data modeling jobs in 2026 — demand, top roles hiring, and related skills

As of 2026-09-28, data modeling appears in 8,615 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning data modeling, with demand down 53% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
8,615
Demand vs prior month
down 53% vs the prior 4 weeks
Top role · 17.0% of skill postings
Top hiring metro
New York City

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Frequently asked questions about data modeling

+Is data modeling in demand in 2026?

Yes. data modeling appears in 8,615 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 53% vs the prior 4 weeks. Data Engineer accounts for the most postings mentioning data modeling (17.0% of all postings mentioning data modeling).

+What jobs require data modeling?

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 data modeling are Analytics Engineering Director (60.0% of that role’s postings mention data modeling), Analytics Engineer (48.0% of that role’s postings mention data modeling), Analytics Engineering Manager (47.8% of that role’s postings mention data modeling).

+What skills are commonly paired with data modeling?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), data modeling most often appears alongside SQL, Python, ETL, data governance, data pipelines.

+Where is data modeling most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring data modeling are New York City, San Francisco, Bengaluru, London, Boston, according to the Skillenai jobs index.

+How can I keep up with new data modeling content and jobs?

Skillenai indexes news, blog posts, and research papers mentioning data modeling alongside the jobs index. You can subscribe to a daily email digest of new data modeling content from your Skillenai account.

Weekly job postings requiring data modeling — last 90 days

Salary distribution

Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized

Roles most likely to require data modeling

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

RolePostings mentioning skill% of role postings mentioning skill
Analytics Engineering Director1260.0%
Analytics Engineer35448.0%
Analytics Engineering Manager1147.8%
Business Intelligence Engineer3445.9%
Enterprise Data Architect945.0%
BI Engineer2043.5%
Data Modeler1142.3%
Power BI Developer3542.2%
Data Architect23239.9%
Finance Data Analyst1038.5%

Roles with the most data modeling postings

RolePostings mentioning skillShare of skill postings
Data Engineer1,46317.0%
Software Engineer94411.0%
Data Analyst5966.9%
Analytics Engineer3544.1%
Data Scientist3243.8%
Data Architect2322.7%
Product Manager1952.3%
Business Analyst1421.6%
Backend Engineer1141.3%
Solutions Architect931.1%

Top metros hiring for data modeling

NamePostingsShare
New York City4164.8%
San Francisco3093.6%
Bengaluru2022.3%
London1892.2%
Boston1241.4%
Toronto1231.4%
Hyderabad871.0%
Chicago760.9%
Pune750.9%

Skills commonly paired with data modeling

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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 data modeling by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data modeling postings by all data modeling 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
39234d0b187e9ada
data_as_of
2026-09-28
window_days
90
Hiring engineers who use data modeling?

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