✦ Luna Orbit — Data & Analytics

Data Engineer II , NA Stores Expansion

at Amazon.com

📍 US, WA, Seattle Unknown Posted April 14, 2026
Type Not Specified
Experience mid
Exp. Years Not stated
Education Not specified
Category Data & Analytics

Amazon’s North American Stores Expansion team is seeking a Data Engineer to design and maintain scalable data models and ML pipelines using AWS. The role focuses on optimizing retail and supply chain processes, improving automation, and driving data-driven insights through cross-functional collaboration.

  • Design, develop and maintain scalable data models, ETL/ELT processes, and ML pipelines using AWS services (S3, Redshift, Glue, Athena, Lake Formation)
  • Analyze business data to optimize key processes in Retail and Supply Chain domains
  • Collaborate with cross-functional teams (Scientists, Engineers, Program Managers) to deliver data solutions and implement predictive models
  • Implement and maintain CI/CD pipelines while ensuring data governance, security, and compliance standards
  • Monitor, optimize, and enhance data infrastructure to support analytics and machine learning

You will implement ETL/ELT and ML pipelines on Amazon Web Services, leveraging Amazon S3, Amazon Redshift, AWS Glue, Amazon Athena, and Amazon Lake Formation. You will establish CI/CD for data deployments and ensure data governance, security, and compliance while monitoring and optimizing the analytics and machine learning infrastructure.

The ideal candidate is an experienced Data Engineer (Data Engineer II level) who has built and maintained scalable data models, ETL/ELT pipelines, and ML pipelines on Amazon Web Services. They have strong data mining and modeling skills, can automate analytics and modeling projects at medium to large scale, and communicate clearly to cross-functional teams and leadership.

Experience with data modelingwarehousing and building ETL pipDesigndevelop and maintain scalable data modelsETL/ELT processesand ML pipelinesCI/CD pipelines while ensuring data governancesecurityand compliance standardsStrong written and verbal communication skillsAbility to manage medium and large scale automation and modeling projects
AWS servicesAmazon S3Amazon RedshiftAWS GlueAmazon AthenaAmazon Lake FormationCI/CD pipelines
data modelingdata warehousingETL/ELT processesML pipelinesAWS services (Amazon S3Amazon RedshiftAWS GlueAmazon AthenaAmazon Lake Formation)CI/CD pipelinesdata governancedata securitydata compliancepredictive modelsMLOps best practicesroot cause analysis
data modelingdata warehousingETL/ELT processesdata pipelinesML pipelinesdata miningdata modelingpredictive modelsroot cause analysisCI/CD pipelinesdata governancedata securitydata compliancedata infrastructure monitoringAWS servicesAmazon Simple Storage Service (Amazon S3)Amazon RedshiftAWS GlueAmazon AthenaAmazon Lake Formationautomating analytics modelsMLOps best practicesmentoring junior engineers
leadership skillsfacilitating idea creationcross-functional collaborationcommunication (written and verbal)presenting findingsworking with leadershipproblem solvingproviding clear and concise explanationsproviding opinion and guidancecomfortable working from concept through executionability to work with Applied Scientists
Industry E-commerce
Job Function Build and optimize AWS-based data pipelines and predictive analytics/ML solutions for retail and supply chain expansion.
Role Subtype Data Engineer
Tech Domains Amazon Web Services
Data Engineer IIData EngineerETL/ELTdata pipelinesML pipelinesmachine learningdata modelingdata warehousingCI/CDCI/CD pipelinesdata governancedata securitydata complianceAWSAmazon S3Amazon Simple Storage Service (Amazon S3)Amazon RedshiftAWS GlueAmazon AthenaAmazon Lake Formationpredictive modelsMLOpsMLOps best practicesroot cause

Must have demonstrated ability with data modeling/warehousing and building ETL/ELT pipelines, Must have experience implementing CI/CD pipelines with data governance, security, and compliance

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