data synchronization jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-11-05, data synchronization appears in 148 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning data synchronization.
Last updated · 90d ending 2026-11-05
Which roles want data synchronization?
Upload your resume and Skillenai will show which roles your data synchronization experience fits, which skills you already cover, and what is missing.
Frequently asked questions about data synchronization
+Is data synchronization in demand in 2026?
Yes. data synchronization appears in 148 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Software Engineer accounts for the most postings mentioning data synchronization (13.5% of all postings mentioning data synchronization).
+What jobs require data synchronization?
According to the Skillenai jobs index over the 90 days ending 2026-11-05, among roles with at least 20 postings, the highest shares mentioning data synchronization are Core Infrastructure Engineer (13.6% of that role’s postings mention data synchronization), Node.js Developer (5.0% of that role’s postings mention data synchronization), Shopify Developer (5.0% of that role’s postings mention data synchronization).
+What skills are commonly paired with data synchronization?
Across job postings indexed by Skillenai (90 days ending 2026-11-05), data synchronization most often appears alongside Python, SQL, CI/CD, TypeScript, Distributed systems.
+Where is data synchronization most in demand?
As of 2026-11-05, the metro areas posting the most jobs requiring data synchronization are Munich, New York City, San Francisco, Nashville, Seattle, according to the Skillenai jobs index.
+How can I keep up with new data synchronization content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data synchronization alongside the jobs index. You can subscribe to a daily email digest of new data synchronization content from your Skillenai account.
+Which skills come before and after data synchronization?
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 synchronization — last 90 days
Career paths around data synchronization
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data synchronization
Skills after data synchronization
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: React | 2 |
| Before: react-testing-library | 1 |
| Before: C# | 1 |
| Before: big data IM system | 1 |
| Before: system requirements | 1 |
| Before: release process | 1 |
| Before: Parallels Helm hosting panel | 1 |
| Before: Cameras | 1 |
| After: data replication | 1 |
| After: testing | 1 |
| After: C# | 1 |
| After: database upgrades | 1 |
| After: data cleansing | 1 |
| After: Data ingestion | 1 |
| After: Windows | 1 |
| After: Third-party APIs | 1 |
Roles most likely to require data synchronization
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Core Infrastructure Engineer | 6 | 13.6% |
| Node.js Developer | 1 | 5.0% |
| Shopify Developer | 1 | 5.0% |
| VP of Engineering | 2 | 4.0% |
| Salesforce Technical Lead | 1 | 3.6% |
| Integration Developer | 2 | 2.9% |
| Integration Architect | 3 | 2.8% |
| Database Architect | 1 | 2.7% |
| Cloud Data Engineer | 1 | 2.1% |
| Technology Architect | 1 | 1.8% |
Roles with the most data synchronization postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 20 | 13.5% |
| Full Stack Engineer | 15 | 10.1% |
| Product Manager | 7 | 4.7% |
| Core Infrastructure Engineer | 6 | 4.1% |
| Data Engineer | 4 | 2.7% |
| Solutions Architect | 4 | 2.7% |
| Backend Engineer | 3 | 2.0% |
| Engineering Manager | 3 | 2.0% |
| Integration Architect | 3 | 2.0% |
| Software Architect | 3 | 2.0% |
Top companies posting jobs requiring data synchronization
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| CLERA | 14 |
| Oracle | 8 |
| Bright Vision Technologies | 5 |
| Wayve | 3 |
| Deloitte | 3 |
| Melio | 3 |
| Airbyte | 3 |
| DualEntry | 3 |
| Cobalt.io | 2 |
| People.ai | 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 data synchronization
| Name | Postings | Share |
|---|---|---|
| Munich | 12 | 8.1% |
| New York City | 9 | 6.1% |
| San Francisco | 6 | 4.1% |
| Nashville | 5 | 3.4% |
| Seattle | 3 | 2.0% |
| Tel Aviv | 3 | 2.0% |
| Toronto | 3 | 2.0% |
| Austin | 2 | 1.4% |
| Bengaluru | 2 | 1.4% |
Skills commonly paired with data synchronization
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 2026-11-05. 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 synchronization by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data synchronization postings by all data synchronization 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
- 330ea549e7ddf60c
- data_as_of
- 2026-11-05
- window_days
- 90