✦ Luna Orbit — AI & Machine Learning

AI Platform Data Engineer II, Ring Decision Science

at Amazon.com

📍 US, CA, Hawthorne Unknown Posted March 17, 2026
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category AI & Machine Learning

This role involves developing AI-powered data platforms, building scalable data pipelines, and supporting AI/ML initiatives across various business units.

  • Build data pipelines
  • Develop AI platforms
  • Implement data models
  • Automate workflows
  • Collaborate with stakeholders

Focus on data engineering with AWS services, data modeling, ETL pipelines, and AI integration, emphasizing automation and data quality.

The ideal candidate is a mid-level AI/ML-focused data engineer with at least 3 years of experience in data pipelines, modeling, and AI platform development, with strong technical and stakeholder management skills.

Data EngineeringData ModelingSQLETL Pipelines
AWSAmazon Web ServicesAIMachine LearningAI-powered PlatformsNatural Language Processing
AWSRedshiftS3AWS GlueEMRKinesisFire
Data EngineeringData ModelingWarehousingETL PipelinesSQLAIMachine LearningAI-native PlatformsNatural Language InterfacesData QualityData Discoverability
Data EngineeringData ModelingWarehousingETL PipelinesSQLAIMachine LearningAI-native PlatformsNatural Language InterfacesData QualityData Discoverability
Technical SkillsAnalytical SkillsCommunicationStakeholder ManagementCollaborationProblem Solving
Industry Technology / AI & Machine Learning
Job Function AI platform development and data engineering
Role Subtype Data Engineer
Tech Domains Amazon Web Services, SQL / PostgreSQL, Data Warehousing, AWS Glue, EMR, Kinesis
data engineeringdata modelingETL pipelinesSQLAIMachine LearningAI platformsNatural Language InterfacesAWSAmazon Web ServicesData QualityData DiscoverabilityData PipelinesData WarehousingAI-powered solutions

Less than 3 years of experience, No experience with data pipelines or SQL, Lack of AI or ML experience, Unfamiliarity with AWS tools

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