Becton Dickinson Data Engineer Salary by Level

The 11 data engineer salary reports on file skew heavily toward the mid level, where 7 of those reports sit, with 4 at staff. That distribution is worth keeping in mind as you read the figures: the mid median rests on enough reports to carry real weight, while the staff band, though plausible, is thinner and deserves correspondingly less confidence in its precision. Reporting spans multiple years, so more recent offers may diverge from older ones as BD's compensation bands update; reports from the past 12 to 18 months deserve more weight than earlier filings. A portion of the figures come from public H-1B and compensation disclosure filings that capture base salary only, with bonus and equity estimated from peer ratios rather than self-reported totals. Verified self-reported offers, where a data engineer submitted full comp including equity and bonus, are the more reliable anchors in the pool.

Becton Dickinson's comp structure at the data engineering level runs closer to a traditional corporate model than to the equity-heavy packages common at software-native firms. Base salary carries the largest share of total compensation, and the gap between $130K at mid and $142K at L6 suggests the base bands are relatively compressed across the 2-rung ladder. BD is a publicly traded medical device and diagnostics company, so RSU grants exist, but the equity component at the individual contributor level tends to be a smaller fraction of total comp than you'd see at a high-growth tech firm; annual grants are typically modest relative to base rather than structured as the primary wealth-building vehicle. Cash bonus eligibility exists in most corporate bands, but BD's bonus programs historically tie to company-wide performance targets rather than team or individual output. The practical effect is that your realized annual pay tracks your base closely, without the variance that comes from a large equity refresh cycle.

BD's pay sitting below other Technology companies is consistent with what you'd expect from a company where data engineering is a support function inside a regulated manufacturing and commercial operation rather than a revenue-generating product surface. At software-first companies, data platform investment is often a direct input to product differentiation, which bids up talent; at BD, the data infrastructure primarily serves internal consumers in quality, supply chain, and commercial analytics, which reduces the competitive pressure to match market-rate packages. The likeliest read is also that BD's hiring pool draws from adjacent industries, including pharma, medical devices, and manufacturing, where compensation norms run below pure-tech comparables, which moderates what the market requires them to pay. Franklin Lakes is not a dense tech labor market, so geographic pricing plays a role too. None of that is a flaw in the employment proposition, but it does mean the discount is structural rather than a negotiating artifact you can close entirely.

The $130K to $142K step from mid to staff is real money, and if you have the experience profile to make a credible case for staff at the offer stage, that is where your energy belongs: BD's bands are relatively rigid once set, and getting leveled correctly at entry matters more here than at employers where in-cycle adjustments are common. Base is the most negotiable component; equity and bonus are largely formula-driven and harder to move outside of leveling decisions. A competing offer from another employer, particularly one outside BD's typical labor market, is the clearest lever you have, since it forces the conversation outside the internal band logic. Bring it early in the negotiation, before a number is anchored in writing. The highest-value action for a candidate holding or expecting an offer is to know concretely which level you're being slotted into and to ask directly what it would take to reach the next one, since at BD the difference between landing at mid versus staff is the largest single move available to you.