Hadoop salary and demand: pay percentiles and hiring trends

Reviewed by Mark Dickie · Last updated

Hadoop is an open-source framework for storing and batch-processing large datasets across clusters of ordinary servers, and this report tracks what the market pays for that work and how often employers still ask for it. Many teams have moved some of this workload to cloud object storage and Spark, so the pay band mostly describes roles that still run on-premises HDFS and YARN clusters. The demand series shows whether employers keep hiring for those clusters, which matters most to anyone deciding whether to learn the stack now. Read the median as the center of the Hadoop market as a whole, not as a promise for any single posting.

How do the Hadoop salary and demand figures read?

FigureWhat it measuresHow to read it for Hadoop
Lower quartile, median, upper quartilePay across postings that name Hadoop, HDFS, YARN, or MapReduceCheck whether the posting asks for cluster operations (HDFS, YARN, Ambari, Cloudera Manager) or pipeline work (Hive, Spark jobs). The two often pay differently.
Hiring-demand seriesOpenings that name Hadoop or a distribution such as Cloudera CDP in the title or requirementsRead the direction, not the level. A falling line can mean clusters are being retired, or that postings now say Spark or Iceberg instead of Hadoop.
Keyword filterWhich terms qualify a posting for the countA posting titled data platform engineer that never names Hadoop is excluded, so the demand figure is a floor, not a full count.
  1. Read the median first, then the lower and upper quartile rows to see how widely pay spreads around it.
  2. Scan a set of current Hadoop postings for HDFS, YARN, or Ambari. If those terms dominate, the pay band describes cluster operations work.
  3. Compare postings that also name Hive, Spark, or Iceberg against those that do not, to see which skill set the pay line tracks.
  4. Watch the hiring-demand series over several months, and note any drop in postings that still name Hadoop directly.

Hadoop salary & hiring demand

From live job postings for Hadoop, across 44 postings in August 2026. These figures are technology-wide across all seniority levels, as of August 2026.

Hiring demand over time

We need 3 complete months of tracking before we publish a month-by-month series. Months we only partly covered are left out rather than shown as low demand.

Vacancy and salary data includes Adzuna.

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