✦ Luna Orbit — Data & Analytics

Sr. Data Infrastructure Engineer, Amazon Interactive Video Service (IVS)

at Amazon.com

📍 US, WA, Seattle Unknown Posted March 13, 2026
Type Not Specified
Experience mid
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves designing and maintaining large-scale data infrastructure to support analytics and machine learning workloads at Amazon IVS.

  • Design scalable data infrastructure
  • Build data pipelines
  • Ensure data quality
  • Collaborate with product teams
  • Optimize performance and costs

The technical environment includes AWS cloud services, data pipelines for batch and streaming data, analytics tools, and ML support, with a focus on reliability and performance.

The ideal candidate is a mid-level data engineer with experience in building scalable data infrastructure on AWS, supporting analytics and ML workloads, and ensuring data quality and reliability.

Designimplementand maintain scalable data infrastructureBuild and optimize data pipelinesEnsure data quality and reliabilityWork with product and analytics teams
Security and complianceCost optimizationEmerging tools and frameworks
AWSAmazon Web Services
Data infrastructureAWSData pipelinesBatch processingStreaming dataAnalyticsML workloadsMonitoringLoggingAutomated alerting
Data infrastructureAWSData pipelinesBatch processingStreaming dataAnalyticsML workloadsMonitoringLoggingAutomated alerting
CollaborationProblem-solvingCommunicationOwnershipInnovation
Industry Technology / Cloud
Job Function Empowering teams with data infrastructure for analytics and ML
Data Infrastructure EngineerAWSData pipelinesBatch processingStreaming dataAnalyticsML workloadsMonitoringLoggingAutomated alerting

Lack of experience with AWS data infrastructure, No experience with data pipelines or streaming data, Unwillingness to work in a collaborative environment

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