Data Engineer

2 weeks ago


Cupertino, California, United States Apple Full time
Analytics Engineer - Retail Store Analytics

The Apple team is revolutionizing entire industries with innovative technology and environmental efforts. We're a diverse collective of thinkers and doers, continuously reimagining our products and practices to help people do what they love in new ways. As an Analytics Engineer on the Retail Store Analytics team, you will help create and maintain the analytic data pipelines that empower the analytics and reporting key to decision making across Retail.

Key Responsibilities:
  • Design, create, refine, and maintain data pipelines and ingestion processes used for modeling, analysis, and reporting.
  • Collaborate with other data scientists, analysts, and engineers to build full-service data solutions.
  • Work with cross-functional business partners and vendors to acquire and transform raw data sources.
  • Develop a deep understanding of our retail customer base and purchase choices and contribute to the development of tools to improve business efficiency and productivity.
Requirements:
  • 4+ years of related work experience in decision/data science, consulting, or other related business facing role.
  • Fluency in SQL and Python, including schema design and data modeling.
  • Experience building robust and scalable data processes and pipelines for modeling, analysis, and reporting.
What We Offer:
  • 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.
  • Discretionary bonuses or commission payments, as well as relocation.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics.


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