The Data Engineering Associate role at Morgan Stanley involves supporting the design and development of big data pipelines and distributed data processing systems. This position is ideal for early career engineers with a strong foundation in Python, Apache Spark, and cloud-based data platforms. The team focuses on leveraging innovation to enhance data accuracy and accessibility while applying AI-assisted tools to improve productivity. The role offers an opportunity to collaborate with senior engineers and contribute to enterprise analytics and data products.

• Bachelor's degree in computer science, Engineering, or a related field.
• 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 through coursework, internships, or projects.
• Understanding of distributed systems fundamentals such as partitioning and fault tolerance.
• Familiarity with cloud platforms like AWS, Azure, or GCP.
• 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.

• Support the design and development of big data pipelines and distributed data processing systems.
• Assist in building and maintaining large scale data pipelines using Apache Spark.
• 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.
• Participate in testing, deployment, and CI/CD activities for data pipelines.
• Document data flows, pipelines, and operational procedures.

• Morgan Stanley offers extensive benefits that support employees’ careers, health, finances, and families, including top-tier medical coverage, mental health support, generous parental leave, fertility and family-building benefits, and robust retirement and stock purchase plans. Employees also gain access to continuous learning and networking opportunities, volunteer and giving programs aligned with the firm’s values, and hundreds of lifestyle perks like discounted products, cultural and entertainment tickets, and commuter savings.