Data Engineering at AECOM
Roles, Comp & Culture
An L4 mid data engineer at AECOM sits around $95K total comp from 30 verified salary datapoints. The primary Data Engineering tech consists of Airflow, AWS and Azure, according to current job listings. AECOM pays data engineers below other Technology companies. Reviews put them at 3.7 on Glassdoor, a little below the middle of the pack. Employee sentiment at AECOM reads neutral and employee happiness has held flat over the past year. Layoff risk scores low for the next 30 days. 2 data engineering roles are open right now.
AECOM data engineer compensation
Each level's figure is the median of individual AECOM 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.
AECOM 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.
AECOM offers stability over velocity. The company's footprint across long-cycle infrastructure projects means data engineering work is grounded in multi-year contracts rather than sprint-to-sprint product iteration, which suits engineers who prefer durable scope over constant re-prioritization. The trade-off is real: pay sits below compared to other Technology companies, with $95K at L4 and a compressed 2-level ladder that caps progression quickly. Glassdoor sits at 3.7, a little below the middle of the pack, and Blind sentiment is mixed. Engineers who thrive here tend to be comfortable in a professional-services environment where the stakeholders are project managers and clients, not product owners. Those expecting data platform ambition or a modern ML-adjacent stack may find the environment frustrating.
AECOM data engineering tech stack
The languages, storage, and processing tools AECOM data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
AECOM is a global infrastructure and engineering firm whose data engineering problems trace directly to project-based work across construction, transportation, environmental remediation, and government contracts. The core challenge isn't volume in the consumer-tech sense; it's heterogeneity: hundreds of concurrent projects generating sensor readings, geospatial datasets, regulatory submissions, and cost-tracking feeds that rarely share schemas. A data engineer here spends real time on integration work, moving data between ERP systems, GIS platforms, and project management tools, and building pipelines that serve project delivery teams rather than product surfaces. The regulated nature of government and civil infrastructure contracts adds audit trail requirements that shape how data flows are designed from the start. If you want to build at scale on cloud-native stacks, the shape of the job is more about institutional data plumbing than platform engineering.
SQLAECOM data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Engineers who do best at AECOM are comfortable owning infrastructure that no one else will touch for years: data movement, reporting pipelines, and integration glue across legacy enterprise systems. The salary ladder has only 2 levels, so if progression speed matters to you, this is a genuine constraint worth weighing before you apply. Mid-level candidates make up the bulk of the 30 verified reports, so the company demonstrably hires and retains at mid, but there is limited signal above that. If you're a senior or staff engineer looking to grow into a principal scope, the structure here probably doesn't support that path. For someone earlier in their career who wants exposure to infrastructure-scale data problems in a regulated industry, the role can build transferable skills. If you decide to pursue it, prep for systems integration scenarios and spend time with the salary ladder before setting expectations.
Preparing for the AECOM loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare AECOM with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at AECOM 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