Data Engineer II, Intelligence Data Services, Amazon Leo

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

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Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Salary

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401(k) match

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Schedule

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Weekend work

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Application

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Deadline

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About this role

Data Engineer II, Intelligence Data Services, Amazon Leo Bellevue, Washington, USA Amazon Leo is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we've designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. Export Control : This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed. Leo Intelligence Data Services (KIDS) team is seeking a Data Engineer II who will help architect and build enterprise grade data platform, combining data lake and mesh architectures using latest AWS data services. In this role, you'll be responsible for building and maintaining the organization's central data platform that serves as the single source of truth, enabling teams across the company to develop analytics and dashboards. Working closely with cross-functional teams across hardware, software, supply chain, manufacturing, launch, facilities, finance, compliance, and HR, you'll implement sophisticated data architectures and self-service tooling to support various analytics use cases including business reporting, production pipelines, optimization models, statistical analysis, and simulations. As a Data Engineer II, you will be responsible for architecture and engineering of data infrastructure across our systems of supply chain, development, production and test. You'll drive production optimization by managing data stores, developing

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