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

As of 2026-09-28, data pipelines appears in 8,013 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning data pipelines, with demand down 47% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
8,013
Demand vs prior month
down 47% vs the prior 4 weeks
Top role · 15.0% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about data pipelines

+Is data pipelines in demand in 2026?

Yes. data pipelines appears in 8,013 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 47% vs the prior 4 weeks. Data Engineer accounts for the most postings mentioning data pipelines (15.0% of all postings mentioning data pipelines).

+What jobs require data pipelines?

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 pipelines are AI Data Engineer (41.9% of that role’s postings mention data pipelines), Founding AI Engineer (40.9% of that role’s postings mention data pipelines), Data Developer (40.0% of that role’s postings mention data pipelines).

+What skills are commonly paired with data pipelines?

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

+Where is data pipelines most in demand?

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

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

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

Weekly job postings requiring data pipelines — last 90 days

Salary distribution

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

Roles most likely to require data pipelines

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

RolePostings mentioning skill% of role postings mentioning skill
AI Data Engineer3141.9%
Founding AI Engineer940.9%
Data Developer840.0%
Data Infrastructure Engineer1034.5%
Data Engineer Intern932.1%
Data Engineering Intern1130.6%
Analytics Engineering Manager730.4%
Analytics Engineering Director630.0%
Machine Learning Engineering Manager1728.8%
Data Engineering Manager6327.8%

Roles with the most data pipelines postings

RolePostings mentioning skillShare of skill postings
Data Engineer1,20215.0%
Software Engineer1,14214.3%
Data Scientist4655.8%
Data Analyst3153.9%
Machine Learning Engineer3143.9%
Product Manager2603.2%
Forward Deployed Engineer1812.3%
Analytics Engineer1592.0%
AI Engineer1541.9%
Backend Engineer1111.4%

Top metros hiring for data pipelines

NamePostingsShare
San Francisco4926.1%
New York City4155.2%
London2663.3%
Bengaluru1652.1%
Toronto1331.7%
Boston1091.4%
Mountain View1001.2%
Seattle971.2%
Singapore961.2%

Skills commonly paired with data pipelines

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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 pipelines by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data pipelines postings by all data pipelines 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
65265be22fd43c1a
data_as_of
2026-09-28
window_days
90
Hiring engineers who use data pipelines?

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