✦ Luna Orbit — Data & Analytics

Data Engineer, WW Ops Finance S&A

at Amazon.com

📍 US, WA, Bellevue Unknown Posted March 24, 2026
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Data & Analytics

This role involves designing and supporting scalable data infrastructure and pipelines within Amazon's global data environment, working with cloud services and big data tools.

  • Design data solutions
  • Implement data pipelines
  • Support data warehouse environments
  • Collaborate with tech teams
  • Ensure data quality and security

Utilizes Python, Scala, SQL, AWS services like Redshift, Glue, S3, IAM, and CloudWatch for data pipeline development, data warehousing, and analytics in a cloud environment.

The ideal candidate is a skilled data engineer with expertise in Python, SQL, and AWS services, capable of designing scalable data pipelines and supporting complex data warehouse environments.

PythonSQLAWSETLData WarehouseData pipelines
ScalaRedshiftGlueS3IAMCloudWatch
PythonScalaSQLAWSRedshiftGlueS3IAMCloudWatch
PythonScalaSQLAWSRedshiftGlueS3IAMCloudWatchETLData WarehouseData pipelines
PythonScalaSQLAWSRedshiftGlueS3IAMCloudWatchETLData WarehouseBusiness IntelligenceData pipelinesData modelingData quality
communicationcollaborationproblem-solvingdesignimplementationautomation
Industry E-commerce
Job Function Data infrastructure and pipeline development
Role Subtype Data Engineer
Tech Domains Python, SQL / PostgreSQL, Amazon Web Services, Data Warehouse, ETL
data engineerpythonscalasqlawsredshiftglues3iamcloudwatchdata warehousedata pipelinesetldata modelingdata qualitybig dataanalyticsdata infrastructureautomationcloud

Lack of experience with Python, SQL, or AWS, No background in data pipelines or data warehouse, No experience with ETL tools, No familiarity with cloud services

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