✦ Luna Orbit — Data & Analytics

Data Engineering Associate - Associate

at Morgan Stanley

📍 New York, New York, United States of America Unknown Posted April 02, 2026
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Bachelor's degree in computer science, Engineering, or a related field (or equivalent practical experience)
Category Data & Analytics

Data & Analytics Engineering role at Associate level, responsible for building and maintaining big data pipelines, AI-assisted tooling, and scalable data processing for enterprise analytics.

  • Support the design and development of big data pipelines
  • Develop and maintain Python-based data processing components
  • Utilize AI-assisted development tools to improve productivity and code quality
  • Monitor data pipelines for quality, reliability, and observability
  • Collaborate with senior engineers and analysts on scalable data models and ingestion patterns

Stack includes Python, Apache Spark, distributed systems, cloud platforms (AWS/Azure/GCP), Linux/UNIX, CI/CD, and data modeling with a focus on data pipelines and observability.

The ideal candidate is an associate-level data engineer with 3+ years in data engineering/big data, fluent in Python and Apache Spark, and familiar with cloud platforms (AWS/Azure/GCP). They should be comfortable working on AI-assisted development tools and building scalable data pipelines.

Bachelor's degree in computer scienceEngineeringor a related field (or equivalent practical experience)3+ years of experience or strong academic/project experience in data engineering or big data systemsWorking knowledge of Python for data processing and automationWorking knowledge of Apache SparkUnderstanding of distributed systems fundamentalsFamiliarity with cloud platforms (AWSAzureor GCP)Exposure to AI-powered developer toolsStrong problem-solving skills and willingness to learnComfortable working in Linux/UNIX environmentsCI/CD activities for data pipelines
Experience with KafkaRedisBig Data technologiesData quality and observabilityData modelingIngestion patternsStreaming data
PythonApache SparkLinux/UNIXAWSAzureGoogle Cloud PlatformCI/CD
['Python''SQL / PostgreSQL''Apache Spark''Distributed systems''Big data''Data pipelines''Cloud platforms''AWS''Azure''Google Cloud Platform''Linux/UNIX''CI/CD''AI-assisted development tools''Code quality''Observability''Data models''Ingestion''Batch processing''Streaming''Data processing']
PythonApache SparkDistributed systemsBatch processingStreaming data ingestionData pipelinesData processingData modelsCI/CDLinux/UNIXCloud platforms (AWSAzureGCP)AI-powered development toolsCode qualityObservabilitySQL / PostgreSQL
Problem-solvingWillingness to learnCollaborationCommunicationAdaptability
Industry Banking
Job Function Data & Analytics Engineer (Associate) building scalable data pipelines and AI-assisted tooling for enterprise analytics
Role Subtype Data Engineer
Tech Domains Python, SQL / PostgreSQL, Linux, Google Cloud Platform, Amazon Web Services, Microsoft Azure
data engineerassociatepythonapache sparkdistributed systemsbig datadata pipelinescloud platformsawsazuregoogle cloud platformgcplinuxunixci/cdai-assisted development toolscode qualityobservabilitydata modelsingestionbatch processingstreamingdata processing

Bachelor's degree required, 3+ years data engineering/big data experience

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