Data Engineering at Amgen
Roles, Comp & Culture
An L6 staff data engineer at Amgen sits around $223K total comp from 30 verified salary datapoints. The ladder runs from about $99K at entry up to $223K. Amgen pays data engineers slightly above other Healthcare companies. Reviews put them at 3.8 on Glassdoor, a little above the middle of the pack. Employee sentiment at Amgen reads neutral and employee happiness is trending up over the past year. Layoff risk scores low for the next 30 days.
Amgen data engineer compensation
Each level's figure is the median of individual Amgen 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.
Amgen 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 Amgen events
Layoffs, leadership changes, and other major moves at the company, with dates.
- Exec departureApr 2026Leadership change
Notable company events we track, with dates.
Practice for the Amgen loop
Round by round, the problems our model predicts for this company's interview. Rehearse the shapes their panels keep returning to.
Preparing for the Amgen loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Amgen with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Amgen 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