The Data & Analytics Engineer role at Apple focuses on building the data foundation for the Developer Experience Platform team, which is dedicated to creating AI-powered tools for application development. This position involves developing robust data pipelines and analytics systems that enhance AI agents and autonomous workflows. The engineer will play a crucial role in streamlining the adoption of generative AI across the organization. The work directly impacts how software is built at scale, contributing to innovative solutions within the company.

• 3+ years of hands-on experience in data engineering, analytics engineering, or a related role in a production environment
• Proficiency in Python and SQL, including pipeline development, automation, and performance optimization
• Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Databricks
• Experience implementing monitoring, logging, and observability for data pipelines
• Experience with data modeling
• B.S. in Computer Science or similar or equivalent industry experience
• Experience building AI/LLM-powered data pipelines, including RAG systems and integrations with APIs such as OpenAI or Anthropic
• Experience with real-time/streaming data systems such as Apache Kafka, Flink, or Spark Structured Streaming
• Experience with workflow orchestration tools such as Airflow, Prefect, or Dagster
• Knowledge of MLOps workflows, including feature engineering, model deployment, and monitoring
• Experience with data quality, governance, and lineage tools
• Experience building and maintaining ELT pipelines using DBT
• Experience building dashboards and analytics using tools like Tableau, Looker, or Power BI
• Working knowledge of cloud platforms such as AWS, GCP, or Azure and associated data services

• Design, build, and scale data pipelines and analytics systems for the Developer Experience Platform.
• Develop robust data foundations that enable AI agents and autonomous workflows.
• Implement monitoring, logging, and observability for data pipelines.
• Build and maintain ELT pipelines using DBT.
• Create dashboards and analytics using tools like Tableau, Looker, or Power BI.
• Collaborate with cross-functional teams to streamline the adoption of generative AI.

• Employees at Apple are often offered comprehensive benefits that support physical and mental well-being—flexible medical plans, confidential counseling, onsite wellness centers at major campuses, and resources for fitness and daily life. Families typically receive fertility support, paid parental leave with gradual return, caregiving leave, and dependent-care guidance, while financial perks commonly include stock grants (with purchase discounts), 401(k) matching, and income-protection coverage. Employees also see robust time off, Apple University learning and tuition reimbursement, donation matching and paid volunteer hours, and deep product and partner discounts.