Apple is seeking a talented Telemetry Data Engineer to join their Data Center Engineering Team, focusing on infrastructure services. This role combines data engineering expertise with infrastructure management, offering a unique opportunity to impact Apple's data center operations.
The position involves working with large-scale telemetry data across various infrastructure domains, requiring both technical expertise and analytical skills. You'll be responsible for analyzing and optimizing IT and Data Center Infrastructure telemetry data, ensuring data accuracy and creating actionable visualizations for engineering decision-making.
As a Telemetry Data Engineer, you'll lead initiatives in data center infrastructure telemetry for power and cooling systems, collaborate across multiple infrastructure platforms, and own the complete lifecycle of telemetry devices from evaluation to implementation. The role requires a strong background in data science, programming skills (particularly Python), and experience with various database systems.
The ideal candidate will have 5+ years of background in data science or data visualization, with proven experience in leading teams and defining project requirements. Knowledge of data center infrastructure management and monitoring systems is highly valued, as is understanding of power and cooling basics.
This role offers competitive compensation, including a base salary range of $140,700 to $234,700, plus additional benefits such as stock options, comprehensive healthcare, and educational support. You'll be working at Apple's Sunnyvale location, contributing to the company's mission of excellence in infrastructure services while having the opportunity to grow professionally and make a significant impact on data center operations.
Join Apple's innovative environment where individual imaginations come together to create world-changing solutions. You'll be part of a team that values diversity of thought and collaborative problem-solving, working on projects that directly impact the performance and efficiency of Apple's infrastructure systems.