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 has held flat 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.
The employer bargain at BMS reflects a large, mature pharma company: job security is real, the work is consequential, and the data problems are technically interesting in ways that smaller companies cannot offer. What you give up is pace. Decisions move through compliance review cycles and cross-functional sign-off that software-native companies never deal with, and engineers who need to ship fast and iterate publicly will find that friction uncomfortable. Glassdoor sits at 3.7, a little below the middle of the pack, and Blind sentiment reads mixed, which together suggest BMS has a reasonable but not enthusiastic workforce. Happiness is neutral and roughly flat, which is an improvement worth noting without over-reading a single trend. Pay at L6 comes in in line with other Healthcare companies, so comp is fair for the sector without being a primary draw.
BMS has 10 open data engineering roles across 4 cities, with Princeton as the center of gravity, suggesting active headcount growth on the data side despite the general pharma cost-discipline cycle that has hit peers harder. The 30-day layoff risk reads low, which is consistent with a company that restructured earlier and has stabilized. The broader pharma sector is investing in real-world evidence, AI-accelerated drug discovery, and commercial data platforms, and BMS has publicly committed resources to each of those areas; engineers joining now are likely to land during build-out rather than maintenance mode. That said, pharma data platform investments have historically gone through long incubation periods before they reach production scale, so 'building' can mean 2 to 3 years of foundational work before the pipeline is doing anything a recruiter would call exciting.
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.
Bristol Myers Squibb runs one of the more data-intensive operations in pharma: clinical trial pipelines, regulatory submissions, pharmacovigilance reporting, and commercial analytics all generate data problems that have hard latency and compliance requirements baked in by law, not just by engineering preference. The Databricks, AWS and Tableau stack visible in current listings points toward a cloud-first lakehouse model, with Databricks doing most of the heavy lifting for trial data processing and SQL, Python and PySpark covering the query and transformation layer. FDA submission windows and audit-trail requirements mean that lineage, schema governance, and reproducibility matter more here than at a typical enterprise. A data engineer at BMS is often working at the intersection of R&D data and commercial data, which means the domain vocabulary (cohorts, endpoints, adverse events, claims) is genuinely specialized and takes time to internalize.
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.
The seniority distribution in the salary pool skews toward senior and staff, with 8 senior reports and 9 at L6, and entry at L4; BMS is not a company that hires large cohorts of junior data engineers and grows them up. If you're mid-level or above, with pharma or life-sciences domain exposure, or with strong experience on Databricks-centered lakehouses, the fit is genuine. Engineers who thrive here tend to be patient with process, comfortable with regulated environments, and interested in data problems that have clinical or commercial stakes. If you want a fast feedback loop, a modern devex culture, or compensation that pushes past $204K at L6, this is probably not your market. If BMS is the right fit, the interview centers on pipeline architecture, so prep your pipeline design thinking and review the salary ladder before you engage.
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