Implement rate limiting for a public API

Practice this Data Engineer question with AI conversation replay, strong-answer frameworks, and mock follow-ups on InterviewForge AI.

Is domain-specific tech mandatory for LinkedIn Data Engineer?

Strong fundamentals are required; stack depth signals vary by team. Panels often probe production scenarios even when the JD lists it as preferred.

How many rounds are there in LinkedIn Data Engineer interviews?

Most loops include 3–5 rounds: recruiter screen, technical depth, system or domain panel, and behavioral/hiring-manager. Timelines often run 3–6 weeks.

What SQL and data topics are asked at LinkedIn?

Data-heavy tracks report warehousing, ETL, optimization, and modeling questions. Match prep to your specialization and recent candidate reports.

How do I answer "Implement rate limiting for a public API…" in a LinkedIn panel?

Structure with constraints, approach, trade-offs, and metrics. Use the simulator's mock mode for LinkedIn-style follow-ups and readiness tracking.

Back to LinkedIn Data Engineer interview

Interview question

Walk through an Airflow DAG designed for idempotent daily ETL

Asked in LinkedIn Data Engineer interviews

Asked by

47% candidates

Difficulty

Medium

Round

Technical Round 1

AI synthesized from candidate reports

← All LinkedIn Data Engineer questions

Save your progress? Create a free account

Practice real interview

Walk through an Airflow DAG designed for idempotent daily ETL

Technical Round 1MediumAsked by 47% of candidates

Select a question to view the conversation.

Choose your preparation style

Use ← → to navigate · Press Space for hints

Real Interview Data

From 389+ verified reports

AI-Powered Insights

Summarized candidate patterns

Mock Interviews

Practice with AI interviewers

Track Progress

Monitor improvement across topics

Related practice

Candidates also saw

LinkedIn Data Engineer — People Also Ask

Common interview prep questions from recent candidates

What questions are asked in LinkedIn Data Engineer interviews?

Recent candidates report role-specific technical questions, system design prompts, and behavioral STAR questions tied to ownership and impact.

How difficult is the LinkedIn Data Engineer interview?

Competitive — panels test depth in role fundamentals, system thinking, and communication under follow-up pressure.

What interview rounds does LinkedIn use for Data Engineer?

Typical loops: Resume screening → Technical → Behavioral → Offer. Timelines often run 3–6 weeks.

Is Spring Boot asked in LinkedIn Data Engineer interviews?

When the role involves Java or backend services, Spring Boot and API design often appear in technical rounds.

Does LinkedIn ask system design in Data Engineer interviews?

Mid-senior Data Engineer loops frequently include system design or architecture discussions — especially for distributed systems and scale.