Data Engineering at CBRE GROUP, INC.
Roles, Comp & Culture
An L4 mid data engineer at CBRE GROUP, INC. sits around $146K total comp. CBRE GROUP, INC. pays data engineers slightly below other Technology companies. Reviews put them at 3.8 on Glassdoor, a little above the middle of the pack. Employee sentiment at CBRE GROUP, INC. reads neutral and employee happiness is trending down over the past year. Layoff risk scores moderate for the next 30 days.
CBRE GROUP, INC. data engineer compensation
Each level's figure is the median of individual CBRE GROUP, INC. 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.
CBRE GROUP, INC. 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.
CBRE carries a Glassdoor rating of 3.8, a little above the middle of the pack, but mixed sentiment on Blind and a neutral internal mood that is trending down tell a more complicated story. The trade here is a recognizable one at large enterprises that built data functions later than their peers: you get stability, a well-known brand, and exposure to genuinely large-scale real estate data, while giving up some of the engineering velocity and internal tooling investment you'd find at a tech-native firm. Pay comes in slightly below relative to other Technology companies, which matters more at a company where the salary ladder has only 1 level in the data engineering data. The tension is that CBRE's ambitions in data products are real, but the org structure and culture around those products is still catching up.
Recent CBRE GROUP, INC. events
Layoffs, leadership changes, and other major moves at the company, with dates.
The near-term picture warrants attention. There have been 1 tracked layoff in the past 12 months, the most recent in May 2026, and 2 executive departures over the same window is a signal worth taking seriously for anyone evaluating team continuity and strategic direction. Leadership churn at that rate often precedes a recalibration of priorities, and for a data engineering team that may mean shifting mandates mid-build. The company is investing in its technology platform under the CBRE 2040 agenda, and data engineering sits inside that broader push, but hiring activity tells the most honest story: no open data engineering roles at the time of this writing. That is a contraction signal, not a growth one, and someone joining now should go in expecting to build in an environment where headcount is constrained rather than expanding.
- LayoffMay 2026~174 roles cut
- Exec departureMar 2026Leadership change
- Exec departureFeb 2026Leadership change
- Exec departureAug 2025Leadership change
- Exec departureMay 2025Leadership change
- Exec departureMar 2025Leadership change
- Exec departureJan 2025Leadership change
- Exec departureDec 2024Leadership change
Notable company events we track, with dates.
CBRE is the world's largest commercial real estate services firm, and that scale creates a data engineering problem that is hard to replicate: property transaction data across dozens of countries, occupancy and lease analytics for corporate clients managing millions of square feet, and valuation models that feed into deals worth hundreds of millions of dollars. The data surface is wide and fragmented, pulling from brokerage systems, property management platforms, IoT sensors in managed buildings, and third-party market feeds. A data engineer here is likely stitching together pipelines that serve both internal analysts and client-facing products, working across domains where schema consistency is a daily negotiation rather than a given. Real estate data is messy by nature, so tolerance for ambiguity in upstream sources is part of the job description.
Practice for the CBRE GROUP, INC. loop
Round by round, the problems our model predicts for this company's interview. Rehearse the shapes their panels keep returning to.
The salary data here covers 4 reports, all at the mid band, which means CBRE is either not hiring seniors into this function or those engineers aren't submitting offers. If you're earlier in your career and drawn to the real estate domain, that's a reasonable fit; if you're a staff or principal engineer looking for scope growth and a defined ladder, the data does not support this being the right move right now. Engineers who thrive here will be comfortable working across business units with inconsistent data infrastructure and finding value in that complexity rather than being frustrated by it. Given no open data engineering roles currently listed, there's no urgency to apply today; watch the listings, and if roles open, prep for a loop that will likely center on data modeling and integration patterns over pure infrastructure.
Preparing for the CBRE GROUP, INC. loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare CBRE GROUP, INC. with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at CBRE GROUP, INC. 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