Data Engineering at Boston Scientific
Roles, Comp & Culture
An L4 mid data engineer at Boston Scientific sits around $123K total comp from 17 verified salary datapoints. The ladder runs from about $123K at entry up to $123K. Boston Scientific pays data engineers slightly below other Technology companies. Reviews put them at 4.1 on Glassdoor, among the highest of any company here. Employee sentiment at Boston Scientific reads neutral and employee happiness has held flat over the past year. Layoff risk scores low for the next 30 days.
Boston Scientific data engineer compensation
Each level's figure is the median of individual Boston Scientific 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.
Boston Scientific 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 trade here is stability in exchange for ceiling. Glassdoor sits at 4.1, among the highest of the companies we track, and the layoff signal is low risk with no tracked layoffs in the past 12 months. That's a real thing for engineers who've weathered tech-sector volatility. What you give up is comp: pay lands slightly below other Technology companies, and the 2-level salary structure suggests limited internal mobility on the ladder. Blind sentiment runs mixed, which tracks with a company where mission and stability matter to the people who stay, while engineers who want aggressive compensation growth or a rapid-promotion culture tend to leave frustrated. The tension is real and the signals don't resolve it cleanly, so your own priorities do the work here.
Recent Boston Scientific events
Layoffs, leadership changes, and other major moves at the company, with dates.
5 executive departures over the past twelve months is worth watching. That kind of leadership churn can signal a reorganization in progress, which sometimes clears the way for infrastructure investment and sometimes means data teams absorb scope without added headcount. no open data engineering roles right now, which makes the near-term picture thin for candidates actively searching. The company's medical device segment has been growing through acquisition, so pipeline work tied to integration is plausible over the next year, but hiring pace in data engineering appears cautious. Someone joining now should expect an environment where resourcing decisions move slowly, stakeholder alignment takes time, and careful scoping is not optional.
- Exec departureFeb 2026Leadership change
- Exec departureFeb 2026Leadership change
- Exec departureNov 2025Leadership change
- Exec departureOct 2025Leadership change
- Exec departureSep 2025Leadership change
- Exec departureApr 2025Leadership change
- Exec departureFeb 2025Leadership change
Notable company events we track, with dates.
Boston Scientific makes implantable cardiac devices, endoscopy equipment, and neuromodulation hardware, which means the data engineering function sits at the intersection of clinical trial data, manufacturing quality signals, and post-market surveillance obligations under FDA and EU MDR. Engineers here are likely working with regulated data pipelines where a schema change or a late SLA has compliance implications, not just operational ones. The device lifecycle generates dense time-series data from R&D through field performance, and connecting those domains into coherent reporting is hard work. If you've spent your career in fintech or e-commerce, the regulatory surface alone will reshape how you think about data quality gates and audit trails.
Practice for the Boston Scientific loop
Round by round, the problems our model predicts for this company's interview. Rehearse the shapes their panels keep returning to.
The salary data skews toward entry and mid bands, with 19 reports total, so the sample reflects who actually applies and gets offers: engineers early to mid-career, typically around 6 years of experience at the upper band. If you're a senior or staff engineer maximizing total compensation, the ladder and the pay verdict argue against pursuing this. Where Boston Scientific fits is for a data engineer who wants to work on regulated, high-stakes pipelines, values job stability over equity upside, and finds the clinical domain interesting on its own terms. Prepare for a loop that likely emphasizes data modeling and pipeline reliability, and check the ladder before you negotiate.
Preparing for the Boston Scientific loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Boston Scientific with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Boston Scientific 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