Data Engineering at Scale AI
Roles, Comp & Culture
An L4 mid data engineer at Scale AI sits around $379K total comp from 5 verified salary datapoints. The primary Data Engineering tech consists of Spark, Kubernetes and Elasticsearch, according to current job listings. Scale AI pays data engineers above other Technology companies. Reviews put them at 3.6 on Glassdoor, a little below the middle of the pack. Scale AI employees are stressed and employee happiness has held flat over the past year. Layoff risk scores low for the next 30 days. 13 data engineering roles are open right now.
Scale AI data engineer compensation
Each level's figure is the median of individual Scale AI 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.
Scale AI 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.
Scale AI data engineering tech stack
The languages, storage, and processing tools Scale AI data engineers actually work with, grouped by what they do. Tailor your system-design answers to this stack.
SQLScale AI data engineer job openings
A live read on what they are hiring: open roles, recent postings, where, and at what level.
Scale AI is seeking a highly skilled and motivated AI Data Engineer to join our dynamic Federal Engineering team.
8+ years of full-time engineering experience, post-graduation with specialties in back-end systems, specifically related to building large-scale data storage, streaming, and warehousing systems.
Build synthetic data pipelines to generate enterprise environments to use for RL post-training
Scale AI is seeking a highly skilled and motivated Software Engineer to join our dynamic Public Sector Engineering team.
In this role, you will lead the design and development of core data storage, streaming, caching, and indexing platforms and underlying systems.
Build systems capable of handling millions of frames of data every day, making it available to both our workforce and our internal teams with high availability.
Practice for the Scale AI 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 Scale AI loop
The round-by-round process, example questions, and prep plan are on the interview guide.
Compare Scale AI with other data engineering employers
How the role, pay, and loop stack up against peer companies.
Prepare at Scale AI 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