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© All Rights Reserved. ApplyBlast.com
Morgan Stanley
A Senior Data Engineer at Morgan Stanley designs, models, and manages data warehouse objects within the Snowflake ecosystem to modernize tooling enablement. The role involves building scalable data pipelines using Talend and Informatica, optimizing data workflows, and integrating data governance with data science tools. Candidates will collaborate with cross-functional teams to implement efficient SQL and Python scripts while ensuring high-quality data ingestion and automation.
Headquarters
New York, New York, United States
Company Size
10001+ employees
Founded
1935
Morgan Stanley is a global leader in financial services, providing wealth management, investment banking, sales and trading, research, and investment management services to individuals, institutions, and governments. Founded in 1935, the firm helps clients raise, manage, and distribute capital to achieve their financial goals. Morgan Stanley operates across public and private markets with a workforce of more than 80,000 employees worldwide.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Morgan Stanley.
Morgan Stanley didn’t post a salary, so this is our estimate from similar listings.
22% above the average for this role