Firestore jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, Firestore appears in 131 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning Firestore.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about Firestore
+Is Firestore in demand in 2026?
Yes. Firestore appears in 131 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning Firestore (26.0% of all postings mentioning Firestore).
+What jobs require Firestore?
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 Firestore are API Engineer (4.5% of that role’s postings mention Firestore), Machine Learning Platform Engineer (4.2% of that role’s postings mention Firestore), AI Application Engineer (3.4% of that role’s postings mention Firestore).
+What skills are commonly paired with Firestore?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), Firestore most often appears alongside TypeScript, BigQuery, CI/CD, GCP, Kubernetes.
+Where is Firestore most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring Firestore are New York City, Stockholm, Munich, San Francisco, Berlin, according to the Skillenai jobs index.
+How can I keep up with new Firestore content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Firestore alongside the jobs index. You can subscribe to a daily email digest of new Firestore content from your Skillenai account.
+Which skills come before and after Firestore?
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 Firestore — last 90 days
Career paths around Firestore
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before Firestore
Skills after Firestore
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: python | 6 |
| Before: docker | 4 |
| Before: CSS | 4 |
| Before: AWS | 3 |
| Before: JavaScript | 3 |
| Before: React | 3 |
| Before: OpenShift | 2 |
| Before: MYSQL | 2 |
| After: TypeScript | 4 |
| After: React | 3 |
| After: Java | 2 |
| After: Azure Databricks | 2 |
| After: python | 2 |
| After: Oracle DB | 1 |
| After: OAuth2 | 1 |
| After: Nexus Repository | 1 |
Roles most likely to require Firestore
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| API Engineer | 1 | 4.5% |
| Machine Learning Platform Engineer | 1 | 4.2% |
| AI Application Engineer | 1 | 3.4% |
| Product Analytics Manager | 1 | 3.1% |
| Full Stack AI Engineer | 1 | 2.7% |
| Database Engineer | 2 | 2.2% |
| Full Stack Web Developer | 1 | 2.0% |
| Android Software Engineer | 3 | 1.6% |
| Front-End Developer | 1 | 1.4% |
| Integration Engineer | 1 | 1.1% |
Roles with the most Firestore postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 34 | 26.0% |
| Data Engineer | 8 | 6.1% |
| AI & Backend Engineer | 7 | 5.3% |
| Cloud Engineer | 7 | 5.3% |
| Backend Engineer | 4 | 3.1% |
| AI System Engineer | 3 | 2.3% |
| Android Software Engineer | 3 | 2.3% |
| Backend Developer | 3 | 2.3% |
| Cloud Backend Engineer | 3 | 2.3% |
| Engineering Manager | 3 | 2.3% |
Top companies posting jobs requiring Firestore
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Lovable | 15 |
| CLERA | 13 |
| 66degrees | 6 |
| HighLevel | 5 |
| GoHighLevel | 5 |
| PALO IT | 4 |
| CertifyIQ | 3 |
| Livescore9 | 3 |
| GOSUPER EDTECH | 3 |
| Triple Whale | 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 Firestore
| Name | Postings | Share |
|---|---|---|
| New York City | 8 | 6.1% |
| Stockholm | 8 | 6.1% |
| Munich | 6 | 4.6% |
| San Francisco | 6 | 4.6% |
| Berlin | 5 | 3.8% |
| London | 5 | 3.8% |
| Toronto | 4 | 3.1% |
| Pune | 3 | 2.3% |
| Barcelona | 2 | 1.5% |
Skills commonly paired with Firestore
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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 Firestore by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Firestore postings by all Firestore 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
- 2b9e879b4b7ee6fb
- 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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