✦ Luna Orbit — Data & Analytics

Data Engineer II , GTMO DATA

at Amazon.com

📍 US, WA, Seattle Unknown Posted March 20, 2026
Type Not Specified
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves building and maintaining large-scale data pipelines and data warehouses, enabling reporting and analytics for Amazon Business.

  • Design data pipelines
  • Build data models
  • Implement ETL processes
  • Develop reports and dashboards
  • Collaborate with business teams

The technical environment includes Python, Java, AWS EMR, RDBMS, data modeling, and reporting tools, focusing on high-volume data integration and analysis.

The ideal candidate is a mid-level data engineer with 3+ years of experience designing and implementing large-scale data solutions using Python, Java, and cloud platforms like AWS. They are self-motivated, analytical, and skilled in data modeling, ETL processes, and reporting.

Data EngineeringETLData ModelingData IntegrationReporting
PythonJavaCloud PlatformsBig DataData Lakes
PythonJavaAWSEMRRDBMSColumnar DatabasesData WarehouseReporting Tools
Data EngineerETLData WarehouseData ModelingData IntegrationReportingPythonJavaAWSBig Data
PythonJavaETLData WarehouseData ModelingSQLCloud PlatformsData IntegrationReporting ToolsBig Data
CommunicationProblem-solvingSelf-starterCollaborationAnalytical Thinking
Industry E-commerce
Job Function Develop and maintain scalable data solutions for analytics
Role Subtype Data Engineer II
Tech Domains Python, Java, Amazon Web Services, Data & Analytics
Data EngineerETLData WarehouseData ModelingData IntegrationReportingPythonJavaCloud PlatformsBig DataData LakesAWSEMRRDBMSSQLData Solutions

Less than 3 years experience, Lack of experience with ETL or data modeling, No experience with AWS or cloud data platforms

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