Raymond James Financial Data Engineer Interview Guide

The Raymond James Financial data engineer loop, round by round: what each stage tests, example questions with the guidance interviewers actually score, the mistakes that sink strong candidates, and how to prepare.

Last updated: July 31, 2026Proudly published by: Jeff Wahl

Try a Raymond James Financial-style SQL round

Find every user active on 3 or more CONSECUTIVE days. This gaps-and-islands shape shows up in nearly every DE SQL round. Edit the query and run it against the seed data.

	/* Users active on 3+ consecutive days. */
	/* Hint: date minus a per-user ROW_NUMBER is constant within a streak. */
	WITH streaks AS (
	SELECT
	user_id,
	activity_date,
	activity_date - CAST(
	(ROW_NUMBER() OVER (
	PARTITION BY user_id
	ORDER BY activity_date
	))
	AS INT
	) AS grp
	FROM user_sessions
	)

	SELECT
	user_id
	FROM streaks
	GROUP BY user_id, grp
	HAVING COUNT(*) >= 3

Raymond James Financial is hiring data engineers now

The roles behind this loop. Prep against the levels and locations they are actually filling.

Hiring now

Raymond James Financial data engineer · live from career pages

open roles

city

Lead the design and development of enterprise-grade Python applications and distributed systems.

L7St. Petersburg38d ago

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.

L7St. Petersburg50d ago

Design and develop scalable ETL pipelines using AWS Glue and PySpark.

L5St. Petersburg77d ago

Python Development: Design, develop, and maintain Python applications and scripts.

L5St. Petersburg78d ago

New postings per week

5/11

6/8

6/22

week beginning · ~6 weeks of data

Levels hiring

L52L72

Updated Jul 31, 20266 open listings across 1 city

Raymond James Financial compensation and culture

The numbers, tech stack, and team structure live on the company overview.

Data engineering at Raymond James Financial→

The role, comp by level, tech stack, teams, and culture signals.

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How the role, pay, and loop stack up against peer companies.

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02 / Why practice

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

Practice Raymond James Financial-level SQL

The Raymond James Financial DE role, comp, tech stack, and culture.

DE Interview Prep Guide→

Complete preparation framework for data engineering interviews.

Data Modeling Questions→

Star schema, SCD, grain definition, and normalization.

Raymond James Financial Data Engineer Interview Guide

Try a Raymond James Financial-style SQL round

Raymond James Financial is hiring data engineers now

Raymond James Financial compensation and culture

Compare Raymond James Financial with other data engineering employers

Prepare at Raymond James Financial interview difficulty

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