Data Engineer

Austin, Texas, United States
Machine Learning and AI


Role Number:200471689
Make a difference. The Operations team at Apple is looking for a dynamic and motivated candidate for the role of a Data Engineer. The role is an opportunity for a self-driven individual to utilize their business acumen, acquire process knowledge and apply analytical skills to deliver creative, value-added solutions to the Operations team at Apple. The engineer needs to be adept in the use of data forensics, statistical tools and techniques to be able to identify process gaps, root cause issues and recommend optimal solutions. Knowledge and hands on experience of quantitative analysis in the supply chain domain is expected. Ability to use statistical tools and techniques to identify process gaps, root cause issues and drive data driven decision making is desirable.

Key Qualifications

  • 5+ years experience in quantitative analysis within the supply chain domain is expected.
  • Computational analysis using Snowflake, mySQL, Teradata, Python, Tableau, Business Objects, JMP, R, Matlab, SPSS and working knowledge of SAP/S4 data structures.
  • Experience with Snowflake, Teradata, and Tableau. Expert level fluency in SQL and Python required.
  • Applied Machine Learning experience, ie. regression analysis, time series, probabilistic models, bayesian statistics, etc.
  • Proven ability to perform effectively under dynamic conditions such as directional changes, tight deadlines and limited resources; organizational skills and the ability to multi-task are essential.
  • Commitment to keeping up to date with industry leading technologies, techniques, tools and best practices, including experience with SQL, Teradata, Python and Tableau.
  • Advanced understanding of data sources & relationships, reporting tools and systems knowledge, including experience in measuring and managing data quality.
  • Ability to translate technical content for non-technical audiences and vice-versa, and excellent verbal and written communication & presentation skills using data visualization applications is desired.


As a Data Engineer within Americas Business Process Re-Engineering team, you will: - Think strategically while executing on operational strategies in order to make definitive and measurable improvements for the operations teams. - Use statistical tools and techniques to identify process gaps, root cause issues, and drive data driven decision making; articulate findings to senior leadership. - Think out of the box and influence peers and management with data driven models using advanced analytics. - Leverage quantitative skills, select appropriate tools and techniques, create frameworks to drive policy changes, and implement corrective actions to improve the customer experience. - Apply knowledge of data concepts including data warehousing, data engineering and experience in managing a self-serve model. - Create and maintain reports and data models, and leverage data across complex hierarchies using multiple data sources. - Influence the architecture of core data models that fuel the Operations teams, guiding other data engineers to incorporate best practices in data engineering. - Perform testing to support system implementations and upgrades, and drive process improvement techniques in data quality.

Education & Experience

BS/MS in Data Mining, Statistics, Machine Learning, Computer Science, Operations Research or related field required.

Additional Requirements