is seeking a data engineer to support customer analytics with advanced, scalable and robust architecture, tools, data products, and critical data pipelines that are optimized for rapid business intelligence, data analysis, and data science.

Key Qualifications

  • Proficient in Spark
  • Experience with MPP databases preferred
  • 6+ years of experience in data engineering and ETL pipeline development.
  • 3+ years of Spark development.
  • 6+ years of experience in Big Data Technologies (Hadoop, MapReduce, Hive etc...).
  • Experience on Kubernetes, Docker preferred.


  • Develop and automate large scale, high-performance, scalable platform (batch and/or streaming) to drive faster analytics
  • Ability to design large-scale, complex applications and frameworks with excellent run-time characteristics such as low-latency, fault-tolerance and availability
  • Experience in building and maintaining custom frameworks to support engineering/analytics needs
  • Knowledge of continuous integration, testing methodologies, TDD and agile development methodologies.
  • Partner with analytic consumers and data scientists to build and improve new/existing constructs and solve data engineering problems @ scale.
  • Good knowledge of Data formats (Parquet, ORC etc.) and consensus management systems
  • Exposure to structured or unstructured storage and distributed caching.
  • Deploy inclusive data quality checks to ensure high quality of data.
  • Experienced Engineer or Contributor or Committer to open source technologies is plus.
  • Evangelize high quality software engineering practices towards building data infrastructure and pipelines at scale.
  • Structured thinking with ability to easily break down ambiguous problems and propose impactful solutions.
  • Communication Strong documentation and technical writing skills.
  • Attention to detail and effective verbal/written communication skills.

    Education & Experience

    Prefer: BS/MS in Computer Science Quantitative Finance, Math, Physics or a related Engineering degree

  • Requirements

    See job description


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