Data Engineering at Bristol Myers Squibb
Roles, Comp & Culture
An L6 staff data engineer at Bristol Myers Squibb sits around $204K total comp from 18 verified salary datapoints. The primary Data Engineering tech consists of Databricks, AWS and Tableau, according to current job listings. Bristol Myers Squibb pays data engineers in line with other Healthcare companies. Reviews put them at 3.7 on Glassdoor, a little below the middle of the pack. Employee sentiment at Bristol Myers Squibb reads neutral and employee happiness is trending up over the past year. Layoff risk scores low for the next 30 days. 10 data engineering roles are open right now.
Bristol Myers Squibb data engineer compensation
Each level's figure is the median of individual Bristol Myers Squibb 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.
Bristol Myers Squibb 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.
Bristol Myers Squibb data engineering tech stack
The languages, storage, and processing tools Bristol Myers Squibb data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQLBristol Myers Squibb data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Create and maintain optimal data pipeline architecture, assemble large, complex data sets that meet functional / non-functional business requirements.
Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and integration processes
Help design and build scalable ETL/ELT pipelines and data models using Databricks, Delta Lake, cloud-native tools, semantic modeling, and interoperability standards for large, complex cross-study and specimen datasets in life sciences.
Optimize the data platform for performance, scalability, interoperability, availability, and cost-effectiveness using techniques such as cloud-native parallel processing, Databricks Delta Lake, caching, and partitioning.
Design and implement effective incremental load strategies to facilitate efficient data processing.
Documentation Create and maintain comprehensive documentation for data pipelines, data models, and integration processes
Practice for the Bristol Myers Squibb 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 Bristol Myers Squibb loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Bristol Myers Squibb with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Bristol Myers Squibb 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