DoorDash Coding & Algorithms interview questions typically emphasize practical problem solving under time pressure, clear code, and product-minded tradeoffs. What’s distinctive is a bias toward realistic engineering tasks—scheduling, graph traversal, and array/string manipulation appear often—combined with an expectation that you communicate tradeoffs, test edge cases, and iterate quickly. Interviewers assess algorithmic thinking, correctness, complexity reasoning, and the ability to refactor or extend solutions when given follow-ups. Expect an initial technical screen followed by a loop of 2–4 interviews that blend live coding with behavioral and sometimes system-design conversations. For interview preparation, prioritize consistent timed practice on medium-to-hard problems, rehearse speaking your thought process, and run mock interviews in your target language and editor. Refresh core data structures, common patterns (DFS/BFS, two pointers, heaps, hash maps, dynamic programming), and time/space analysis. Finish prep by practicing end-to-end: state assumptions, outline an approach, code defensively, and validate with tests so you can both solve and clearly explain your solutions during the loop.