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DoorDash SQL Interview Questions

Candidates describe a 60-minute technical screen split into a SQL half and a marketplace case — several short SQL questions against the clock, on order and delivery tables. Practise that shape here, on data that looks like it.

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18 practice challenges · 4 Easy / 7 Medium / 7 Hard · 12 play free · runs in the browser

How the interview runs

The DoorDash SQL interview, as candidates report it

DoorDash does not publish the format. Each row is what candidates and prep guides have described publicly, with its source; where sources disagree, the row says so. Formats change — treat every specific as reported, not official.

Roles where SQL is testedData Science, Analytics and Data Engineering.[4]
StagesRecruiter screen, a 60-minute technical screen, then a final round of about four interviews (cross-functional, hiring manager, data science).[1]
The technical screenReported as roughly 30 minutes of SQL and 30 minutes of a product or marketplace case. One candidate report describes four SQL questions of rising difficulty in the SQL half.[1][2]
EnvironmentCandidates report the SQL is written live and not executed, so correctness has to be reasoned, not tested by running it. The tool is not named in any source we could read.[2][1]
  1. [1] Exponent — DoorDash Data Scientist interview guide (candidate reports) (updated mid-2026)
  2. [2] Blind — DoorDash data science phone screen thread (27 Jul 2022)
  3. [3] StrataScratch — DoorDash SQL interview questions (updated 6 Mar 2026)
  4. [4] DataLemur — DoorDash SQL interview questions (8 May 2025)

Sources: Exponent — DoorDash Data Scientist interview guide (candidate reports) (updated mid-2026); Blind — DoorDash data science phone screen thread (27 Jul 2022); StrataScratch — DoorDash SQL interview questions (updated 6 Mar 2026); DataLemur — DoorDash SQL interview questions (8 May 2025). Accessed 13 Sep 2026.

The SQL that comes up

What DoorDash SQL questions test

Reported most often, in order

  • 1Window functions (ranking, LAG/LEAD, first value per group)
  • 2Date and time arithmetic (month buckets, intervals, lateness)
  • 3Aggregation with GROUP BY and HAVING
  • 4CTEs to stage a multi-step answer
  • 5Joins, and the rows a LEFT vs INNER join silently drops
  • 6Ratios and percentages (with casting)
  • 7Top-N and first event per customer or driver

Difficulty: Reported as medium, delivered fast: the pressure is the clock, not the trick. The data is orders (customer, restaurant, totals, timestamps), deliveries (predicted vs actual delivery time, status) and dashers (ratings, distance).

Our DoorDash practice set, by skill

The 18 SQL Quest challenges tagged DoorDash, resolved onto the nine Skillmap skills. A challenge exercises several skills, so shares do not sum to 100%. This is the composition of the practice set on this page, not a measurement of DoorDash’s interview.

Sample questions

DoorDash SQL question shapes, and where to practise them

Shapes candidates and guides report (paraphrased)

Practise now — SQL Quest challenges matched to those patterns

Our challenges, chosen because their SQL matches the shapes above; not questions DoorDash has asked. Each card opens the challenge in the browser — no signup.

Open all 18 DoorDash practice challenges →

Skillmap

How ready are you for the DoorDash SQL round?

Ten questions, no signup. You get a readiness score weighted to the SQL this page covers, your Skillmap across joins, window functions, aggregation and the rest, and the weakest skill to practise first.

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Frequently asked

Drill the skills the DoorDash set leans on, one at a time: GROUP BY exercises · Date function practice · Window function practice · CTE practice · JOIN practice — or browse every SQL practice question.

Every question in the DoorDash set, one page each with the schema and a hint: Monthly Order Count · January 2024 Orders · JOIN with a Filter · LEFT JOIN: Watch the NULLs Appear · Monthly Order Trends · Monthly Order Volume in 2024 · Month-over-Month Customer Growth · Day-of-Week Order Pattern (strftime) · Most Recent Order Per Customer (ROW_NUMBER) · The Previous Order's Total (LAG) · Running Total of Orders · 7-Day Rolling Revenue Average · First and Last Order per Customer · Top Spender Per Country · Detect Repeat Buyers Within 7 Days · Daily Active Customers · Month-over-Month Revenue Growth · Customer Retention Cohort.

Ready for the DoorDash SQL round?

No signup, no card. Start with the free challenges in the set; the Skillmap shows what to fix before the interview.

Start the DoorDash set — free