Data Engineering at Raymond James Financial
Roles, Comp & Culture
An L5 senior data engineer at Raymond James Financial sits around $164K total comp from 7 salary datapoints. The primary Data Engineering tech consists of AWS, Kafka and Airflow, according to current job listings. Raymond James Financial pays data engineers in line with other Finance companies. Reviews put them at 4.0 on Glassdoor (a little above the middle of the pack) and positive sentiment on Blind. Employee sentiment at Raymond James Financial reads neutral and employee happiness is trending up over the past year. Layoff risk scores low for the next 30 days. 6 data engineering roles are open right now.
Raymond James Financial data engineer compensation
Each level's figure is the median of individual Raymond James Financial 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.
Raymond James Financial 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 Raymond James Financial events
Layoffs, leadership changes, and other major moves at the company, with dates.
- Exec departureMay 2025Leadership change
- Exec departureFeb 2025Leadership change
- Exec departureDec 2024Leadership change
Notable company events we track, with dates.
Raymond James Financial data engineering tech stack
The languages, storage, and processing tools Raymond James Financial data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQLRaymond James Financial data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Lead the design and development of enterprise-grade Python applications and distributed systems.
Real-Time and Batch Data Architecture: Define patterns for both batch and real-time data movement, including Kafka schemas, event-driven design, data contracts, schema governance, replication, CDC, ETL/ELT, medallion architecture layers, and data quality controls across pipelines.
Design and develop scalable ETL pipelines using AWS Glue and PySpark.
Python Development: Design, develop, and maintain Python applications and scripts.
Preparing for the Raymond James Financial loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Raymond James Financial with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Raymond James Financial 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