Senior Software Engineer - Data Analytics Platform

Seattle, Washington, United States
Software and Services


Weekly Hours: 40
Role Number:200461722
The Apple Services 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 dedication 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 outstanding integration of hardware, software, and services, engineers here partner to get behind a single unified vision. That vision always includes a deep dedication 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 multi-functional, offering greater exposure to the array of opportunities here. We are seeking a highly experienced Senior Engineer to join our team and own the development of a semantic layer for our analytics data. In this role, you will be responsible for crafting and building a comprehensive data architecture that will enable seamless data integration and enable the delivery of high-quality insights to our customers.

Key Qualifications

  • Proven experience in data engineering, data architecture, or a related field
  • Experience in building and deploying semantic layers for analytics data is a plus
  • Strong understanding of data modeling, data warehousing, and ETL concepts
  • Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake
  • Experience with data integration and data governance tools, such as Talend, Informatica, or Collibra
  • Excellent problem-solving and analytical skills, and the ability to work well under tight deadlines
  • Excellent interpersonal skills and the ability to collaborate effectively with multi-functional teams


Design and implement a semantic layer that integrates analytics data from multiple sources in an efficient and effective manner. Develop data models and mapping rules to transform raw data into actionable insights and reports. Collaborate with the analytics and data science teams to understand their requirements and deliver solutions that meet their needs. Ensure data quality and accuracy by developing data validation and reconciliation processes. Play an active role in the development and maintenance of user documentation, including data models, mapping rules, and data dictionaries. Collaborate with multi-functional teams to define and implement data governance policies and standards. Stay informed about the latest developments in data analytics and data management technologies and recommend new tools and methodologies to improve the semantic layer.

Education & Experience

Bachelor's or Master's degree in Computer Science, Information Systems, or a related field Apple is an equal opportunity employer and value diversity at our company. Apple does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

Additional Requirements

Pay & Benefits