Data Engineering at EAB Group
Roles, Comp & Culture
An L4 mid data engineer at EAB Group sits around $100K total comp from 10 verified salary datapoints. The primary Data Engineering tech consists of AWS, Pandas and Python, according to current job listings. EAB Group pays data engineers below other Technology companies. Reviews put them at 3.6 on Glassdoor, a little below the middle of the pack. Employee sentiment at EAB Group reads neutral and employee happiness has held flat over the past year. Layoff risk scores low for the next 30 days. 1 data engineering role is open right now.
EAB Group data engineer compensation
Each level's figure is the median of individual EAB Group 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.
EAB Group 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.
The neutral rating and roughly flat trend together tell a story that the Glassdoor score of 3.6, a little below the middle of the pack, confirms: this is not a place where engineers are thriving right now, and conditions have been sliding. Blind sentiment is mixed. The employer bargain here seems to be mission-adjacent work, a stable client base in higher ed, and a relatively low-pressure operational tempo in exchange for compensation that runs below other Technology companies and a limited technical ceiling. With only 2 published ladder levels and a senior ceiling not visible in the salary pool, engineers who want a clear promotion path or competitive market pay will feel that absence quickly. The tension is real: the mission is genuinely meaningful, but the structural conditions for career growth are thin.
Hiring activity is quiet. There is 1 open data engineering role visible right now, and Richmond is the center of gravity for DE work. That kind of volume, combined with a compressed salary ladder that tops out at L4, reads as a team in maintenance mode rather than expansion. There are no tracked layoffs raising alarm, and the low 30-day layoff risk reflects a stable client-contracted revenue model typical of education services firms. But low layoff risk at low headcount growth is not the same as opportunity. Engineers joining in the next 12 months should expect a steady workload on existing systems, with limited greenfield build if the current hiring pace holds.
EAB Group data engineering tech stack
The languages, storage, and processing tools EAB Group data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
EAB Group works in the education advisory space, serving colleges, universities, and K-12 institutions with research, technology, and consulting. The data engineering problem here is less about raw scale and more about integrating messy, institution-specific data across hundreds of school clients: enrollment signals, retention metrics, financial aid flows, and student outcomes data that rarely arrives in clean shape. The visible stack, Python and SQL on AWS with Pandas doing a lot of the heavy lifting, suggests a team that builds structured ETL work and reporting pipelines rather than a streaming or real-time infrastructure play. If you want to own data models that feed advisors and administrators making decisions about real students, that is the actual shape of the job. Orchestration tooling is minimal in the public signal, which means you will likely be building and maintaining pipelines without much abstraction above you.
SQLEAB Group data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
This role fits an early-career data engineer, specifically at the entry or mid level, which is where all the salary data clusters: 7 reports at $88K and 12 at $100K. If you are 2 to 4 years into your career, comfortable in Python and SQL, and want client-facing data work where pipelines directly serve institutional decisions, the fit is plausible. Engineers who want to work on streaming infrastructure, build out a modern lakehouse, or move quickly toward a staff-level track should pass: the stack and the ladder both point away from that. The screen covers SQL and the loop gets into pipeline architecture, so prep your pipeline design instincts and make sure your SQL is sharp before you engage.
Preparing for the EAB Group loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare EAB Group with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at EAB Group 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