Interviews · 6-round timed mock

Sit a real interview
for the role you want.

Six timed rounds across SQL, data modeling, architecture, behavioral, DSA and resume review — graded the moment you submit, so you walk into the real thing knowing how you stack up.

Netflix Data Engineer Interview cover
Netflix Data Engineer InterviewDATA_ENGINEER
A themed six-round mock interview simulating a real Netflix Data Engineer loop. Covers SQL analytics on viewing behavior, data pipeline architecture for streaming events, dimensional modeling for the content catalog, behavioral questions around Netflix's Freedom & Responsibility culture, and a Python DSA problem built around recommendation data structures.
Senior
4h 20m
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Airbnb Analytics Engineer Interview cover
Airbnb Analytics Engineer InterviewANALYTICS_ENGINEER
A themed six-round mock interview simulating a real Airbnb Analytics Engineer loop. Covers marketplace SQL analytics (funnels, cohorts, occupancy), dimensional modeling for a two-sided marketplace, experimentation platform architecture, behavioral questions around Airbnb's "Belong Anywhere" culture, and a Python problem themed around search ranking data processing.
Senior
4h 20m
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OpenAI AI Engineer Interview cover
OpenAI AI Engineer InterviewAI_ENGINEER
A themed six-round mock interview simulating a real OpenAI AI Engineer loop. Covers SQL for ML monitoring and usage analytics, system design for LLM-powered infrastructure, evaluation framework architecture, behavioral questions around OpenAI's mission of safe AGI, and Python problems involving token optimization and embedding search.
Senior
4h 15m
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Data Modeling GauntletANALYTICS_ENGINEER
A five-round, escalating deep-dive on dimensional modeling. Start with basic star schemas, progress through Slowly Changing Dimensions and multi-valued relationships, design petabyte-scale facts, and finish with SQL queries against your model. Calibrated for analytics engineers and data architects. ~2h 40min total.
Senior
2h 40m
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Data System Design GauntletDATA_ENGINEER
A five-round deep-dive mock interview focused entirely on data architecture design at production scale. Each round escalates in complexity: from batch warehouse design, to real-time streaming, to experimentation platforms, to ML feature stores, and finally to a 500TB migration war story. Every question requires a detailed architecture diagram with numbered requirements, trade-offs, and technology choices justified. Designed for senior data engineers and architects.
Senior
2h 35m
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DSA GauntletDATA_ENGINEER
A deep-dive five-question DSA interview for Senior Data Engineers. Covers sliding-window stream processing, heap-based merging with memory budgets, graph dependency traversal with topological sorting, LRU cache with TTL expiration, and external-memory deduplication algorithms. All problems are themed around real data pipeline challenges.
Senior
3h 30m
Start interview →Untried