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

As of 2026-09-28, data integration appears in 2,241 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning data integration, with demand down 53% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
2,241
Demand vs prior month
down 53% vs the prior 4 weeks
Top role · 15.3% of skill postings
Top hiring metro
New York City

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Frequently asked questions about data integration

+Is data integration in demand in 2026?

Yes. data integration appears in 2,241 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 integration (15.3% of all postings mentioning data integration).

+What jobs require data integration?

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 integration are Customer Value Architect (30.0% of that role’s postings mention data integration), Enterprise Data Architect (30.0% of that role’s postings mention data integration), Solutions Engineer (25.8% of that role’s postings mention data integration).

+What skills are commonly paired with data integration?

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

+Where is data integration most in demand?

As of 2026-09-28, the metro areas posting the most jobs requiring data integration are New York City, London, Bengaluru, Chicago, Hyderabad, according to the Skillenai jobs index.

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

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

Weekly job postings requiring data integration — last 90 days

Salary distribution

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

Roles most likely to require data integration

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

RolePostings mentioning skill% of role postings mentioning skill
Customer Value Architect630.0%
Enterprise Data Architect630.0%
Solutions Engineer825.8%
Commercial Analytics Manager521.7%
Deployment Architect521.7%
Data Architect11319.4%
ETL Developer918.4%
Data Engineering Director1216.9%
Implementation Engineer816.7%
Success Architect716.7%

Roles with the most data integration postings

RolePostings mentioning skillShare of skill postings
Data Engineer34215.3%
Data Analyst1185.3%
Data Architect1135.0%
Data Scientist934.1%
Product Manager883.9%
Software Engineer873.9%
Business Analyst542.4%
Solution Architect532.4%
Solutions Architect341.5%
Forward Deployed Engineer210.9%

Top metros hiring for data integration

NamePostingsShare
New York City582.6%
London462.1%
Bengaluru381.7%
Chicago361.6%
Hyderabad331.5%
Toronto301.3%
Arlington271.2%
Pune261.2%
San Francisco261.2%

Skills commonly paired with data integration

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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 integration by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data integration postings by all data integration 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
3449d38710d44449
data_as_of
2026-09-28
window_days
90
Hiring engineers who use data integration?

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