Airflow jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-28, Airflow appears in 3,300 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning Airflow, with demand down 47% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-28
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Frequently asked questions about Airflow
+Is Airflow in demand in 2026?
Yes. Airflow appears in 3,300 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 47% vs the prior 4 weeks. Data Engineer accounts for the most postings mentioning Airflow (28.1% of all postings mentioning Airflow).
+What jobs require Airflow?
According to the Skillenai jobs index over the 90 days ending 2026-09-28, among roles with at least 20 postings, the highest shares mentioning Airflow are Analytics Engineering Director (40.0% of that role’s postings mention Airflow), Machine Learning Platform Engineer (28.0% of that role’s postings mention Airflow), Data Infrastructure Engineer (27.6% of that role’s postings mention Airflow).
+What skills are commonly paired with Airflow?
Across job postings indexed by Skillenai (90 days ending 2026-09-28), Airflow most often appears alongside Python, SQL, DBT, AWS, Snowflake.
+Where is Airflow most in demand?
As of 2026-09-28, the metro areas posting the most jobs requiring Airflow are New York City, San Francisco, London, Bengaluru, Berlin, according to the Skillenai jobs index.
+How can I keep up with new Airflow content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Airflow alongside the jobs index. You can subscribe to a daily email digest of new Airflow content from your Skillenai account.
Weekly job postings requiring Airflow — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Roles most likely to require Airflow
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Analytics Engineering Director | 8 | 40.0% |
| Machine Learning Platform Engineer | 7 | 28.0% |
| Data Infrastructure Engineer | 8 | 27.6% |
| MLOps Engineer | 39 | 22.9% |
| Analytics Engineer | 153 | 20.7% |
| Data Developer | 4 | 20.0% |
| Senior Data Engineer | 7 | 19.4% |
| Data Engineering Manager | 44 | 19.3% |
| AI/ML Architect | 5 | 19.2% |
| Data Platform Engineer | 56 | 19.1% |
Roles with the most Airflow postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 928 | 28.1% |
| Software Engineer | 434 | 13.2% |
| Data Scientist | 170 | 5.2% |
| Analytics Engineer | 153 | 4.6% |
| Machine Learning Engineer | 138 | 4.2% |
| Data Analyst | 121 | 3.7% |
| Data Platform Engineer | 56 | 1.7% |
| Engineering Manager | 48 | 1.5% |
| Data Engineering Manager | 44 | 1.3% |
| Backend Engineer | 39 | 1.2% |
Top metros hiring for Airflow
| Name | Postings | Share |
|---|---|---|
| New York City | 172 | 5.2% |
| San Francisco | 135 | 4.1% |
| London | 113 | 3.4% |
| Bengaluru | 88 | 2.7% |
| Berlin | 63 | 1.9% |
| Toronto | 60 | 1.8% |
| Seattle | 45 | 1.4% |
| Hyderabad | 44 | 1.3% |
| Paris | 42 | 1.3% |
Skills commonly paired with Airflow
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-28. 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 Airflow by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Airflow postings by all Airflow 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).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- c5a16f62dfa01c9e
- data_as_of
- 2026-09-28
- 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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