feature engineering jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, feature engineering appears in 1,404 job postings indexed by Skillenai over the past 90 days — Data Scientist has the most postings mentioning feature engineering, with demand down 12% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
1,404
Demand vs prior month
down 12% vs the prior 4 weeks
Top role · 29.6% of skill postings
Top hiring metro
New York City

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Frequently asked questions about feature engineering

+Is feature engineering in demand in 2026?

Yes. feature engineering appears in 1,404 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 12% vs the prior 4 weeks. Data Scientist accounts for the most postings mentioning feature engineering (29.6% of all postings mentioning feature engineering).

+What jobs require feature engineering?

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 feature engineering are AI/ML Architect (19.2% of that role’s postings mention feature engineering), Quantitative Researcher (15.7% of that role’s postings mention feature engineering), Senior Data Scientist (15.4% of that role’s postings mention feature engineering).

+What skills are commonly paired with feature engineering?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), feature engineering most often appears alongside Python, machine learning, SQL, PyTorch, model evaluation.

+Where is feature engineering most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring feature engineering are New York City, London, Bengaluru, San Francisco, Singapore, 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

Roles most likely to require feature engineering

Among roles with at least 20 postings in the same period.

RolePostings mentioning skill% of role postings mentioning skill
AI/ML Architect519.2%
Quantitative Researcher2715.7%
Senior Data Scientist415.4%
Machine Learning Scientist1813.0%
Lead Data Scientist1212.4%
AI / ML Engineer611.8%
Machine Learning Engineer2149.4%
Machine Learning Infrastructure Engineer39.1%
Machine Learning Manager28.7%
Data Analytics Consultant38.1%

Roles with the most feature engineering postings

RolePostings mentioning skillShare of skill postings
Data Scientist41529.6%
Machine Learning Engineer21415.2%
Software Engineer825.8%
ML Engineer614.3%
AI Engineer503.6%
Data Engineer453.2%
Quantitative Researcher271.9%
AI/ML Engineer231.6%
Machine Learning Scientist181.3%
Data Analyst161.1%

Top metros hiring for feature engineering

NamePostingsShare
New York City644.6%
London513.6%
Bengaluru483.4%
San Francisco392.8%
Singapore261.9%
Hyderabad251.8%
Toronto191.4%
Hong Kong181.3%
Seattle151.1%

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 2026-09-28. 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 feature engineering by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s feature engineering postings by all feature engineering 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
e94571021061c2b0
data_as_of
2026-09-28
window_days
90
Hiring engineers who use feature engineering?

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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Compiled by Jared Rand · Data sourced from the Skillenai labor market index