AECOM Data Engineer Salary by Level

The thinness of the reporting pool is the first thing to weigh. 30 verified data engineer reports across only 2 ladder levels means the medians carry real statistical uncertainty, particularly at entry. The 9 junior reports and 21 mid-level reports are not spread evenly, and any level with fewer than a dozen offers deserves more skepticism than a level with 50. Some figures in the pool come from base-only public filings where bonus and equity totals are modeled from peer ratios rather than reported directly, so the all-in number for those offers is an estimate, not a disclosure. More recent offers carry more weight than older ones given how quickly the infrastructure labor market has shifted since 2023. The data was last updated Aug 2, 2026, which is current enough for planning purposes, but a reader with a live offer in hand should treat the medians as a reference band, not a floor.

AECOM's comp structure reflects its professional-services DNA: base salary does the heavy lifting, with bonus and equity playing a smaller role than you'd see at a product company or a hyperscaler. The firm does not operate on RSU grant cycles the way a public tech company would, and the equity component for data engineering roles, where it exists at all, tends to be modest or absent depending on seniority and business unit. What that means practically is that the headline total comp figure is close to what clears your bank account each year, with less variance between grant years and vesting cliffs. Bonus eligibility typically ties to project performance and firm revenue cycles rather than individual shipping milestones, which makes it less predictable than a percentage-of-base target would imply. The $95K at L4 is therefore a fairly literal read on expected annual cash, not a figure that balloons with a good vesting year.

AECOM's pay landing below relative to other Technology companies is not an accident of budget constraints; it reflects a deliberate talent strategy built around job stability and project longevity rather than compensation competitiveness. Infrastructure and government services firms compete for engineers on contract security and scope continuity, not cash. The likeliest read is that AECOM prices data engineering against the professional-services peer group, including consulting firms and government contractors, rather than against AWS, Databricks, or the tech companies a candidate might also be considering. That peer group runs cheaper. The compressed ladder compounds this: with only 2 levels, there's no L5 or staff band pulling the top of the range upward the way a six-level tech ladder would. Engineers with cloud-native or ML platform backgrounds will find the biggest gap here, because AECOM is not competing for that profile at market rate.

The most consequential decision you can make before accepting an offer here is which level you're slotted into, because the ladder is short and movement through it is slow. The gap between $90K at L3 and $95K at L4 is narrow, which means arriving at mid rather than entry captures most of what the band structure offers. Push for L4 classification if your experience supports it; the difference is real and there's no higher rung to grow into later. Base salary is the component most likely to flex, since equity is thin and bonus is tied to firm-level contract performance rather than individual negotiation. A competing offer from another infrastructure services firm will move the conversation more than one from a tech company, because AECOM's recruiters are benchmarking against their actual talent pool. The single highest-value action: before you respond to an offer, confirm your level classification in writing and ask what the criteria are for moving from L3 to L4, since that transition may be your only internal comp increase.