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

As of 2026-09-28, Data engineering appears in 2,222 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning Data engineering, with demand down 54% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
2,222
Demand vs prior month
down 54% vs the prior 4 weeks
Top role · 16.5% of skill postings
Top hiring metro
New York City

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Frequently asked questions about Data engineering

+Is Data engineering in demand in 2026?

Yes. Data engineering appears in 2,222 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 54% vs the prior 4 weeks. Data Engineer accounts for the most postings mentioning Data engineering (16.5% of all postings mentioning Data engineering).

+What jobs require Data 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 Data engineering are Field Engineering Manager (77.1% of that role’s postings mention Data engineering), Data Engineering Director (26.8% of that role’s postings mention Data engineering), Data Engineering Manager (25.0% of that role’s postings mention Data engineering).

+What skills are commonly paired with Data engineering?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), Data engineering most often appears alongside Python, SQL, machine learning, AWS, data pipelines.

+Where is Data engineering most in demand?

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

Roles most likely to require Data engineering

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

RolePostings mentioning skill% of role postings mentioning skill
Field Engineering Manager2777.1%
Data Engineering Director1926.8%
Data Engineering Manager5725.0%
Applied Value Engineer1025.0%
Customer Solutions Architect522.7%
Delivery Solutions Architect1021.3%
Data Product Manager1719.1%
Data Engineering Lead1318.1%
AI Director416.0%
Solutions Architect Manager415.4%

Roles with the most Data engineering postings

RolePostings mentioning skillShare of skill postings
Data Engineer36716.5%
Solutions Architect1295.8%
Data Scientist1285.8%
Software Engineer1054.7%
Data Engineering Manager572.6%
Engineering Manager542.4%
Product Manager512.3%
Machine Learning Engineer391.8%
Data Analyst361.6%
Data Architect331.5%

Top metros hiring for Data engineering

NamePostingsShare
New York City914.1%
London863.9%
San Francisco442.0%
Bengaluru371.7%
Chicago351.6%
Paris321.4%
Hyderabad311.4%
Washington271.2%
Toronto261.2%

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 2026-09-28. 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 engineering by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Data engineering postings by all Data 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
d19db1598a683d3f
data_as_of
2026-09-28
window_days
90
Hiring engineers who use Data 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