Skill demand compared
Snowflake vs. BigQuery vs. Redshift
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: Snowflake, BigQuery or Redshift?
- Snowflake - it appears in 0.4% of job posts (24,595 in the last 90 days), vs. BigQuery 0.2%; Redshift 0.1%.
- Is Snowflake, BigQuery or Redshift growing faster?
- Snowflake is growing faster, measured by the change in the share of job posts over the last three completed months vs. the three before: Snowflake +7%; BigQuery +4%; Redshift -18%.
- Which pays more: Snowflake, BigQuery or Redshift?
- Snowflake job posts advertise the highest median salary (USD per year, last 12 months, pooled across countries): Snowflake $144,500; BigQuery $143,000; Redshift $137,900.
- Which is more often remote: Snowflake, BigQuery or Redshift?
- BigQuery - 47% of its job posts in the last 90 days offer remote or hybrid work.
Share of job posts per month
Side by side
Cite this data
jobdata API. (2026, November 14). Snowflake vs. BigQuery vs. Redshift: demand in job posts [Data set]. Retrieved November 14, 2026, from https://jobdataapi.com/skill-demand/compare/snowflake-vs-bigquery-vs-redshift/
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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
More comparisons
Share of all job posts from active companies whose title or description mentions the skill as a phrase; completed calendar months. Methodology · Markdown version
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