01
Build
on the canvas
Drag real services onto the canvas, wire the DAG, and configure every node — write mode, triggers, delivery guarantees.
data engineering interview prep · junior → senior → staff
Ace your next Data Engineering Interview.
You're a senior engineer, interviewing in 6 weeks. Tell us your interview date. We'll handle your preparation.
start wherever you are
- from scratch
- on the job
- senior interviews
Your dashboard
Give us a date.
Get a plan.
Sized to the days you have. One next step, always.
Build my planFree to start.
Your goalSenior Data Engineer: 3 weeksInterview Fri 23 Oct12h a week
15%October3 weeks away
Continue your planFacts and dimensions, in one designContinue →✓ Model design: the questions they ask. Readiness 15%
What’s in your plan98 things, sized to 3 weeks
- 10SQLexercises
- 8Data Modeling1 done
- 7Pipelinesexercises
- 5Sparkexercises
- 4Pythonexercises
- 42Knowledge Corner1 done
- 22Question banks1 done
What your tests foundweakest first
Slowly changing dimensions38%
Fact table design52%
Grain & fan-out81%
- 01
- decision loop
- 03
- flagship studios
- 05
- foundation modules
- 500+
- practice scenarios
- 1500+
- interview questions
Flagship Studios
Build systems.
Defend decisions.
studio 01
Data Pipeline
Draw the DAG, configure every node, route the failures.
Try the pipeline studio — free, no account ▶ How it works — a 5-minute guided tourData engineering jobs · 220 companies · fresh every 6 hours
Pick a role.
Get the plan.
Live roles from the careers pages of 220 companies worldwide, each read for the skills it asks and turned into a practice plan you can start today. Then you apply on their site, not ours.
NVIDIASenior8+ yrstoday
Senior Physical AI Data Engineer
China, ShanghaiPythonData qualityMachine learningData modellingAndurilStaff6+ yrstodayData Platform Lead, Product Lifecycle Operations
Costa Mesa, California, United StatesPythonSQLDashboards & BIData qualityKlaviyoStaff8+ yrstodayLead Strategic Finance & Analytics Engineer
Boston, MAData modellingPythonSQLdbtKnowledgebase Library
Know what
you're building.
the loop
Build.
Review.
Defend.
Every scenario runs the same three beats — the loop a senior engineer runs in a design review, and the one an interviewer walks you through.
02
Review
code decides
A deterministic engine scores structure, requirements and reliability, lists what's working, and ranks what to fix first. Then the AI narrates it — grounded in your graph.
03
Defend
in your words
Then the follow-ups, one probe at a time, on the model you actually drew — the same questions that decide a senior interview.
Live Interviews · 14 modules · real workspaces on both sides
Ask the questions.
Or answer them.
One code. A real, timed interview. Graded on what actually ran.
Conduct one
interviewer studioYour questions or the library's. One code to share.
Open the interviewer studioJoin one
the candidate roomPaste the code, press Start. Real workspaces, one attempt.
Join with a codeRead the signal
graded on what actually ranA hire signal, bands per module, a written debrief. Your verdict overrides.
Open Live InterviewsReviews · engineers on the job, and two who just got one
What it did
for them.
Working data engineers, a data automation engineer, and two freshers who landed their first data role.
The Spark playground shows the DAG for the code I just wrote. Five years in, and the shuffle finally clicked.
Modelling reviews that argue back. Grain, keys, fan-out.
Pipelines that fail like production does. Idempotency and backfills stopped being interview words.
Zero to Data Engineer was my whole roadmap. Read a little, build a little, and it added up to a job.
Got the job. SQL drills did it.
start
Your first system is one click away.
Pick a scenario, draw it, and find out what a reviewer would say.