Geospatial data jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-08, Geospatial data appears in 123 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Geospatial data.
Last updated · 90d ending 2026-10-08
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Frequently asked questions about Geospatial data
+Is Geospatial data in demand in 2026?
Yes. Geospatial data appears in 123 job postings indexed by Skillenai over the 90 days ending 2026-10-08. Software Engineer accounts for the most postings mentioning Geospatial data (19.5% of all postings mentioning Geospatial data).
+What jobs require Geospatial data?
According to the Skillenai jobs index over the 90 days ending 2026-10-08, among roles with at least 20 postings, the highest shares mentioning Geospatial data are Operations Data Analyst (10.7% of that role’s postings mention Geospatial data), Machine Learning Research Engineer (5.9% of that role’s postings mention Geospatial data), Machine Learning Platform Engineer (4.5% of that role’s postings mention Geospatial data).
+What skills are commonly paired with Geospatial data?
Across job postings indexed by Skillenai (90 days ending 2026-10-08), Geospatial data most often appears alongside Python, SQL, TypeScript, machine learning, AWS.
+Where is Geospatial data most in demand?
As of 2026-10-08, the metro areas posting the most jobs requiring Geospatial data are San Francisco, New York City, Arlington, Berlin, London, 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.
+Which skills come before and after Geospatial data?
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 Geospatial data — last 90 days
Career paths around Geospatial data
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Geospatial data
Skills after Geospatial data
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: real-time data communication | 1 |
| Before: Natural Language Processing (NLP) techniques | 1 |
| Before: automation features | 1 |
| Before: Azure DevOps | 1 |
| Before: data analysts | 1 |
| Before: search engine | 1 |
| Before: statistical methods | 1 |
| Before: reports | 1 |
| After: python | 3 |
| After: sql | 2 |
| After: Excel | 2 |
| After: visualizations | 1 |
| After: analytical models | 1 |
| After: fine-tuned models | 1 |
| After: Spring Boot | 1 |
| After: PostgreSQL | 1 |
Roles most likely to require Geospatial data
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Operations Data Analyst | 3 | 10.7% |
| Machine Learning Research Engineer | 2 | 5.9% |
| Machine Learning Platform Engineer | 1 | 4.5% |
| Implementation Engineer | 2 | 4.3% |
| Software Engineer, Backend | 1 | 4.0% |
| Senior Data Engineer | 1 | 2.8% |
| Quality Assurance Coordinator | 1 | 2.4% |
| Quantitative Trader | 1 | 1.7% |
| Data Engineering Lead | 1 | 1.5% |
| AI Product Engineer | 1 | 1.1% |
Roles with the most Geospatial data postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 24 | 19.5% |
| Data Scientist | 13 | 10.6% |
| Product Manager | 13 | 10.6% |
| Engineering Manager | 5 | 4.1% |
| Product Designer | 4 | 3.3% |
| Data Engineer | 3 | 2.4% |
| Machine Learning Engineer | 3 | 2.4% |
| Operations Data Analyst | 3 | 2.4% |
| Systems Engineer | 3 | 2.4% |
| Backend Engineer | 2 | 1.6% |
Top companies posting jobs requiring Geospatial data
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Planetlabs | 5 |
| Neara | 4 |
| CACI | 3 |
| ICEYE | 3 |
| Swarmer | 3 |
| DoorDash | 3 |
| Bah | 3 |
| Samsara | 3 |
| Nearmap | 2 |
| Coreweave | 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 Geospatial data
| Name | Postings | Share |
|---|---|---|
| San Francisco | 10 | 8.1% |
| New York City | 5 | 4.1% |
| Arlington | 4 | 3.3% |
| Berlin | 4 | 3.3% |
| London | 3 | 2.4% |
| Washington | 3 | 2.4% |
| Carlsbad | 2 | 1.6% |
| Foster City | 2 | 1.6% |
| San Diego | 2 | 1.6% |
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 2026-10-08. 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 Geospatial data by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Geospatial data postings by all Geospatial data 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
- 5646537e61778fab
- data_as_of
- 2026-10-08
- 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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