Most Data Engineering candidates Fail Technical Interviews. Experience Isn't Enough.
Coding, system design, and behavioral rounds require a completely different preparation than your day to day work. We give experienced engineers the exact system to pass every round.
It's a 12 week accelerator program with weekly live calls covering the DE coding, system design, projects, and advanced data engineering concepts & patterns needed to land DE roles at top tech companies in 2026
Some Program Results —
From Mid Fortune 500 Companies to FAANG & Quant DE Roles
$145K Base offer
Jerry came from Chevron as a DE I and went on to land a fully remote role as a Data Engineer II.
https://www.linkedin.com/in/jerry-che
$175K Base offer
Anthony was an Experienced SWE from @Meta and landed a SWE/Data Engineer role on the Data Team at Flexport with a $175K base offer!
https://www.linkedin.com/in/anthony-liu
$250K+ Total Comp offer
Shruthi came from a SWE background and landed a role at Netflix as an L5 DE!
$165K+ Total Comp offer
Mitch went from an associate analyst to a software engineer/ DE on a data team at Capital One!
To land that role, You must pass the Interview
Most candidates only get 3-5 good interview shots per cycle
If you are weak in DE style coding, system design, or data engineering fundamentals, even a strong resume filled with experience is not be enough to turn those chances into offers.
80% of candidates fail the first round, few pass the second
In 2026 with analysts and swes pivoting into the space roles go to candidates who can pass the technical rounds
Missed interviews cost months
There are only a handful of top companies, failing on those opportunities means waiting months before you are eligible to apply again known as "cooldown" periods.
Everything You Need to Walk Into Any DE Interview Fully Prepared
#1 Full Data Engineering Interview Coverage
From coding fundamentals to real world pipeline concepts, system design, Spark, batch, streaming, and large scale data processing.
12 Week Syllabus
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What you will Learn
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How Data Engineering Interviews Actually Work
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Week 0: SQL for Data Engineering Interviews: CTEs, window functions, correlated subqueries etc
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Week 0: Python for Data Engineering Interviews: Algos, Trees, Dicts, Lists, Sets,Parsing, Heaps etc
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Week1: ETL Design & Patterns for Data Engineers
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Week 2 - 3: Modern Data Warehousing for Analytics and Scale
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Week 3 - 4: Distributed Data Processing for Large-Scale Data Systems: Tuning Spark clusters, handling Petabytes etc
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Week 5: Scheduling and Orchestrating Pipelines: Logging, failures, governance etc
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Week 6-7 :Streaming and Real-Time Pipelines
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Week 8: Real System Design Interview Scenarios
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Week 9: AI for Modern Data Engineering
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Resume, Projects, and Job Search Strategy
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How to break into FAANG as a Data Engineer
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Week 10-12: Company code banks from previous interviews: Google, Meta, Netflix etc
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#2 Weekly Live Calls
Join live sessions for system design practice, interview breakdowns, Q&A, and direct feedback.
#3 Build 4 Production-Grade Projects That Become Your Interview Stories
Build strong portfolio projects across streaming, AI, CDC, and batch pipelines to strengthen your resume and interview stories.
#4 A Structured Roadmap That Saves You Months
On average DE interview prep is a minimum of 4 months. Coding prep alone will take 3-5 months between Python & SQL.Then there's Theory , building design etc and if you have any gaps they will show in 2026 interviews
#5 Direct Access to Ask Questions and Get Unstuck — Every Day for 12 Weeks
Know exactly what to study, what to build, and what to focus on instead of piecing everything together alone.
#6 Learn Alongside 1,400+ Engineers Who Are Doing Exactly What You're Doing Right Now
Learn alongside other ambitious engineers working toward stronger data and engineering roles.
I'm a Data Engineer with 7+ years of experience based in Austin, TX (UT Alumni, Hook'em!🐂). I've built large scale data systems for some of the biggest companies in the world — including three Fortune 100 companies — and currently an active senior data engineer in big tech.
More importantly, I became very good at cracking these interviews myself & breaking down what actually makes candidates pass tough data engineering interviews.
I found that strong engineers usually do not fail because they lack experience. They fail because interviews reward structured thinking, tradeoff analysis, and role specific depth in a way most people never practice properly.
That’s why I built this program: to help experienced engineers become stronger interview performers through live, focused coaching.
12-Week Data Engineering Interview Accelerator
$1500 / 12 weeks
Guarantee: Complete the program and if you don't land at least one data engineering interview within 90 days, email us for full refund.
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Prepare for first round DE interviews
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Prepare for system design interviews
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Build 4 production style projects
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Master core data engineering knowledge
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Learn scale, architecture, and pipeline tradeoffs
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Join weekly live coaching calls for 12 weeks
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Get feedback from active senior engineers in FAANG
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Access a private community of 1,400+ members
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Access materials for 12 months
More results
Eric K - Analytics Consultant @Flogistix
https://www.linkedin.com/in/eric-kim
CS Grad Student to landing an Analytics role!
Iman H - Technical Product Manager @Microsoft
$140K base offer as a Product Manager (Data) at Microsoft!
Fahim N - Petroleum Engineer/Analyst
https://www.linkedin.com/in/fahim-noor-islam/
Experienced field Engineer -> Engineering Analytics role
Sam H - Data Engineer @ a Fortune 500
From SWE to landing a $130k+ Data Engineering role!
