← All articles

Best Data Engineer Interview Prep Resources (2026)

Data engineer interview prep platforms for SQL, Python, modeling and pipeline design, with a comparison table, prices checked Oct 16, 2026 and who each one fits.

Short answer

Which one should you use?

Data engineer interviews usually mix SQL, Python, data modeling and pipeline design for a specific company. The tools below cover different parts of that loop:

01Company- and role-specific guides: Dataford (I run it) for loops like Data Engineer at Meta, Data Engineer at Google or Data Engineer at Amazon.
02DE-specific practice bank: DataDriven for SQL, Python, schema design and pipeline architecture.
03SQL volume: StrataScratch.
04Affordable SQL drills: DataLemur.
05Full data-loop curriculum: Interview Query.
06System design frameworks and mocks: Aced (formerly Exponent).
07Free coding fundamentals: LeetCode (Easy/Medium only for most DE loops).
08Structured free handbook: DataDriven's open data-engineering interview handbook on GitHub.

I run Dataford, so keep that in mind. I link to each platform's own pages so you can check prices and features yourself.

Comparison

Comparison table

PlatformBest forSQL / PythonModeling & pipelinesCompany-specificPrice (checked Oct 16, 2026)
DatafordCompany- and role-specific DE prep, plus 1:1 coaching with people at the companyYesGuides cover modeling/pipelines when the company asks themGuides by company and role (e.g. Data Engineer at Meta)$29/month or $89/year, with the same features on both plans
DataDrivenDE-only practice (SQL, Python, modeling, pipelines)Yes (executable)Data modeling and pipeline architecture practiceCompany filters advertisedSee datadriven.io for current plans
StrataScratchHigh-volume SQL/Python bankYesLight for DE design roundsCompany-filtered questions$24/month, $139/year or $289 lifetime
DataLemurCheap daily SQL drillsYes (SQL focus)LimitedCompany-style SQL$15/month, $60/year, or $300 lifetime + coaching + book
Interview QueryBreadth across data roles including DEYesDE prep path and company guidesCompany guidesMonthly, yearly and $299 lifetime plans; check the pricing page for the current monthly rate
Aced (formerly Exponent)System design frameworks + mocksSomeStronger on design coachingCompany-specific guidesFree Basic; Pro $79/month or $12/month billed yearly; Expert (adds AI mock interviews) $99/month or $20/month billed yearly
LeetCodeCoding screen fundamentalsSQL 50 + Python DSANo DE designLimitedSQL 50 free; Premium $35/month or $159/year
DataDriven handbook (GitHub)Free structured DE study planLinks to practice setsChapters on modeling and pipelinesCompany-guides chapterFree
Green marks Dataford's row where it covers the column; red marks a gap on other sites. Prices and features checked on each site in October 2026.

The table puts 8 options side by side on best for, sql / python, modeling & pipelines and company-specific, with price in the last column. StrataScratch, LeetCode each have at least one red cell, a column they don't cover. Dataford is the row built around one company and role, with loop guides, real questions, AI mocks and 1:1 coaching, at $29 a month or $89 a year. Read across your weakest round first, then check price.

01

Dataford

Dataford is interview prep for a specific company and role across 80+ roles and 15,000+ companies, like Data Engineer at Meta, Data Engineer at Google or Data Engineer at Amazon. You get a guide to that loop, reported questions from past candidates, AI mock interviews, and SQL and Python practice where the loop needs it.

01Good for: A booked DE loop at a named company; comparing how Meta vs Google vs Amazon (and others) structure the same Data Engineer role.
02Weaker on: Pure DE design volume (schema canvases, long pipeline case banks) is thinner than a DE-only gym like DataDriven. Some company-role guides are built from small report samples, so treat their stats as directional.
03Price: Quick Prep at $29/month or $89/year, with the same features on both plans.
041:1 coaching: 40+ coaches who currently work at companies like Meta, Google, Amazon, Databricks, Snowflake, Stripe and Netflix, each with a verified-employer badge, across data, engineering (including forward deployed and AI/ML), product and consulting roles. Sessions are 60-minute mock interviews or strategy calls, priced from about $109 to $339 per session (most are $139 to $209), with written feedback afterward. Sessions are anonymous (the coach sees your first name only, and nothing is recorded), and you can cancel free up to 24 hours before. Coaching launched on October 17, 2026 with 40+ coaches, and we expect to pass 500 in the next couple of months as we add a more human side to prep on Dataford. Every session runs inside Dataford itself, with no separate Zoom or Google Meet link, so booking, the mock and the feedback all sit in one place.
05Scale: 80+ roles, 15,000+ companies, 51,000+ real interview questions and 86,000+ interview guides.
06Disclosure: I founded Dataford.
02

DataDriven

DataDriven is built for data engineer interviews: SQL and Python with live execution, data modeling, pipeline architecture, company filters and mock interviews.

