Apple Inc. is seeking a Data Engineer for various locations across the USA, including Cupertino, California. The role involves collaborating with business and internal teams to understand business contexts and analytical needs, building and iterating on rapid prototypes. The engineer will create data platforms and ecosystems to support Apple's analytical use cases, providing cutting-edge analytics using tools like DataRobot, Python, and internal Apple tools. Responsibilities include designing, developing, deploying, and managing data architecture and analytics platforms using AWS S3, redshift, DynamoDB, Snowflake, Glue, Kinesis, and SinglestoreDB. The position also entails evaluating new technologies, identifying data needs, and developing ETL frameworks and real-time data processing solutions using Kafka or Kinesis. Creating dashboards and visualizations with Tableau, ThoughtSpot, or Business Objects to support supply chain and multi-channel business teams is also required. The role demands understanding complex business requirements and translating them into prototype systems quickly, and partnering with other Apple organizations on data governance, reporting tools, and KPI management. Enhancing database and reporting tool performance and scalability is a key aspect of the job.