Geospatial data jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-08-26, Geospatial data appears in 107 job postings indexed by Skillenai over the past 90 days — most often required for Software Engineer roles, with demand down 40% vs the prior 4 weeks.
Last updated · 90d ending 2026-08-26
Which roles want Geospatial data?
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Frequently asked questions about Geospatial data
+Is Geospatial data in demand in 2026?
Yes. Geospatial data appears in 107 job postings indexed by Skillenai over the 90 days ending 2026-08-26, with demand down 40% vs the prior 4 weeks. It is most often required for Software Engineer roles (20% of Software Engineer postings list it).
+What jobs require Geospatial data?
According to the Skillenai jobs index over the 90 days ending 2026-08-26, the job titles most likely to require Geospatial data are Software Engineer (20% of postings list Geospatial data), Data Scientist (14% of postings list Geospatial data), Product Manager (12% of postings list Geospatial data).
+What skills are commonly paired with Geospatial data?
Across job postings indexed by Skillenai (90 days ending 2026-08-26), Geospatial data most often appears alongside Python, machine learning, TypeScript, SQL, data pipelines.
+Where is Geospatial data most in demand?
As of 2026-08-26, the metro areas posting the most jobs requiring Geospatial data are New York City, San Francisco, Berlin, London, Mountain View, according to the Skillenai jobs index.
+How can I keep up with new Geospatial data content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Geospatial data alongside the jobs index. You can subscribe to a daily email digest of new Geospatial data content from your Skillenai account.
Weekly job postings requiring Geospatial data — last 90 days
Job titles most likely to require Geospatial data
| Role | Postings mentioning | % requiring |
|---|---|---|
| Software Engineer | 21 | 19.6% |
| Data Scientist | 15 | 14.0% |
| Product Manager | 13 | 12.1% |
| Engineering Manager | 7 | 6.5% |
| Product Designer | 5 | 4.7% |
| Backend Engineer | 2 | 1.9% |
| Data Science Team Lead | 2 | 1.9% |
| Implementation Engineer | 2 | 1.9% |
| Machine Learning Platform Engineer | 2 | 1.9% |
| Machine Learning Research Engineer | 2 | 1.9% |
Top metros hiring for Geospatial data
| Name | Postings | Share |
|---|---|---|
| New York City | 7 | 6.5% |
| San Francisco | 6 | 5.6% |
| Berlin | 4 | 3.7% |
| London | 3 | 2.8% |
| Mountain View | 3 | 2.8% |
| Arlington | 2 | 1.9% |
| Austin | 2 | 1.9% |
| Bozeman | 2 | 1.9% |
| Satakha | 2 | 1.9% |
Skills commonly paired with Geospatial data
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-08-26. 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
- 5646537e61778fab
- data_as_of
- 2026-08-26
- 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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