✦ Luna Orbit — Data & Analytics

Data Engineer II, Managed Operations Data Science (MODS)

at Amazon.com

📍 US, VA, Arlington 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 building scalable data solutions on AWS, collaborating with engineering and data science teams to support AWS strategic initiatives.

  • Build scalable data pipelines
  • Design data models
  • Optimize data infrastructure
  • Collaborate with teams
  • Ensure data quality

Focuses on data pipeline development, data modeling, and infrastructure on AWS using Glue, Lake Formation, and S3.

The ideal candidate is a mid-level data engineer with experience designing scalable data pipelines and infrastructure on AWS, capable of collaborating across teams to optimize data solutions.

Data engineeringData modelingData pipelinesAWSData infrastructure
ScalabilityPerformance optimizationData architectureETL
AWSAmazon Web ServicesGlueLake FormationS3
Data engineeringData modelingData pipelinesAWSAmazon Web ServicesGlueLake FormationS3ScalabilityPerformanceData infrastructureETLData architecture
Data engineeringData modelingData pipelinesAWSAmazon Web ServicesGlueLake FormationS3ScalabilityPerformanceData infrastructureETLData architecture
CollaborationAnalytical mindsetProblem-solvingDesign thinkingTeamwork
Industry Technology / Cloud Computing / Data Science
Job Function Data engineering and infrastructure development on AWS
Data EngineerData engineeringData modelingData pipelinesAWSAmazon Web ServicesGlueLake FormationS3ScalabilityPerformanceData infrastructureETLData architecture

Lack of AWS data engineering experience, No experience with data pipelines or infrastructure, Inability to work collaboratively across teams

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