views jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, views appears in 167 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning views.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about views
+Is views in demand in 2026?
Yes. views appears in 167 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning views (15.6% of all postings mentioning views).
+What jobs require views?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning views are Database Developer (8.3% of that role’s postings mention views), Solutions Analyst (4.8% of that role’s postings mention views), Full Stack Software Developer (4.1% of that role’s postings mention views).
+What skills are commonly paired with views?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), views most often appears alongside stored procedures, SQL, ETL, Functions, triggers.
+Where is views most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring views are Bengaluru, Hyderabad, New York City, Silver Spring, Charlotte, according to the Skillenai jobs index.
+How can I keep up with new views content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning views alongside the jobs index. You can subscribe to a daily email digest of new views content from your Skillenai account.
+Which skills come before and after views?
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 views — last 90 days
Career paths around views
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before views
Skills after views
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: sql | 26 |
| Before: Power BI | 16 |
| Before: python | 15 |
| Before: Tableau | 14 |
| Before: C# | 12 |
| Before: SSRS | 12 |
| Before: SQL Server | 12 |
| Before: stored procedures | 11 |
| After: python | 17 |
| After: sql | 16 |
| After: ETL | 13 |
| After: Tableau | 12 |
| After: SQL Server | 12 |
| After: Power BI | 11 |
| After: PySpark | 10 |
| After: Excel | 9 |
Roles most likely to require views
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Database Developer | 2 | 8.3% |
| Solutions Analyst | 1 | 4.8% |
| Full Stack Software Developer | 2 | 4.1% |
| SQL Database Administrator | 1 | 4.0% |
| Business Intelligence Developer | 4 | 3.6% |
| Database Architect | 1 | 3.6% |
| Database Engineer | 3 | 3.3% |
| Business Operations Analyst | 1 | 3.1% |
| Oracle Database Administrator | 1 | 3.0% |
| Business Intelligence Lead | 1 | 2.8% |
Roles with the most views postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 26 | 15.6% |
| Data Engineer | 15 | 9.0% |
| Data Analyst | 10 | 6.0% |
| Database Administrator | 7 | 4.2% |
| Data QA Engineer | 6 | 3.6% |
| SQL Developer | 5 | 3.0% |
| Business Intelligence Developer | 4 | 2.4% |
| Android Engineer | 3 | 1.8% |
| Business Analyst | 3 | 1.8% |
| Database Engineer | 3 | 1.8% |
Top companies posting jobs requiring views
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Truelogic | 6 |
| ProSidian Consulting | 5 |
| NECSWS | 5 |
| Motivity Labs | 4 |
| Judi Health | 3 |
| Veeam | 3 |
| Cigna | 3 |
| JPMorgan Chase & Co. | 3 |
| 360 IT Professionals | 2 |
| The New York Times | 2 |
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 views
| Name | Postings | Share |
|---|---|---|
| Bengaluru | 6 | 3.6% |
| Hyderabad | 5 | 3.0% |
| New York City | 5 | 3.0% |
| Silver Spring | 4 | 2.4% |
| Charlotte | 3 | 1.8% |
| Barcelona | 2 | 1.2% |
| Chicago | 2 | 1.2% |
| Indianapolis | 2 | 1.2% |
| Lansing | 2 | 1.2% |
Skills commonly paired with views
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 views by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s views postings by all views 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 7726925c3157f28d
- data_as_of
- 2026-09-30
- 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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