Data Engineering at Truist Financial
Roles, Comp & Culture
An L4 mid data engineer at Truist Financial sits around $111K total comp from 13 verified salary datapoints. The primary Data Engineering tech consists of Azure, CI/CD and Data Factory, according to current job listings. Truist Financial pays data engineers below other Finance companies. Reviews put them at 3.2 on Glassdoor, toward the bottom of the pack. Employee sentiment at Truist Financial reads neutral and employee happiness is trending up over the past year. Layoff risk scores low for the next 30 days. 2 data engineering roles are open right now.
Truist Financial data engineer compensation
Each level's figure is the median of individual Truist 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.
Truist 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.
Truist Financial data engineering tech stack
The languages, storage, and processing tools Truist Financial data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
Truist Financial data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Design, build, and maintain data pipelines, ingestion workflows, and transformation logic that deliver clean, governed, and reliable data to AI systems, analytics tools, and enterprise consumers.
Lead research, analyze, design, develop and/or maintain data sources in support of projects, information needs and business requirements.
Preparing for the Truist Financial loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Truist Financial with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Truist 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