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Apple Data Infrastructure Engineer in New York City, New York

Data Infrastructure Engineer

New York City,New York,United States

Software and Services

  • Write high quality code. We work mostly in Python, Objective-C, Java, and Swift. However, languages can be learned: we care much more about your general engineering skills than knowledge of any particular language.

  • Hold yourself and others to a high bar when working with production systems

  • Enjoy working with a diverse group of people with different training and expertise.

  • Have extraordinary communication skills, for collaborating across many participating teams

  • Experience building data pipelines

  • Experience to quickly grasp many different services and processes and know how to leverage them

  • Experience with orchestration tools like Airflow or Luigi

Description

We are looking for candidates with broad experience in systems integration, data engineering, and operations. You will be responsible for providing the flexible data infrastructure, tooling, and technical guidance that we need to provide financial intelligence at scale and build great software products. You will work on: - building flexible and user-friendly infrastructure that powers our data pipelines and centralized feature stores - developing easy to use data infrastructure for orchestrating ML training jobs - enabling our ML Engineers to seamlessly transition from experimentation to production

Education & Experience

BS or MS in Computer Science or related technical field, equivalent work experience will be considered

Additional Requirements

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Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. United States Department of Labor. Learn more (Opens in a new window) .

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Apple is committed to working with and providing reasonable accommodation to applicants with physical and mental disabilities. Apple is a drug-free workplace. Reasonable Accommodation and Drug Free Workplace policy Learn more (Opens in a new window) .

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