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

As of 2026-09-28, Data integrity appears in 1,078 job postings indexed by Skillenai over the past 90 days — Data Analyst has the most postings mentioning Data integrity, with demand down 33% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-28

Postings · last 90 days
1,078
Demand vs prior month
down 33% vs the prior 4 weeks
Top role · 8.0% of skill postings
Top hiring metro
New York City

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Frequently asked questions about Data integrity

+Is Data integrity in demand in 2026?

Yes. Data integrity appears in 1,078 job postings indexed by Skillenai over the 90 days ending 2026-09-28, with demand down 33% vs the prior 4 weeks. Data Analyst accounts for the most postings mentioning Data integrity (8.0% of all postings mentioning Data integrity).

+What jobs require Data integrity?

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 integrity are Sales Operations Analyst (22.0% of that role’s postings mention Data integrity), Manufacturing Systems Engineer (16.2% of that role’s postings mention Data integrity), Business Intelligence Director (10.3% of that role’s postings mention Data integrity).

+What skills are commonly paired with Data integrity?

Across job postings indexed by Skillenai (90 days ending 2026-09-28), Data integrity most often appears alongside SQL, Python, data quality, data governance, Tableau.

+Where is Data integrity most in demand?

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

+How can I keep up with new Data integrity content and jobs?

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

Weekly job postings requiring Data integrity — last 90 days

Salary distribution

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

Roles most likely to require Data integrity

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

RolePostings mentioning skill% of role postings mentioning skill
Sales Operations Analyst1322.0%
Manufacturing Systems Engineer616.2%
Business Intelligence Director410.3%
Business Intelligence Specialist410.3%
Marketing Analytics Lead29.1%
Quality Assurance Director78.3%
Quality Assurance Coordinator38.3%
Finance Data Analyst27.7%
Success Architect37.1%
Sales Operations Manager27.1%

Roles with the most Data integrity postings

RolePostings mentioning skillShare of skill postings
Data Analyst868.0%
Software Engineer706.5%
Data Scientist575.3%
Data Engineer434.0%
Product Manager333.1%
Business Analyst242.2%
Quality Assurance Specialist181.7%
Sales Operations Analyst131.2%
Business Intelligence Analyst100.9%
Database Administrator100.9%

Top metros hiring for Data integrity

NamePostingsShare
New York City474.4%
San Francisco292.7%
London262.4%
Toronto242.2%
Hyderabad211.9%
Chicago151.4%
Washington141.3%
Singapore111.0%
Austin100.9%

Skills commonly paired with Data integrity

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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 integrity by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s Data integrity postings by all Data integrity 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
bf345cc2e5223e57
data_as_of
2026-09-28
window_days
90
Hiring engineers who use Data integrity?

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