Autodesk Data Engineer Salary by Level

Autodesk's 17 data engineer reports split between 2 sources: verified individual offers, where a candidate submitted the full package and we confirmed the details, and base-only public filings whose total comp figures are modeled from peer ratios rather than reported directly. The verified tier carries more weight, and 11 of the 17 reports sit at mid-level, which makes the $185K median figure the most grounded number on this page. The 6 senior reports are thin enough that the $280K median can move meaningfully with a single new submission; treat the range $229K-$282K as the more reliable signal at that level than the midpoint alone. All figures reflect data engineering offers, not the broader software engineering bands that aggregate comp sites surface. The most recent update was Aug 2, 2026.

Autodesk structures its offers around base plus annual bonus plus RSU grants, a fairly standard enterprise-software package. Base tends to carry a large share of total comp at mid-level, with equity becoming a more meaningful slice at senior and above. RSU grants at ADSK vest on a standard 4-year schedule with a 1-year cliff, so the headline total comp number in any offer reflects an annualized estimate of unvested stock at the current share price, not cash in hand on day one. The subscription transition Autodesk completed has stabilized the stock somewhat compared to the perpetual-license era, but ADSK still moves with broader SaaS sentiment, which means the equity component of a senior offer can feel quite different 18 months in than it did at signing. For mid-level roles, the base-heavy structure makes the offer easier to compare across companies on a cash basis.

Autodesk paying above other Technology companies at these levels reflects a deliberate choice, not a default. The likeliest read is that Autodesk is competing for engineers who can work across a fragmented product portfolio, where the data complexity (connecting AutoCAD telemetry to Revit usage to BIM 360 events in a single subscription-health model) is real but not the kind of scale problem that commands a FAANG premium. That product complexity creates genuine demand for experienced data engineers, which pulls comp above the median for enterprise software, while the absence of a consumer-scale data problem or a primary-database business caps how far above it can go. The $280K at L5 sits in territory where Autodesk is competitive with similarly-sized enterprise SaaS companies while remaining well below what a candidate would see at a cloud-native platform or large-scale consumer tech firm. For a data engineer whose skills fit this product shape, the pay position is reasonable given the stability on offer.

The jump from $185K at L4 to $280K at L5 is substantial, which means leveling into a senior role at the start is worth pushing for if your pipeline architecture experience and years of experience can support it. Autodesk's hiring has concentrated at mid and senior, so there is genuine precedent for senior offers, and 20 years of experience in the senior pool suggests the bar is not unusually high. On negotiation: base tends to be the most flexible component at offer stage, particularly for candidates with a competing offer from another enterprise SaaS company in the same range. RSU grant size is often more rigid, especially for mid-level roles, though a competing equity package gives you something concrete to reference. The single highest-value move at this company is arriving at offer stage already leveled correctly; getting bumped from mid to senior after the fact is harder than entering at senior from the beginning, and the comp difference is large enough to matter across the full tenure.