Data Engineering Associate - Associate

Morgan Stanley

Base: $90,000 - $150,000; bonus/equity: not specif...
Python for data processing
Apache spark
Distributed systems fundamentals
The Data Engineer will support the design and development of big data pipelines and distributed data processing systems for enterprise analytics and data products

Job Summary

  • The Data Engineer will support the design and development of big data pipelines and distributed data processing systems for enterprise analytics and data products.
  • This role is ideal for early career engineers with strong fundamentals in Python, Apache Spark, distributed systems, and cloud-based data platforms, and an interest in using AI assisted tools to improve productivity and code quality.
  • Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years.

Matching Summary

The Data Engineer will support the design and development of big data pipelines and distributed data processing systems for enterprise analytics and data products.

Salary

Base: $90,000 - $150,000; Bonus/Equity: Not specified; Benefits: Not specified

Skills & Requirements

Must-have

  • Python for data processing
  • Apache Spark
  • distributed systems fundamentals
  • cloud-based data platforms
  • Linux/UNIX environments

Nice-to-have

  • AI assisted development tools
  • enterprise analytics
  • data products
  • early career engineers

Key Requirements

  • Bachelor’s degree or equivalent practical experience
  • 3+ years of experience in data engineering
  • Working knowledge of Python
  • Working knowledge of Apache Spark
  • Understanding of distributed systems
  • Familiarity with cloud platforms
  • Exposure to AI-powered developer tools

Work Rights

Not specified

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