data orchestration jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-07, data orchestration appears in 384 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning data orchestration, with demand share up 5.1% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-07
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Frequently asked questions about data orchestration
+Is data orchestration in demand in 2026?
Yes. data orchestration appears in 384 job postings indexed by Skillenai over the 90 days ending 2026-10-07. Data Engineer accounts for the most postings mentioning data orchestration (27.3% of all postings mentioning data orchestration).
+What jobs require data orchestration?
According to the Skillenai jobs index over the 90 days ending 2026-10-07, among roles with at least 20 postings, the highest shares mentioning data orchestration are Senior Data Engineer (8.1% of that role’s postings mention data orchestration), Credit Risk Analyst (8.0% of that role’s postings mention data orchestration), Lead Data Engineer (5.2% of that role’s postings mention data orchestration).
+What skills are commonly paired with data orchestration?
Across job postings indexed by Skillenai (90 days ending 2026-10-07), data orchestration most often appears alongside SQL, Python, data modeling, data pipelines, ETL.
+Where is data orchestration most in demand?
As of 2026-10-07, the metro areas posting the most jobs requiring data orchestration are New York City, San Francisco, Toronto, London, Bengaluru, according to the Skillenai jobs index.
+How can I keep up with new data orchestration content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data orchestration alongside the jobs index. You can subscribe to a daily email digest of new data orchestration content from your Skillenai account.
+Which skills come before and after data orchestration?
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 orchestration — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around data orchestration
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data orchestration
Skills after data orchestration
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: claims data | 1 |
| Before: Natural Language Processing | 1 |
| Before: CRM tool | 1 |
| Before: sentiment analysis | 1 |
| After: React Native | 1 |
| After: Diffusion models | 1 |
| After: APIs | 1 |
| After: React | 1 |
Roles most likely to require data orchestration
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Senior Data Engineer | 3 | 8.1% |
| Credit Risk Analyst | 2 | 8.0% |
| Lead Data Engineer | 4 | 5.2% |
| Analytics Engineering Director | 1 | 4.8% |
| Data Engineering Intern | 2 | 4.7% |
| Machine Learning Platform Engineer | 1 | 4.5% |
| Enterprise Solution Architect | 1 | 4.3% |
| AI Data Engineer | 3 | 4.1% |
| Finance Data Analyst | 1 | 4.0% |
| Azure DevOps Engineer | 1 | 3.7% |
Roles with the most data orchestration postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 105 | 27.3% |
| Software Engineer | 38 | 9.9% |
| Product Manager | 18 | 4.7% |
| Data Architect | 16 | 4.2% |
| Data Analyst | 15 | 3.9% |
| Analytics Engineer | 14 | 3.6% |
| Data Platform Engineer | 9 | 2.3% |
| Data Engineering Manager | 8 | 2.1% |
| Data Scientist | 7 | 1.8% |
| Engineering Manager | 4 | 1.0% |
Top companies posting jobs requiring data orchestration
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Astronomer | 6 |
| Dentsuaegis | 6 |
| Samsara | 6 |
| 5 | |
| Percepta | 4 |
| Elliptic | 4 |
| Baytech Consulting | 4 |
| Lyft | 4 |
| Cisco | 4 |
| Altera | 4 |
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 orchestration
| Name | Postings | Share |
|---|---|---|
| New York City | 29 | 7.6% |
| San Francisco | 18 | 4.7% |
| Toronto | 15 | 3.9% |
| London | 12 | 3.1% |
| Bengaluru | 9 | 2.3% |
| Berlin | 7 | 1.8% |
| Boston | 6 | 1.6% |
| Los Angeles | 6 | 1.6% |
| Seattle | 6 | 1.6% |
Skills commonly paired with data orchestration
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-07. 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 orchestration by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data orchestration postings by all data orchestration 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). Adjusted posting share: 0.1% to 0.2%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,617 identified employers and covers 70% of earlier and 72% of latest indexed postings. Windows: 2026-06-09 to 2026-09-07 and 2026-07-07 to 2026-10-05 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 40b63543e0daa51b
- data_as_of
- 2026-10-07
- 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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