Data Engineering Associate

Data Engineering Associate - Associate

Morgan Stanley is seeking a Data Engineering Associate to join their Technology division. This role focuses on leveraging innovation to build capabilities that power the firm and shape the future of markets.

About the Role

This is a Data & Analytics Engineering position at the Associate level. The job family is responsible for providing specialist data analysis and expertise to drive decision-making and business insights. Key responsibilities include crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility. This role also involves applying machine learning and AI-based techniques.

About Morgan Stanley

Since 1935, Morgan Stanley has been a global leader in financial services, operating in over 40 countries. The firm is committed to continuous evolution and innovation to serve clients and communities.

What You Will Do

• Support the design and development of big data pipelines and distributed data processing systems for enterprise analytics and data products.
• Assist in building and maintaining large scale data pipelines using Apache Spark and distributed processing frameworks.
• Support batch and streaming data ingestion and transformation workflows.
• Develop and maintain Python-based data processing and validation components.
• Use AI-assisted development tools to improve development efficiency and quality.
• Monitor data pipelines to ensure data quality, reliability, and observability.
• Collaborate with senior engineers, architects, and analysts on scalable data models and ingestion patterns.
• Participate in testing, deployment, and CI/CD activities for data pipelines.
• Document data flows, pipelines, and operational procedures.

What You Will Bring

• Bachelor’s degree in computer science, Engineering, or a related field (or equivalent practical experience).
• 3+ years of experience or strong academic/project experience in data engineering or big data systems.
• Working knowledge of Python for data processing and automation.
• Working knowledge of Apache Spark (coursework, internships, or projects acceptable).
• Understanding of distributed systems fundamentals (e.g., partitioning, fault tolerance, scalability).
• Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) and cloud-based data services.
• Exposure to AI-powered developer tools for coding, testing, or documentation.
• Strong problem-solving skills and willingness to learn in a fast-paced environment.
• Comfortable working in Linux/UNIX environments.

What You Can Expect from Morgan Stanley

Morgan Stanley is committed to maintaining a high standard of excellence. Their values include putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back. They offer an environment where employees are supported and empowered, working alongside diverse, collaborative, and creative teams. The company provides comprehensive employee benefits and perks and ample opportunity for career growth.

Key Skills/Competency

• Data Engineering
• Python
• Apache Spark
• Distributed Systems
• Cloud Platforms (AWS, Azure, GCP)
• Data Pipelines
• Data Modeling
• AI-assisted Development
• Data Quality
• Linux/UNIX