OBenner/data-engineering-interview-questions resource
More than 2000+ Data engineer interview questions. observed · 2026-08-28
Health v2 · maintenance only
60/100
- Activity 62
- Release rhythm 35
- Longevity 100
Flags: no_releases no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1851
- days_rel: n/a
- days_push: 232
- n_releases_24m: 0
Adoption not part of the score
1714 stars · 561 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A curated collection of over 2000 interview questions for data engineering roles, organized by technology such as Spark, Kafka, SQL, Airflow, Hadoop, and cloud platforms. It serves as a study and practice resource rather than runnable software.
Use cases
- prepare for a data engineer interview
- practice data engineering interview questions
- study spark and kafka concepts before an interview
- review sql and data warehouse questions
- brush up on airflow and pipeline concepts
- find data engineering study material by topic
When to choose
- you are preparing for a data engineering job interview
- you want a large topic-organized question bank covering the big data ecosystem
- you want a free study checklist to practice end-to-end
When to avoid
- you need runnable code, tools, or libraries
- you want structured courses or hands-on exercises rather than question lists
- you need licensed or formally maintained educational material
Facets
learning-resource · maturity active
documentation developer-tools tutorials education big-data cross-platform interview-preparation data-engineering spark kafka sql airflow hadoop aws azure question-bank
1 source
- readme: https://github.com/OBenner/data-engineering-interview-questions · fetched 2026-08-28 · 81f869c84468
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| OBenner/data-engineering-interview-questions | main | 60 |
For agents
markdown · JSON · MCP: product_card(name="OBenner/data-engineering-interview-questions")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem