✦ Luna Orbit — Cloud & Infrastructure

Data Engineer , AWS Infrastructure Supply Chain Intelligence

at Amazon.com

📍 US, WA, Bellevue Unknown Posted March 13, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Cloud & Infrastructure

This role supports AWS infrastructure supply chain operations by developing data pipelines, managing large-scale data systems, and enabling analytics for logistics and manufacturing.

  • Build and maintain data infrastructure
  • Connect supply chain systems
  • Optimize data pipelines
  • Support supply chain analytics
  • Ensure data quality and accessibility

The technical scope includes AWS cloud services, data pipelines, ETL, data modeling, distributed systems, and business intelligence tools.

The ideal candidate is a data engineer with expertise in AWS cloud services, data pipelines, ETL processes, and data modeling. They should be capable of managing large-scale data infrastructure and supporting supply chain analytics in a fast-paced environment.

AWSData pipelinesETLData modelingData management
Business intelligenceDistributed systemsData storageAutomation
AWSAmazon Web ServicesData management toolsBusiness intelligence tools
AWSAmazon Web ServicesData pipelinesETLData modelingData managementDistributed systemsData storageBusiness intelligence
AWSAmazon Web ServicesData managementData pipelinesETLDistributed systemsData storageSupply chainData modelingBusiness intelligenceData infrastructureData qualityAutomationData accessibility
CollaborationProblem-solvingAnalytical thinkingSelf-starterMentoringFast-paced environment adaptation
Industry Cloud Computing / Data Center Operations
Job Function Managing and optimizing data infrastructure for AWS supply chain operations
Data EngineerAWSAmazon Web ServicesData pipelinesETLData modelingData managementDistributed systemsData storageBusiness intelligenceData infrastructureData qualityAutomation

No experience with AWS or data pipelines, Lack of data modeling skills, Unfamiliar with supply chain data environments, No experience in data management or ETL

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