data transformation jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-06-11, data transformation appears in 2,630 job postings indexed by Skillenai over the past 90 days — most often required for Data Engineer roles, with demand down 46% vs the prior 4 weeks.
Last updated · 90d ending 2026-06-11
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Frequently asked questions about data transformation
+Is data transformation in demand in 2026?
Yes. data transformation appears in 2,630 job postings indexed by Skillenai over the 90 days ending 2026-06-11, with demand down 46% 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 transformation?
According to the Skillenai jobs index over the 90 days ending 2026-06-11, the job titles most likely to require data transformation are Data Engineer (22% of postings list data transformation), Lead Data Engineer (6% of postings list data transformation), Data Analyst (6% of postings list data transformation).
+What skills are commonly paired with data transformation?
Across job postings indexed by Skillenai (90 days ending 2026-06-11), data transformation most often appears alongside SQL, Python, data modeling, ETL, data pipelines.
+Where is data transformation most in demand?
As of 2026-06-11, the metro areas posting the most jobs requiring data transformation are New York City, London, San Francisco, Bengaluru, Toronto, according to the Skillenai jobs index.
+How can I keep up with new data transformation content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data transformation alongside the jobs index. You can subscribe to a daily email digest of new data transformation content from your Skillenai account.
Weekly job postings requiring data transformation — last 90 days
Job titles most likely to require data transformation
| Role | Postings mentioning | % requiring |
|---|---|---|
| Data Engineer | 592 | 22.5% |
| Lead Data Engineer | 160 | 6.1% |
| Data Analyst | 156 | 5.9% |
| Software Engineer | 148 | 5.6% |
| Analytics Engineer | 116 | 4.4% |
| Data Scientist | 102 | 3.9% |
| Product Manager | 46 | 1.7% |
| Data Architect | 35 | 1.3% |
| Machine Learning Engineer | 27 | 1.0% |
| Senior Data Engineer | 26 | 1.0% |
Top metros hiring for data transformation
| Name | Postings | Share |
|---|---|---|
| New York City | 144 | 5.5% |
| London | 97 | 3.7% |
| San Francisco | 87 | 3.3% |
| Bengaluru | 59 | 2.2% |
| Toronto | 40 | 1.5% |
| Pune | 33 | 1.3% |
| Seattle | 31 | 1.2% |
| Paris | 24 | 0.9% |
| Singapore | 23 | 0.9% |
Skills commonly paired with data transformation
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-06-11. 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
- cde13a3121e96a79
- data_as_of
- 2026-06-11
- 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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