data monitoring jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, data monitoring appears in 225 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning data monitoring, with demand share down 11.3% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want data monitoring?
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Frequently asked questions about data monitoring
+Is data monitoring in demand in 2026?
Yes. data monitoring appears in 225 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Engineer accounts for the most postings mentioning data monitoring (32.9% of all postings mentioning data monitoring).
+What jobs require data monitoring?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning data monitoring are Software Development Test Engineer (14.3% of that role’s postings mention data monitoring), Actuarial Analyst (9.5% of that role’s postings mention data monitoring), DataOps Engineer (5.0% of that role’s postings mention data monitoring).
+What skills are commonly paired with data monitoring?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), data monitoring most often appears alongside SQL, Python, data validation, ETL, data modeling.
+Where is data monitoring most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring data monitoring are London, New York City, Bengaluru, San Francisco, Pune, according to the Skillenai jobs index.
+How can I keep up with new data monitoring content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data monitoring alongside the jobs index. You can subscribe to a daily email digest of new data monitoring content from your Skillenai account.
+Which skills come before and after data monitoring?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring data monitoring — last 90 days
Career paths around data monitoring
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data monitoring
Skills after data monitoring
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: spark | 1 |
| Before: SNS | 1 |
| Before: Data Mining | 1 |
| Before: CI and CD | 1 |
| Before: python | 1 |
| Before: pair program | 1 |
| Before: MYSQL | 1 |
| Before: Data quality | 1 |
| After: item master data | 1 |
| After: Version control | 1 |
| After: quality control | 1 |
| After: Automated build | 1 |
| After: data integrity | 1 |
| After: Riversand | 1 |
| After: deployment systems | 1 |
Roles most likely to require data monitoring
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Software Development Test Engineer | 4 | 14.3% |
| Actuarial Analyst | 2 | 9.5% |
| DataOps Engineer | 1 | 5.0% |
| People Analytics Analyst | 1 | 5.0% |
| Research Program Manager | 1 | 4.5% |
| Business Intelligence Engineer | 4 | 4.3% |
| Business Intelligence Architect | 1 | 4.3% |
| Business Manager | 1 | 4.3% |
| Quantitative Finance Analyst | 1 | 4.2% |
| Lead Data Engineer | 3 | 4.1% |
Roles with the most data monitoring postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 74 | 32.9% |
| Analytics Engineer | 21 | 9.3% |
| Data Analyst | 13 | 5.8% |
| Data Scientist | 10 | 4.4% |
| Product Manager | 6 | 2.7% |
| Data Engineering Manager | 5 | 2.2% |
| Business Intelligence Engineer | 4 | 1.8% |
| Software Development Test Engineer | 4 | 1.8% |
| Data Analytics Manager | 3 | 1.3% |
| Lead Data Engineer | 3 | 1.3% |
Top companies posting jobs requiring data monitoring
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Wise | 6 |
| WPP | 5 |
| Tekion | 5 |
| Mastercard | 4 |
| Blend360 | 4 |
| Wayve | 4 |
| Workato | 4 |
| Barclays | 3 |
| NielsenIQ | 3 |
| Ciandt | 3 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for data monitoring
| Name | Postings | Share |
|---|---|---|
| London | 10 | 4.4% |
| New York City | 8 | 3.6% |
| Bengaluru | 6 | 2.7% |
| San Francisco | 6 | 2.7% |
| Pune | 5 | 2.2% |
| Singapore | 5 | 2.2% |
| Boston | 4 | 1.8% |
| Toronto | 4 | 1.8% |
| Dublin | 3 | 1.3% |
Skills commonly paired with data monitoring
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-30. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Role prevalence divides postings mentioning data monitoring by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data monitoring postings by all data monitoring postings, including postings without a role. Shares need not sum to 100% for the displayed roles. Pages refresh weekly (or daily for the top-50 most-requested skills). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- b2b06c2586286d33
- data_as_of
- 2026-10-30
- window_days
- 90