Data engineering jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-08-13, Data engineering appears in 1,977 job postings indexed by Skillenai over the past 90 days — most often required for Data Engineer roles, with demand up 18% vs the prior 4 weeks.
Last updated · 90d ending 2026-08-13
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Frequently asked questions about Data engineering
+Is Data engineering in demand in 2026?
Yes. Data engineering appears in 1,977 job postings indexed by Skillenai over the 90 days ending 2026-08-13, with demand up 18% vs the prior 4 weeks. It is most often required for Data Engineer roles (22% of Data Engineer postings list it).
+What jobs require Data engineering?
According to the Skillenai jobs index over the 90 days ending 2026-08-13, the job titles most likely to require Data engineering are Data Engineer (22% of postings list Data engineering), AI Solutions Architect (5% of postings list Data engineering), Software Engineer (5% of postings list Data engineering).
+What skills are commonly paired with Data engineering?
Across job postings indexed by Skillenai (90 days ending 2026-08-13), Data engineering most often appears alongside Python, SQL, machine learning, data pipelines, Azure.
+Where is Data engineering most in demand?
As of 2026-08-13, the metro areas posting the most jobs requiring Data engineering are New York City, London, San Francisco, Bengaluru, Toronto, according to the Skillenai jobs index.
+How can I keep up with new Data engineering content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning Data engineering alongside the jobs index. You can subscribe to a daily email digest of new Data engineering content from your Skillenai account.
Weekly job postings requiring Data engineering — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require Data engineering
| Role | Postings mentioning | % requiring |
|---|---|---|
| Data Engineer | 433 | 21.9% |
| AI Solutions Architect | 97 | 4.9% |
| Software Engineer | 91 | 4.6% |
| Data Scientist | 86 | 4.4% |
| Solutions Architect | 76 | 3.8% |
| Machine Learning Engineer | 57 | 2.9% |
| Engineering Manager | 43 | 2.2% |
| Product Manager | 40 | 2.0% |
| Data Analyst | 33 | 1.7% |
| AI Engineer | 31 | 1.6% |
Top metros hiring for Data engineering
| Name | Postings | Share |
|---|---|---|
| New York City | 82 | 4.1% |
| London | 56 | 2.8% |
| San Francisco | 45 | 2.3% |
| Bengaluru | 30 | 1.5% |
| Toronto | 30 | 1.5% |
| Paris | 24 | 1.2% |
| Washington | 24 | 1.2% |
| Berlin | 19 | 1.0% |
| Mexico City | 19 | 1.0% |
Skills commonly paired with Data engineering
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-08-13. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- d19db1598a683d3f
- data_as_of
- 2026-08-13
- 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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