01Good for: Mid-level and senior DE loops where half the rounds are design, not only coding.
02Weaker on: Product-sense or analytics-case depth if your title is closer to analytics engineer / analytics.
03Price: see datadriven.io for current plans.
03

StrataScratch

StrataScratch is a large bank of company-labeled SQL and Python questions plus non-coding prompts. Useful as SQL volume next to a DE design tool.

01Good for: Coding volume and company-tagged SQL/Python reps.
02Weaker on: Pipeline architecture and dimensional modeling practice.
03Price: $24/month, $139/year or $289 lifetime.
04

DataLemur

DataLemur is Nick Singh's interactive SQL (and some stats/ML) practice site.

01Good for: Daily SQL warm-ups on a low annual price.
02Weaker on: DE design rounds and Spark/pipeline topics.
03Price: $15/month, $60/year, or $300 lifetime + coaching + book.
05

Interview Query

Interview Query covers data science, analytics and data engineering with company guides, question banks and mocks.

01Good for: Candidates who want one curriculum that spans SQL, coding and company research.
02Weaker on: Pricier than SQL-only tools.
03Price: Monthly, yearly and $299 lifetime plans; check the pricing page for the current monthly rate.
06

Aced (formerly Exponent)

Aced (formerly Exponent) is strong for system design frameworks and mock interviews, with company-specific guides on Pro.

01Good for: Talking through pipeline and warehouse designs out loud; booking a human mock near the onsite.
02Weaker on: Day-to-day SQL/Python drill volume.
03Price: Free Basic; Pro $79/month or $12/month billed yearly; Expert (adds AI mock interviews) $99/month or $20/month billed yearly. Coaching is extra.
07

LeetCode

LeetCode's SQL 50 and Easy/Medium Python problems cover the coding screen many DE loops still run.

01Good for: Fundamentals before you pay for a DE bank.
02Weaker on: Analytics-style SQL and pipeline design.
03Price: SQL 50 free; Premium $35/month or $159/year.
08

DataDriven interview handbook (GitHub)

The open data-engineering-interview-handbook walks SQL, Python, modeling, pipeline architecture and behavioral rounds with 4 / 8 / 12 week plans. Free companion to the DataDriven product.

Verdict

How I'd choose

Interview in under two weeks at a named companyDataford for that company and role's guide and reported questions; add DataLemur or StrataScratch if SQL volume is the gap.
Senior DE loop with modeling and pipeline roundsDataDriven first; add Aced for design talk-throughs.
SQL is the only weak spotDataLemur (budget) or StrataScratch (volume).
Budget near zeroLeetCode SQL 50 + the free handbook + free access on DataLemur and StrataScratch.
Full data curriculum over a month+Interview Query, then specialize with Dataford once a company is booked.

You usually don't need two paid subscriptions at once. Diagnose the gap, pick one paid tool, and keep one free drill site.

Know what each round tests before you walk in.Pick your company and role and see the questions real candidates were asked.
Browse interview guides
FAQ

Frequently asked questions

What is the best data engineer interview prep platform for a specific company?

Dataford, when you already have a loop for a role like Data Engineer at Meta or Data Engineer at Amazon. Pair it with DataDriven or StrataScratch if you need more coding or design volume.

Is DataDriven better than StrataScratch for data engineers?

For DE-specific modeling and pipeline design, DataDriven is the better fit based on how both describe their products. StrataScratch is stronger for SQL/Python question volume.

Do I need LeetCode for data engineer interviews?

Often for the coding screen, Easy and Medium only. Skip Hard algorithm sets unless your target company clearly asks for them. SQL and pipeline design usually matter more.

How much does Dataford cost?

Plans are $29/month or $89/year, with the same features on both plans.

What should career switchers into data engineering study first?

SQL and Python fundamentals, then dimensional modeling and one pipeline tool (Airflow, Spark or dbt depending on the job). Use the free handbook for a 12-week ramp, then company-specific guides once interviews start.

Does Dataford offer 1:1 coaching?

Yes. Dataford has 40+ coaches who currently work at companies like Meta, Google, Amazon, Databricks and Stripe. Sessions are 60-minute mock interviews or strategy calls, from about $109 to $339 per session (most are $139 to $209), with written feedback afterward. Sessions are anonymous and nothing is recorded, and you can cancel free up to 24 hours before. Coaching launched on October 17, 2026 with 40+ coaches, and we expect to pass 500 in the next couple of months as we add a more human side to prep on Dataford. Every session runs inside Dataford itself, with no separate Zoom or Google Meet link, so booking, the mock and the feedback all sit in one place.

Prices and features checked Oct 16, 2026. I run Dataford. If something here is out of date, email me and I'll fix it.

Amney Mounir
Amney Mounir
Founder of Dataford and Sr. Product Growth at Meta. Ranked the #10 largest content creator in the US for data science, with over 80,000 followers on LinkedIn.
Keep reading
GuidesBest Big Interview Alternatives for Technical and Data Roles (2026)Amney Mounir · 7 minGuidesBest Blind Alternatives for Interview Experiences and Offers (2026)Amney Mounir · 7 min
Best Data Engineer Interview Prep Resources (2026) | Dataford