Data Engineering at Booz Allen Hamilton
Roles, Comp & Culture
An L5 senior data engineer at Booz Allen Hamilton sits around $153K total comp from 43 verified salary datapoints. The primary Data Engineering tech consists of AWS, Spark and Databricks, according to current job listings. Booz Allen Hamilton pays data engineers below other Technology companies. Reviews put them at 3.9 on Glassdoor, a little above the middle of the pack. Employee sentiment at Booz Allen Hamilton reads neutral and employee happiness is trending down over the past year. Layoff risk scores low for the next 30 days. 69 data engineering roles are open right now.
Booz Allen Hamilton data engineer compensation
Each level's figure is the median of individual Booz Allen Hamilton 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.
Booz Allen Hamilton 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.
Recent Booz Allen Hamilton events
Layoffs, leadership changes, and other major moves at the company, with dates.
- Exec departureApr 2026Leadership change
- Exec departureDec 2025Leadership change
- Exec departureMay 2025Leadership change
- Exec departureDec 2024Leadership change
Notable company events we track, with dates.
Booz Allen Hamilton data engineering tech stack
The languages, storage, and processing tools Booz Allen Hamilton data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQLBooz Allen Hamilton data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Ability to develop scripts and programs for converting various types of data into usable formats and support project teams to scale, monitor, and operate AI/ML platforms
Architect, deploy, and operate data security solutions across various DoW clients in the Indo-Pacific.
As a data architect on our national security team, you’ll use your extensive technical expertise to lead the design of data architecture solutions for large-scale data solutions such as ingest, analytics, enrichment, and security.
As a data engineer at Booz Allen, you’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry.
You’ll deploy and develop pipelines and platforms that organize and make disparate data available and meaningful.
You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful.
As a data architect on our national security team, you’ll use your extensive technical expertise to lead the design of data architecture solutions for big data analytics.
Ability to develop scripts and programs for converting various types of data into usable formats and support project team to scale, monitor and operate data platforms
Practice for the Booz Allen Hamilton loop
Round by round, the problems our model predicts for this company's interview. Rehearse the shapes their panels keep returning to.
Preparing for the Booz Allen Hamilton loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Booz Allen Hamilton with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Booz Allen Hamilton 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