✦ Luna Orbit — Data & Analytics

Senior Fullstack Engineer - Growth Platform

at Scribd, Inc.

📍 Miami, FL, US Onsite 💰 $146K – $227K USD / year Posted March 08, 2026
Salary $146K – $227K USD / year
Type Full-Time
Experience senior
Exp. Years Not specified
Education Not specified
Category Data & Analytics

This role involves designing and optimizing large-scale, event-driven data pipelines using Python and AWS, supporting content enrichment and metadata systems at Scribd.

  • Design scalable data pipelines
  • Optimize ML content systems
  • Collaborate with cross-functional teams
  • Implement event-driven architectures
  • Support metadata enrichment

Focuses on building scalable, distributed backend systems with Python and AWS services, integrating machine learning models and supporting high-volume data processing.

The ideal candidate is a senior data engineer with deep expertise in Python and AWS cloud services, experienced in building scalable, event-driven, distributed systems supporting machine learning and content enrichment at large scale.

PythonAWSDistributed systemsEvent-driven architectureData engineering
SparkDatabricksTerraformDatadogML modelsLLM
AWS LambdaAWS ECSAWS SQSAWS ElastiCacheAirflowSparkDatabricksTerraformDatadog
PythonAWSLambdaECSSQSElastiCacheAirflowSparkDatabricksTerraformDatadogDistributed systemsEvent-driven architectureData engineeringML modelsLLMScalable systems
PythonAWSLambdaECSSQSElastiCacheAirflowSparkDatabricksTerraformDatadogDistributed systemsEvent-driven architectureData engineeringML modelsLLMScalable systems
collaborationproblem-solvingcommunicationadaptabilityinitiative
Industry SaaS
Job Function Develop and optimize large-scale data and service pipelines in Python and AWS
Software Engineer IIPythonAWSLambdaECSSQSElastiCacheEvent-driven systemsDistributed systemsData engineeringML modelsLLMScalable systemsAWS LambdaAWS ECSAWS SQSAWS ElastiCacheAirflowSparkDatabricksTerraformDatadogEvent-driven architecture

Lack of experience with Python and AWS services, No background in distributed or event-driven systems, On-site only role, no remote flexibility

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