Data Engineering at Becton Dickinson
Roles, Comp & Culture
An L6 staff data engineer at Becton Dickinson sits around $142K total comp from 9 verified salary datapoints. The ladder runs from about $130K at mid up to $142K. Becton Dickinson pays data engineers below other Technology companies. Employee sentiment at Becton Dickinson reads neutral and employee happiness is trending down over the past year. Layoff risk scores low for the next 30 days.
Becton Dickinson data engineer compensation
Each level's figure is the median of individual Becton Dickinson 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.
Becton Dickinson 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 Becton Dickinson is a trade most data engineers should go in clear-eyed about. Pay sits below other Technology companies: $130K at mid and $142K at L6 are meaningful haircuts against what a similarly credentialed engineer earns at a software-native company. What you get in return is stability, mission adjacency in healthcare, and work inside a mature enterprise where pipelines tend to run for years rather than get rewritten on a quarterly roadmap. The Blind read is mixed, and internal sentiment is neutral and trending down, which suggests the tradeoffs are real rather than just a matter of framing. BD is not a place where data engineering is a first-class cost center, and that shows in both compensation and the pace at which data infrastructure modernizes.
Recent Becton Dickinson events
Layoffs, leadership changes, and other major moves at the company, with dates.
The trajectory signal here is cautious. no tracked layoffs in the past 12 months, which is genuinely reassuring in a market where that matters, and the low 30-day layoff risk reinforces that stability read. The concern is 5 executive departures over the past 12 months, which is a real number at a company this size and typically precedes strategic churn in a way that filters down to engineering org structure and roadmap continuity. no open data engineering roles as of Aug 2, 2026, so this is not a company in an active expansion phase for data engineering right now. If you're joining in the next year, you're more likely stepping into a maintenance and modernization posture than a greenfield build. That can be fine if you want depth over breadth, but it's worth knowing you're not walking into a hiring wave.
- Exec departureApr 2026Leadership change
- M&AFeb 2026Acquisition / merger
- Exec departureJan 2026Leadership change
- Exec departureDec 2025Leadership change
- Exec departureNov 2025Leadership change
- Exec departureOct 2025Leadership change
- Exec departureMar 2025Leadership change
- Exec departureJan 2025Leadership change
Notable company events we track, with dates.
Becton Dickinson makes medical devices and diagnostics, which means the data engineering work sits inside a heavily regulated environment. FDA submission cycles, adverse event reporting, serialization and traceability requirements, and supply chain visibility across a global manufacturing footprint are the real data problems here. A data engineer at BD is likely building and maintaining pipelines that feed quality systems, device lifecycle tracking, or commercial analytics, not a consumer recommendation engine. The tooling tends toward the enterprise end of the spectrum, as you'd expect from a company this size with SAP and Oracle at the center of its ERP layer. That context shapes the day-to-day: schema stability, audit trails, and SLA compliance with downstream regulatory consumers matter more than throughput experiments or streaming innovation. If you want to work on data problems where correctness and traceability carry legal weight, BD gives you that.
Walk into Becton Dickinson knowing the SQL pattern they'll test.
The 2-level ladder and 11 total salary reports tell you this is a thin market for BD data engineering offers. The role is real but not a common landing spot, and the data suggests they hire mostly at the mid level with a staff ceiling that the 9 years-of-experience median makes clear is not a fast track. Engineers who fit best here have a background in healthcare, manufacturing, or regulated industries, are comfortable in enterprise integration environments rather than cloud-native greenfield shops, and value employment stability and mission over market-rate comp. If you need competitive pay or want work at the edge of data infrastructure, this isn't the right fit. If you're coming from a similarly regulated industry and want the security of a large diversified healthcare company, it's worth pursuing the loop and checking where you'd land on the ladder.
Preparing for the Becton Dickinson loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Becton Dickinson with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Becton Dickinson 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