Data Engineering at Ibotta
Roles, Comp & Culture
An L4 mid data engineer at Ibotta sits around $95K total comp from 9 verified salary datapoints. The primary Data Engineering tech consists of Databricks and Python, according to current job listings. Ibotta pays data engineers below other Technology companies. Reviews put them at 2.4 on Glassdoor, toward the bottom of the pack. Ibotta employees are stressed 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.
Ibotta data engineer compensation
Each level's figure is the median of individual Ibotta 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.
Ibotta 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 Ibotta events
Layoffs, leadership changes, and other major moves at the company, with dates.
- Exec departureOct 2025Leadership change
- Exec departureAug 2025Leadership change
- Exec departureMar 2025Leadership change
- Exec departureMar 2025Leadership change
Notable company events we track, with dates.
Ibotta data engineering tech stack
The languages, storage, and processing tools Ibotta data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQLIbotta data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
AI Readiness Scoring: Own the end-to-end architecture and delivery of the automated scoring pipeline that evaluates data assets on their readiness for AI and analytical use; build and maintain the jobs that collect quality signals and surface scores to data teams
Data Engineering Fundamentals: Proficiency in Python and SQL, knowledge of Databricks, and familiarity with medallion architecture (bronze/silver/gold) or similar layered data design patterns.
Preparing for the Ibotta loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Ibotta with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Ibotta 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