Datadog · Software Engineer Intern
Datadog's SWE intern loop typically starts with a HackerRank OA, then one or two technical interviews plus a behavioral conversation. The coding lean is practical over trick-question — clean data-structure problems and, often, a small hands-on task — reflecting a company built on high-scale observability. Interviewers probe genuine curiosity about systems, monitoring, and data, and they care whether you can reason about what happens at scale.
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What this interview tests
- Practical data-structure coding (hash maps, heaps, queues)
- Handling large / streaming input and memory limits
- Working with metrics, logs, and time-window aggregation
- Edge-case handling and complexity analysis
- Ownership and depth on a real past project
- Genuine curiosity about systems and observability
Common question themes
Aggregate or bucket events over a time window
Top-K / frequency problems using a heap
Parse and process a stream of log lines
Hash-map and queue-based data-structure problems
"Walk me through a project you built end to end"
"How would this scale if the input were 100x larger?"
Modeled on a public Datadog SWE intern posting