Data Engineering at Merck
Roles, Comp & Culture
An L5 senior data engineer at Merck sits around $192K total comp from 17 verified salary datapoints. The primary Data Engineering tech consists of Fabric, Power BI and AWS, according to current job listings. Merck pays data engineers above other Healthcare companies. Reviews put them at 4.1 on Glassdoor, among the highest of any company here. Employee sentiment at Merck reads neutral and employee happiness is trending up over the past year. Layoff risk scores low for the next 30 days. 9 data engineering roles are open right now.
Merck data engineer compensation
Each level's figure is the median of individual Merck 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.
Merck 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.
Merck data engineering tech stack
The languages, storage, and processing tools Merck data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQL
FabricMerck data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Build and maintain robust, scalable data pipelines that ingest experimental and process data from upstream biologics source systems
Design and implement robust, scalable data pipelines that ingest experimental and process data from biologics source systems, including process historians, chromatography systems, electronic lab notebooks, and analytical instruments.
Design the lab of the future by developing technologies that integrate robotics, analytical instrumentation, and software into cohesive, high-performing solutions
Design, build, and optimize data pipelines and transformations to consolidate operational data from multiple sources into high-quality, analytics-ready datasets.
Design and implement robust, scalable data pipelines that ingest experimental and process data from SPD teams.
Preparing for the Merck loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Merck with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Merck 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