Insights/Skills Demand

Skills Demand Report 2026

The most frequently requested skills across 27,238 active job postings. 13,745 postings (50.5%) include parseable skills data.

Skills are extracted via deterministic text matching from job titles, departments, and descriptions. AI enrichment covers a small subset. 50.5% coverage means 50% of postings have no parseable skills — figures reflect demand among postings that do.

Top 30 skills

1python

4,84117.8%

2aws

3,34512.3%

3machine learning

3,10811.4%

4sql

2,6619.8%

5large language models

2,5089.2%

6google cloud

2,2078.1%

7ci/cd

2,2078.1%

8azure

2,1668%

9ai

2,1457.9%

10kubernetes

1,9447.1%

11typescript

1,6976.2%

12java

1,5515.7%

13javascript

1,2584.6%

14c++

1,1704.3%

15react

1,1374.2%

16docker

1,0183.7%

17terraform

1,0123.7%

18node.js

9013.3%

19apache spark

8763.2%

20postgres

8143%

21jira

8012.9%

22microservices

6852.5%

23git

6522.4%

24mongodb

6302.3%

25kafka

6252.3%

26github

6182.3%

27snowflake

5802.1%

28rust

4621.7%

29pytorch

4461.6%

30scala

4391.6%

Top skills by function

Customer Success

210 roles with skills

python27.1%

large language models26.2%

aws23.8%

ai21.4%

sql21.4%

jira20%

machine learning20%

azure19.5%

Data & Analytics

753 roles with skills

python80.6%

sql63.6%

machine learning54.4%

large language models26.7%

aws24.6%

snowflake21.1%

airflow21%

pytorch19.7%

Design

164 roles with skills

figma68.9%

ai11.6%

react11.6%

sketch11.6%

large language models9.1%

machine learning7.3%

javascript6.7%

express.js3.7%

DevOps

350 roles with skills

kubernetes75.7%

aws69.4%

python68.3%

ci/cd66.6%

terraform64.9%

google cloud45.4%

azure37.4%

docker37.1%

Finance

72 roles with skills

sql54.2%

python25%

machine learning19.4%

ai19.4%

snowflake8.3%

aws8.3%

azure5.6%

google cloud5.6%

Legal

68 roles with skills

ai47.1%

machine learning30.9%

large language models8.8%

express.js8.8%

apache spark7.4%

confluence2.9%

swift2.9%

jira2.9%

Marketing

94 roles with skills

ai31.9%

machine learning27.7%

large language models22.3%

sql12.8%

apache spark9.6%

aws9.6%

google cloud7.4%

azure7.4%

Operations

338 roles with skills

jira31.7%

ai21.6%

sql21.3%

large language models17.5%

machine learning15.7%

aws11.5%

azure10.4%

confluence10.1%

Human Resources

63 roles with skills

machine learning30.2%

ai22.2%

large language models19%

github12.7%

express.js11.1%

apache spark4.8%

jira4.8%

typescript3.2%

Product Management

461 roles with skills

machine learning36.7%

large language models31.5%

sql29.9%

ai10%

aws9.5%

jira9.3%

azure8.7%

google cloud6.9%

Methodology

Skills are extracted using deterministic pattern matching against a curated taxonomy of ~200 technology and functional skills. The matcher scans job titles, department names, and description text.

A small subset of postings (13,745 of 27,238, 50.5%) are also AI-enriched for higher precision skill extraction. Both sources are merged and deduplicated.

Percentage represents the share of skills-including postings in that role family that mention the skill. Role families with fewer than 20 skills-including postings are excluded.

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