Data Engineering at CNA FINANCIAL CORP
Roles, Comp & Culture
An L6 staff data engineer at CNA FINANCIAL CORP sits around $173K total comp from 5 verified salary datapoints. The ladder runs from about $151K at senior up to $173K. CNA FINANCIAL CORP pays data engineers in line with other Insurance companies. Reviews put them at 4.0 on Glassdoor, a little above the middle of the pack. Employee sentiment at CNA FINANCIAL CORP reads neutral and employee happiness has held flat over the past year. Layoff risk scores low for the next 30 days.
CNA FINANCIAL CORP data engineer compensation
Each level's figure is the median of individual CNA FINANCIAL CORP 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.
CNA FINANCIAL CORP 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 CNA FINANCIAL CORP events
Layoffs, leadership changes, and other major moves at the company, with dates.
- Exec departureNov 2025Leadership change
- Exec departureJul 2025Leadership change
Notable company events we track, with dates.
Preparing for the CNA FINANCIAL CORP loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare CNA FINANCIAL CORP with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at CNA FINANCIAL CORP 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