Data Engineer - Associate at Morgan Stanley
Description
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
This is a Data Engineering position at Associate level, which is part of the job family responsible for providing specialist data analysis and expertise that drive decision-making and business insights as well as crafting data pipelines, implementing data models, and optimizing data processes for improved data accuracy and accessibility, including applying machine learning and AI-based techniques.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
Morgan Stanley is a leading global financial services firm, providing investment banking, securities, wealth management, and investment management services in over 40 countries.
The firm is recognized for its commitment to innovation, integrity, and delivering value to clients, shareholders, and communities worldwide.
About Finance Technology Finance Technology at Morgan Stanley delivers innovative solutions for regulatory and financial reporting, general ledger, P&L calculations, and analytics.
The team leverages advanced data platforms and modern engineering practices to support the firm’s finance division, ensuring accuracy, compliance, and strategic business insights.
Responsibilities Design, develop, and maintain robust data pipelines, ETL processes, and large-scale data warehouse solutions to support enterprise-level reporting and analytics initiatives.
- Role: Data Engineer - Associate
- Company: Morgan Stanley
- Location: New York, NY
- Job found on: 21st of February, 2026
-
You can now practice a tailored interview designed specifically for this role, or a similar position, to boost your readiness and confidence:
Practice Interview Now


