data quality monitoring jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-05-17, data quality monitoring appears in 282 job postings indexed by Skillenai over the past 90 days — most often required for Data Engineer roles, with demand down 54% vs the prior 4 weeks.
Last updated · 90d ending 2026-05-17
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Frequently asked questions about data quality monitoring
+Is data quality monitoring in demand in 2026?
Yes. data quality monitoring appears in 282 job postings indexed by Skillenai over the 90 days ending 2026-05-17, with demand down 54% vs the prior 4 weeks. It is most often required for Data Engineer roles (20% of Data Engineer postings list it).
+What jobs require data quality monitoring?
According to the Skillenai jobs index over the 90 days ending 2026-05-17, the job titles most likely to require data quality monitoring are Data Engineer (20% of postings list data quality monitoring), Data Scientist (6% of postings list data quality monitoring), Analytics Engineer (4% of postings list data quality monitoring).
+What skills are commonly paired with data quality monitoring?
Across job postings indexed by Skillenai (90 days ending 2026-05-17), data quality monitoring most often appears alongside SQL, Python, data modeling, data pipelines, data governance.
+Where is data quality monitoring most in demand?
As of 2026-05-17, the metro areas posting the most jobs requiring data quality monitoring are New York City, San Francisco, London, Austin, McLean, according to the Skillenai jobs index.
+How can I keep up with new data quality monitoring content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data quality monitoring alongside the jobs index. You can subscribe to a daily email digest of new data quality monitoring content from your Skillenai account.
Weekly job postings requiring data quality monitoring — last 90 days
Job titles most likely to require data quality monitoring
| Role | Postings mentioning | % requiring |
|---|---|---|
| Data Engineer | 55 | 19.5% |
| Data Scientist | 16 | 5.7% |
| Analytics Engineer | 12 | 4.3% |
| Data Analyst | 9 | 3.2% |
| Principal Data Analyst | 8 | 2.8% |
| Senior Data Engineer | 8 | 2.8% |
| Product Manager | 7 | 2.5% |
| Software Engineer | 7 | 2.5% |
| AI Data Engineer | 6 | 2.1% |
| Data Operations Analyst | 6 | 2.1% |
Top metros hiring for data quality monitoring
| Name | Postings | Share |
|---|---|---|
| New York City | 26 | 29.5% |
| San Francisco | 16 | 18.2% |
| London | 13 | 14.8% |
| Austin | 6 | 6.8% |
| McLean | 6 | 6.8% |
| Singapore | 6 | 6.8% |
| Toronto | 6 | 6.8% |
| Bengaluru | 5 | 5.7% |
| Barcelona | 4 | 4.5% |
Skills commonly paired with data quality monitoring
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-05-17. 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
- 0af61c037ce74f48
- data_as_of
- 2026-05-17
- 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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