Skill demand compared
Kafka vs. Apache Spark
How often each appears in job posts, how demand is moving, who asks for it and what it pays - from job posts sourced directly from company career sites.
In short
- Which is more in demand: Kafka or Apache Spark?
- Kafka - it appears in 0.4% of job posts (23,860 in the last 90 days), vs. Apache Spark 0.3%.
- Is Kafka or Apache Spark growing faster?
- Neither is growing; Kafka is declining least, measured by the change in the share of job posts over the last three completed months vs. the three before: Kafka -6%; Apache Spark -7%.
- Which pays more: Kafka or Apache Spark?
- Apache Spark job posts advertise the highest median salary (USD per year, last 12 months, pooled across countries): Kafka $150,000; Apache Spark $154,700.
- Which is more often remote: Kafka or Apache Spark?
- Kafka - 41% of its job posts in the last 90 days offer remote or hybrid work.
Share of job posts per month
Side by side
| Skill | Share of posts | Posts (90 days) | Remote/hybrid | Median salary (pooled) | Top role |
|---|---|---|---|---|---|
| Kafka | 0.4% | 23,860 | 41% | $150,000 | Engineer |
| Apache Spark | 0.3% | 19,094 | 36% | $154,700 | Engineer |
Cite this data
jobdata API. (2026, November 14). Kafka vs. Apache Spark: demand in job posts [Data set]. Retrieved November 14, 2026, from https://jobdataapi.com/skill-demand/compare/kafka-vs-apache-spark/
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Data as of Nov 14, 2026. Free to reuse under CC BY 4.0 with a link to this page · Methodology
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