Data Engineering at Intuit
Roles, Comp & Culture
An L6 staff data engineer at Intuit sits around $318K total comp from 86 verified salary datapoints. The primary Data Engineering tech consists of Hadoop, Spark and AWS, according to current job listings. Intuit pays data engineers above other Technology companies. Reviews put them at 4.3 on Glassdoor, among the highest of any company here. Intuit employees are stressed and employee happiness is trending down over the past year. Layoff risk scores low for the next 30 days. 4 data engineering roles are open right now.
Intuit
Technology · Mountain View, US · NASDAQ:INTU
live data · July 31, 2026
DE total comp
$284K median
L5 · senior level · $232K–$325K · 31 verified datapoints
Hiring now
4 open DE roles
live from career pages
Team happiness
Stressed
employee happiness
Layoff risk (30d)
Low
Employee sentiment
4.3 / 5
MixedEmployees
5,001–50,000
Intuit data engineer compensation
Each level's figure is the median of individual Intuit 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.
Intuit 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 Intuit events
Layoffs, leadership changes, and other major moves at the company, with dates.
- LayoffJul 2026~90 roles cut
- LayoffJun 2026Layoff
- LayoffJun 2026Layoff
- Exec departureApr 2026Leadership change
- Exec departureJan 2026Leadership change
- Exec departureNov 2025Leadership change
- Exec departureJun 2025Leadership change
Notable company events we track, with dates.
Intuit data engineering tech stack
The languages, storage, and processing tools Intuit data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
BeamIntuit data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Lead the design, analysis, and interpretation of experiments Proactively perform data exploration on engagement behaviors to discover future opportunities
Build GenAI based solutions to solve for customers/Experts benefit or internal productivity gains.
Design, build, and maintain high-throughput, low-latency data frameworks used across Credit Karma's engineering organization, including ETL templates, persistence libraries, and streaming data pipelines
Practice for the Intuit 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 Intuit loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Intuit data engineer roles by level
Level-specific pages: the comp, the bar, and what the loop tests at each seniority.
Comp, level expectations, and role-specific prep.
Comp, level expectations, and role-specific prep.
Comp, level expectations, and role-specific prep.
Comp, level expectations, and role-specific prep.
Comp, level expectations, and role-specific prep.
Compare Intuit with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Intuit 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