Data Engineering at Morgan Stanley
Roles, Comp & Culture
An L7 principal data engineer at Morgan Stanley sits around $210K total comp from 35 verified salary datapoints. The primary Data Engineering tech consists of PostgreSQL, AWS and Databricks, according to current job listings. Morgan Stanley pays data engineers slightly below other Finance companies. Reviews put them at 3.9 on Glassdoor, a little above the middle of the pack. Employee sentiment at Morgan Stanley reads neutral and employee happiness is trending down over the past year. Layoff risk scores low for the next 30 days. 5 data engineering roles are open right now.
Morgan Stanley data engineer compensation
Each level's figure is the median of individual Morgan Stanley offers at that level, so it reflects a typical outcome rather than an average pulled up by a few large packages. Total comp counts base salary plus equity and bonus annualized over the vest, and the range shown is the middle half of offers, with the top and bottom quarters trimmed off.
Morgan Stanley employee sentiment, tracked weekly
Employee happiness for data engineers over the past year, so you can see which direction it is moving, not just where it sits today.
Recent Morgan Stanley events
Layoffs, leadership changes, and other major moves at the company, with dates.
- LayoffMay 2026Layoff
- LayoffMay 2026Layoff
Notable company events we track, with dates.
Morgan Stanley data engineering tech stack
The languages, storage, and processing tools Morgan Stanley data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQLMorgan Stanley data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Teams operate globally, owning systems end-to-end with strong focus on innovation and engineering excellence
Develop, maintain, and operationalize data quality controls on portfolio transaction, holding, and valuation datasets.
This is a Software Engineering position at the Vice President level, which is part of the job family responsible for developing and maintaining software solutions that support business needs.
Develop a thorough understanding of technology systems, data stores, data pipelines, job streams, and downstream data consumers.
The Lead Data engineer needs to be an expert in writing and optimizing SQL queries.
Practice for the Morgan Stanley loop
Round by round, the problems our model predicts for this company's interview. Rehearse the shapes their panels keep returning to.
Preparing for the Morgan Stanley loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Morgan Stanley with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Morgan Stanley interview difficulty
- 01
Reading a solution is not the same as writing one
Every engineer who has frozen on a query they had read a dozen times knows the gap. The only preparation that closes it is producing the answer yourself, under time, before the interview does it for you
- 02
76% of hiring managers reject on the coding task, not the resume
From HackerRank's 2024 Developer Skills Report. Candidates who look strong on paper still fail the live screen if they haven't done timed, executable practice
- 03
5 problem shapes cover 80% of data engineer loops
Dedup, sessionization, top-N-per-group, slowly-changing dimensions, partition tricks. Writing the shapes by hand turns the unfamiliar into pattern recognition