Data Platform Engineer for AI, Search & Telemetry

Apple Inc.; Cupertino (CA); On-site; USD 150,000 - 225,000; Full time

Job summary

Apple Inc. in Cupertino, California, is seeking a Software Development Engineer, Data - AI, to design and build internal datasets and pipelines that improve developer workflows, ensure data quality, and strengthen system reliability at scale.

You’ll work on tools and frameworks that give engineers better visibility into system health and data quality, while driving CI/CD improvements. The role interfaces across server-side systems and devices, emphasizing reliability, observability, and

Qualifications

• 3+ years of professional software or data engineering experience.
• Strong programming and data skills including SQL and Python.
• Experience with data quality, validation, and large datasets.
• Experience writing and maintaining high-quality, well-tested code.
• Knowledge of data governance and compliance frameworks.
• Bachelor’s or Master’s degree in Computer Science or related field.

Responsibilities

• Design and deliver tools and frameworks to improve how engineering teams build, test, and release software.
• Focus on CI/CD automation, data validation, and system observability with scalable solutions.
• Contribute to telemetry and instrumentation across services and devices for reliable insights.
• Collaborate closely with engineers across disciplines to understand workflows and deliver reliable solutions.

Skills

SQL

Python

Data pipelines

Data quality

Testing

Education

Bachelor's or Master’s in CS/SE

Tools

AWS

GCP

Azure

Docker

Kubernetes

Job description

Apple Inc. in Cupertino, California, is seeking a Software Development Engineer, Data - AI, to design and build internal datasets and pipelines that improve developer workflows, ensure data quality, and strengthen system reliability at scale.

You’ll work on tools and frameworks that give engineers better visibility into system health and data quality, while driving CI/CD improvements. The role interfaces across server-side systems and devices, emphasizing reliability, observability, and