Data Engineering at Edwards Lifesciences
Roles, Comp & Culture
An L4 mid data engineer at Edwards Lifesciences sits around $127K total comp from 15 verified salary datapoints. The primary Data Engineering tech consists of Spark, AWS and Databricks, according to current job listings. Edwards Lifesciences pays data engineers in line with other Healthcare companies. Reviews put them at 3.8 on Glassdoor, a little above the middle of the pack. Employee sentiment at Edwards Lifesciences reads neutral and employee happiness is trending up over the past year. Layoff risk scores low for the next 30 days. 3 data engineering roles are open right now.
Edwards Lifesciences data engineer compensation
Each level's figure is the median of individual Edwards Lifesciences 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.
Edwards Lifesciences 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 Edwards Lifesciences events
Layoffs, leadership changes, and other major moves at the company, with dates.
- Exec departureMay 2026Leadership change
- Exec departureOct 2025Leadership change
- Exec departureJul 2025Leadership change
- Exec departureMay 2025Leadership change
Notable company events we track, with dates.
Edwards Lifesciences data engineering tech stack
The languages, storage, and processing tools Edwards Lifesciences data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQL
IcebergEdwards Lifesciences data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Lead the most complex and ambiguous data engineering problems, including suite-level interoperability and device-data scale.
Design, build, and maintain scalable, well-documented enterprise data products and ETL/ELT pipelines supporting batch and near-real-time processing
Preparing for the Edwards Lifesciences loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Edwards Lifesciences with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Edwards Lifesciences 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