data cleaning jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-15, data cleaning appears in 840 job postings indexed by Skillenai over the past 90 days — most often required for Data Scientist roles, with demand down 20% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-15
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Frequently asked questions about data cleaning
+Is data cleaning in demand in 2026?
Yes. data cleaning appears in 840 job postings indexed by Skillenai over the 90 days ending 2026-09-15, with demand down 20% vs the prior 4 weeks. It is most often required for Data Scientist roles (23% of Data Scientist postings list it).
+What jobs require data cleaning?
According to the Skillenai jobs index over the 90 days ending 2026-09-15, the job titles most likely to require data cleaning are Data Scientist (23% of postings list data cleaning), Data Analyst (18% of postings list data cleaning), Data Engineer (3% of postings list data cleaning).
+What skills are commonly paired with data cleaning?
Across job postings indexed by Skillenai (90 days ending 2026-09-15), data cleaning most often appears alongside Python, SQL, data visualization, machine learning, Data analysis.
+Where is data cleaning most in demand?
As of 2026-09-15, the metro areas posting the most jobs requiring data cleaning are New York City, London, Boston, San Francisco, Toronto, according to the Skillenai jobs index.
+How can I keep up with new data cleaning content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data cleaning alongside the jobs index. You can subscribe to a daily email digest of new data cleaning content from your Skillenai account.
Weekly job postings requiring data cleaning — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require data cleaning
| Role | Postings mentioning | % requiring |
|---|---|---|
| Data Scientist | 195 | 23.2% |
| Data Analyst | 147 | 17.5% |
| Data Engineer | 27 | 3.2% |
| Data Scientist Intern | 18 | 2.1% |
| Software Engineer | 15 | 1.8% |
| Machine Learning Engineer | 14 | 1.7% |
| Business Analyst | 12 | 1.4% |
| Quantitative Analyst | 10 | 1.2% |
| AI Engineer | 8 | 1.0% |
| Analytics Engineer | 8 | 1.0% |
Top metros hiring for data cleaning
| Name | Postings | Share |
|---|---|---|
| New York City | 29 | 3.5% |
| London | 15 | 1.8% |
| Boston | 14 | 1.7% |
| San Francisco | 14 | 1.7% |
| Toronto | 13 | 1.5% |
| Washington | 13 | 1.5% |
| Singapore | 11 | 1.3% |
| Arlington | 10 | 1.2% |
| Chicago | 10 | 1.2% |
Skills commonly paired with data cleaning
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-15. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 5a1531fc75fb85b2
- data_as_of
- 2026-09-15
- window_days
- 90
The demand, skills, and geo numbers on this page come from the same Skillenai labor market index that powers our API. Use it for compensation benchmarking, hiring-competition analysis, and skill-adoption tracking.
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