Data Engineering at Hntb
Roles, Comp & Culture
An L4 mid data engineer at Hntb sits around $112K total comp from 10 verified salary datapoints. The primary Data Engineering tech consists of Airflow, AWS and Azure, according to current job listings. Hntb pays data engineers below other Technology companies. Reviews put them at 3.6 on Glassdoor, a little below the middle of the pack. Employee sentiment at Hntb reads neutral and employee happiness is trending up over the past year. Layoff risk scores low for the next 30 days. 1 data engineering role is open right now.
Hntb data engineer compensation
Each level's figure is the median of individual Hntb 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.
Hntb 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.
Hntb data engineering tech stack
The languages, storage, and processing tools Hntb data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
Hntb data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Preparing for the Hntb loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Hntb with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Hntb 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