feature engineering jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-07, feature engineering appears in 1,314 job postings indexed by Skillenai over the past 90 days — most often required for Data Scientist roles, with demand up 25% vs the prior 4 weeks.
Last updated · 90d ending 2026-09-07
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Frequently asked questions about feature engineering
+Is feature engineering in demand in 2026?
Yes. feature engineering appears in 1,314 job postings indexed by Skillenai over the 90 days ending 2026-09-07, with demand up 25% vs the prior 4 weeks. It is most often required for Data Scientist roles (29% of Data Scientist postings list it).
+What jobs require feature engineering?
According to the Skillenai jobs index over the 90 days ending 2026-09-07, the job titles most likely to require feature engineering are Data Scientist (29% of postings list feature engineering), Machine Learning Engineer (18% of postings list feature engineering), Software Engineer (6% of postings list feature engineering).
+What skills are commonly paired with feature engineering?
Across job postings indexed by Skillenai (90 days ending 2026-09-07), feature engineering most often appears alongside Python, machine learning, SQL, PyTorch, TensorFlow.
+Where is feature engineering most in demand?
As of 2026-09-07, the metro areas posting the most jobs requiring feature engineering are London, New York City, Bengaluru, San Francisco, Seattle, according to the Skillenai jobs index.
+How can I keep up with new feature engineering content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning feature engineering alongside the jobs index. You can subscribe to a daily email digest of new feature engineering content from your Skillenai account.
Weekly job postings requiring feature engineering — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Job titles most likely to require feature engineering
| Role | Postings mentioning | % requiring |
|---|---|---|
| Data Scientist | 383 | 29.1% |
| Machine Learning Engineer | 243 | 18.5% |
| Software Engineer | 84 | 6.4% |
| ML Engineer | 49 | 3.7% |
| Data Engineer | 43 | 3.3% |
| AI Engineer | 33 | 2.5% |
| AI/ML Engineer | 20 | 1.5% |
| Quantitative Researcher | 19 | 1.4% |
| Solutions Architect | 17 | 1.3% |
| Machine Learning Scientist | 16 | 1.2% |
Top metros hiring for feature engineering
| Name | Postings | Share |
|---|---|---|
| London | 61 | 4.6% |
| New York City | 61 | 4.6% |
| Bengaluru | 39 | 3.0% |
| San Francisco | 33 | 2.5% |
| Seattle | 25 | 1.9% |
| San Jose | 23 | 1.8% |
| Hyderabad | 19 | 1.4% |
| Toronto | 17 | 1.3% |
| Mountain View | 16 | 1.2% |
Skills commonly paired with feature engineering
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-07. 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
- e94571021061c2b0
- data_as_of
- 2026-09-07
- 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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