Data Science Engineer - Associate at E*TRADE from… · New York

Summary: Morgan Stanley is a leading global financial services firm providing investment banking, securities, investment management, and wealth management services. They are seeking an Associate-level Data Science Engineer to support Project Cortex, focusing on building metadata and lineage platforms for Finance systems. Responsibilities: - Assist in building metadata ingestion pipelines to capture feed, dataset, and attribute-level lineage - Support development of lineage models representing data flow across Finance pipelines and reports - Write and maintain Python and SQL code for metadata extraction, transformation, and validation - Analyze metadata and reporting attributes to identify relationships and dependencies - Contribute to building and maintaining structured metadata tables - Support testing, validation, and documentation of lineage outputs - Collaborate with global teams using an agile development process - Participate in sprint planning, backlog refinement, and code reviews Required Qualifications: - Strong foundation in Python and SQL - Understanding of data structures, relational data models, and normalization - Exposure to data engineering or analytics pipelines - Ability to analyze structured datasets and derive relationships - Strong analytical and problem-solving skills - Willingness to learn enterprise-scale data platforms and Finance systems - Strong communication skills and ability to work in a collaborative team environment - Master's degree in Data Science, Applied Data Science, Computer Science, Engineering, or a related field (or Bachelor's degree with strong relevant coursework) - Strong academic performance and hands-on project experience - Prior internship or research experience in data science or data engineering is a plus Preferred Qualifications: - Exposure to metadata, lineage, or data governance concepts - Familiarity with cloud data platforms or distributed data processing - Experience with machine learning or statistical modeling from academic projects - Interest in Finance or reporting data domains Required Skills: Python, SQL Important Skills: Data engineering, Data analysis Nice-to-Have Skills: Analytical skills, Willingness to learn, Exposure to metadata, Cloud data platforms, Machine learning, Interest in Finance Benefits: Commission earnings, Incentive compensation, Discretionary bonuses, Other short and long-term incentive packages, Other Morgan Stanley sponsored benefit programs