Data Engineering at CrowdStrike
Roles, Comp & Culture
An L5 senior data engineer at CrowdStrike sits around $328K total comp from 13 verified salary datapoints. The primary Data Engineering tech consists of Snowflake, Airflow and Spark, according to current job listings. CrowdStrike pays data engineers above other Technology companies. Reviews put them at 3.8 on Glassdoor, a little above the middle of the pack. Employee sentiment at CrowdStrike reads neutral and employee happiness has held flat over the past year. Layoff risk scores low for the next 30 days. 18 data engineering roles are open right now.
CrowdStrike data engineer compensation
Each level's figure is the median of individual CrowdStrike 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.
CrowdStrike 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 CrowdStrike events
Layoffs, leadership changes, and other major moves at the company, with dates.
- Exec departureApr 2026Leadership change
- Exec departureDec 2025Leadership change
- LayoffMay 2025Layoff
- Exec departureApr 2025Leadership change
- Exec departureFeb 2025Leadership change
Notable company events we track, with dates.
CrowdStrike data engineering tech stack
The languages, storage, and processing tools CrowdStrike data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
CrowdStrike data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Design, build, and manage reliable data ingestion and transformation pipelines using Airflow, dbt, Python, Matillion, and Snowflake.
Design and develop data protection-focused system extensions and associated services for deployment on macOS systems
Design and implement high-performance, distributed data processing pipelines handling petabytes of security data
Design, develop and maintain complex data transformations, ensuring high data quality and performance using scripting languages like Python, Airflow, DBT and databases such as Snowflake or similar Data Lakes.
Architect, implement, and optimize data platforms and pipelines specifically designed to support LLMs, Retrieval-Augmented Generation (RAG), and sophisticated AI agentic systems at Exabyte scale.
Design, develop, and maintain a data platform that processes petabytes of data.
Practice for the CrowdStrike 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 CrowdStrike loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare CrowdStrike with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at CrowdStrike 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