Operations Data Engineer
Core
Design and build scalable data infrastructure powering analytics, machine learning, and AI-driven decision-making for Apple's Operations and supply chain.
Role type
Senior IC data engineer (supply chain & operations)
Builds
End-to-end data pipelines, data models, and cloud-native data environments for Operations analytics and AIML workflows.
Domain
Supply chain, operations management, logistics, and data engineering.
Deliverable
production ML models
Required skills
Python, SQL, dbt, Apache Airflow, Snowflake, Delta Lake, Apache Iceberg, Kafka/Flink, Docker, Kubernetes, GenAI/LLM tooling, data observability, data lineage, query optimization.
Preferred skills
Data visualization (Tableau, Streamlit), vector databases, RAG pipelines, AI-native data tools, rapid prototyping.
Responsibilities
Design and implement end-to-end data pipelines for batch and real-time workloads; Build and maintain high-quality data models using modern transformation frameworks; Architect and operate data workflows with orchestration tools and monitoring; Implement data observability, lineage tracking, and validation frameworks; Collaborate with Data Scientists and ML Engineers to operationalize models; Tune query performance and storage optimization for cloud warehouses and lakehouses.
Seniority
Senior, hands-on IC
