Data Platform Engineer

Summary

We are seeking an experienced Data Platform Engineer to join our Storage Analytics team. You will design and build data solutions that provide critical insights into storage performance and usage across Apple's entire device ecosystem.

Description

Working with large-scale telemetry data from millions of Apple devices worldwide, you'll support multiple CoreOS Storage teams, including Software Update, Backup/Restore/Migration, Storage Attribution, and other storage domains.

Minimum Qualifications

Bachelor's degree in Computer Science or related technical field nn4+ years of professional experience in data modeling, pipeline development, and softwarenengineeringnnProgramming Languages: excellent programming skills in Python with strong computer science foundations (data structures, low-level parallelization.nnDatabase Management: Strong SQL skills and hands-on experience with relational databases and query engines (PostgreSQL, Impala, Trino)nnExperience with data analysis tools and libraries (Pandas/Polars, NumPy, dbt)nnExperience with big data technologies (Kafka, Spark, Databricks, S3)nnExperience with Apache Airflow, Dagster, or similar data orchestration frameworks for workflow orchestration, scheduling, and monitoringnnExperience with containerization and orchestration (Docker, Kubernetes /visualization & Reporting:nnStrong proficiency with creating and maintaining Tableau/Grafana dashboards and workflows

Preferred Qualifications

Master's or PhD in Computer Science or related fieldnnDeep expertise in data principles, data architecture, and data modeling nnStrong problem-solving skills and meticulous attention to detail, with the ability to tackle looselyndefined problem