Data Engineering at Palo Alto Networks
Roles, Comp & Culture
An L5 senior data engineer at Palo Alto Networks sits around $396K total comp from 38 verified salary datapoints. The primary Data Engineering tech consists of BigQuery, GCP and Fabric, according to current job listings. Palo Alto Networks 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 Palo Alto Networks reads neutral and employee happiness has held flat over the past year. Layoff risk scores low for the next 30 days. 4 data engineering roles are open right now.
Palo Alto Networks data engineer compensation
Each level's figure is the median of individual Palo Alto Networks 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.
Palo Alto Networks 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 Palo Alto Networks events
Layoffs, leadership changes, and other major moves at the company, with dates.
- Exec departureDec 2025Leadership change
- Exec departureNov 2025Leadership change
- Exec departureAug 2025Leadership change
- Exec departureFeb 2025Leadership change
- Exec departureDec 2024Leadership change
Notable company events we track, with dates.
Palo Alto Networks data engineering tech stack
The languages, storage, and processing tools Palo Alto Networks data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQL
Iceberg
FabricPalo Alto Networks data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Orchestrate and automate complex data workflows by combining industry-standard tools like Airflow and DBT with advanced Gen-AI development workflows.
Own the end-to-end software development life cycle, from conceptualizing complex distributed systems to deploying high-performance code, building AI-augmented systems that are fast, maintainable, and resilient.
Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users.
Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse or data lake environment.
Practice for the Palo Alto Networks 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 Palo Alto Networks loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Palo Alto Networks with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Palo Alto Networks 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