Ā Pass Data Engineering Interviews at Competitive Companies

Live 12-week interview mentorship for experienced data engineers (3+ years) preparing for mid-level, senior, or staff roles.

No fluff. No salesy bootcamp promises. Live calls, real interview practice, and guidance from FAANG engineers who’ve passed these interviews — because you don’t get unlimited attempts.Ā 

In 2026, most engineers only get 2–5 real shots at serious Data Engineering interviews.
Failing them doesn’t just hurt confidence — it triggers "company cooldowns" and shuts doors for months.

12 Week Live DE Expert Mentorship

$2500

If after the first live session you don’t believe this will materially improve your interview performance, email us for a refund.

9 weeks of live, interview focused calls

Small cohort (under 10 engineers). Work through real data engineering interview scenarios live — with emphasis on problem framing, tradeoffs, and decision-making under ambiguity.

Data engineering specific coding problems
Practice SQL, Python, and pipeline problems used to evaluate senior and staff candidates — focusing on correctness, edge cases, scalability, and clarity of reasoning.

Live technical feedback
Get corrected in real time on both what you solve and how you explain it — a key differentiator at staff level interviews.

System design for data engineers
Reason through high bar DE scenarios — hyper scale pipelines, AI automated pipelines, backfills, scaling, and failure modes — the way interviewers expect you to think, not over-design.

Interview aligned projects
Hands-on scenarios used to practice articulating ownership, tradeoffs, and impact across systems — built for interview discussion & experience gaps.

Recorded refreshers for core topics
Targeted refreshers for SQL, Python, and core DE concepts to remove execution gaps before live interview practice.

Senior & staff interview evaluation signals
Understand how interviewers assess scope, impact, judgment, and SME depth — and how to communicate these clearly and credibly in technical rounds.

Private community + async Q&A
Ask targeted questions between sessions and see how other experienced engineers approach the same ambiguous problems.

Full program access
Attend live sessions, rewatch recordings, and stay supported throughout the program.

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Join the Mentorship See the curriculum

I’m a Data Engineer with 7+ years of experience living in Austin Texas! (UT Austin AlumniĀ šŸ‚Ā šŸ¤˜),Ā having built large-scale data solutions for some of the biggest companies in the world — including three Fortune 100 companies — and currentlyĀ an active data engineer in tech.

After going through top tech interviews myself along with insights from my friendsĀ at Meta, Netflix, and other top tech companies, I saw the same patterns over and over: Most candidates think they’re prepared, but haven’t actually built the skills interviews test — structured thinking, tradeoff analysis, DE specific coding rounds and real system design depth. This mentorship exists to close that gap and create the fastest path to landing a Data Engineering role, especially at mid, senior and staff levels.

Some Ā Results We've Gotten —

FromĀ Mid Fortune 500 Companies to FAANG & Quant DE Roles

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āš”ļøĀ Live Calls

Talk to FAANG level engineers, ask questions & learn from those who have done it

🧠Technical Deep Dives

The interview bar in 2026 is higher than ever, companies want the best talent only.

 
 

Carter HĀ - Data AnalystĀ @Schlumberger

New Grad -> Engineer

Anthony L - Data Engineer @META

Experienced SWE -> Data Engineer (career change)

āš™ļøšŸ§‘ā€šŸ’»We Build the latest Data Engineering + AI ProjectsĀ companies hire for.

Weak work experience needs high impact, top level projects to get your resume looked at.

šŸ“ŠDaily Support, Live Coaching Calls & Accountability

Private Community 1,400+ US Data Engineers

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Crack the DE Interview
 

Nathan T -Quantitative Trading AnalystĀ 

Ā No CS Degree -> AnalystĀ 

Eric K -Ā Analytics Consultant @Flogistix

https://www.linkedin.com/in/eric-kim

CS GradĀ -> Ā Analytics role

Iman HĀ - Technical Product ManagerĀ @Microsoft

Scrum master -> Ā Product Manager (Data)

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Fahim N - Petroleum Engineer/Analyst

https://www.linkedin.com/in/fahim-noor-islam/

Experienced field Engineer -> Ā Engineering Analytics role

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Crack the DE Interview

Sam HĀ - Data Engineer @ a Fortune 500

CS Student-> Ā Data Engineer

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Crack the DE Interview