// tech / data
Debug pipelines, fix data quality issues, and keep the warehouse healthy. Spend 30–60 minutes inside a realistic data engineering simulation — Slack threads, tickets, code review, and a hidden challenge that mirrors what actually happens on the job.
New accounts get 14 days of Pro free · unlimited simulations · no card required.
9:00 AM
Standup
Data team daily sync — pipeline statuses and data quality alerts
9:30 AM
Incident triage
Review Airflow DAG failures and dbt test failures from last night's run
11:00 AM
Pipeline debug
Query the warehouse to find the root cause of the broken revenue_daily model
2:00 PM
Code fix
Fix the broken dbt model transformation and add a test to catch it next time
4:30 PM
Docs + runbook
Update the pipeline runbook and document the fix for postmortem
4:55 PM
End of day
Trying to log off — Pranav (Director of Analytics) wants a one-time bypass on the partition_filter_required constraint for a 5-year orders_fact scan. The query would saturate the slot pool and impact every team's queries.
P0: revenue_daily dbt model failing — finance blocked since 02:14 UTC
Airflow DAG: customer_segment_refresh stuck in retry loop (attempt 3/3)
Add row count validation + not_null tests to orders_cleaned
Aisha Lee
Data Engineering Lead
Pablo M.
Analytics Engineer
Vera C.
Data Analyst
Pranav Singh
Director of Analytics
Scorecard
Technical, communication, and collaboration scores plus a letter grade — instantly after the workday ends.
Hiring manager feedback
A written debrief explaining what you did well and what would have raised concerns in a real interview loop.
Verified certificate
Shareable LinkedIn certificate that links back to your scorecard — proof you can perform, not just answer questions.
Behavioral signals
Did you communicate proactively, escalate when needed, prioritize correctly under pressure? All measured.
New accounts get 14 days of unlimited Pro access — no credit card required.
Start Data Engineering simulation