data quality assurance jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-10-30, data quality assurance appears in 194 job postings indexed by Skillenai over the past 90 days — Data Analyst has the most postings mentioning data quality assurance, with demand share down 12.2% vs the prior 4 weeks.
Last updated · 90d ending 2026-10-30
Which roles want data quality assurance?
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Frequently asked questions about data quality assurance
+Is data quality assurance in demand in 2026?
Yes. data quality assurance appears in 194 job postings indexed by Skillenai over the 90 days ending 2026-10-30. Data Analyst accounts for the most postings mentioning data quality assurance (21.1% of all postings mentioning data quality assurance).
+What jobs require data quality assurance?
According to the Skillenai jobs index over the 90 days ending 2026-10-30, among roles with at least 20 postings, the highest shares mentioning data quality assurance are Database Developer (6.5% of that role’s postings mention data quality assurance), Deployment Engineer (5.1% of that role’s postings mention data quality assurance), Analytics Developer (4.8% of that role’s postings mention data quality assurance).
+What skills are commonly paired with data quality assurance?
Across job postings indexed by Skillenai (90 days ending 2026-10-30), data quality assurance most often appears alongside SQL, Python, data validation, Data analysis, Power BI.
+Where is data quality assurance most in demand?
As of 2026-10-30, the metro areas posting the most jobs requiring data quality assurance are Bucharest, New York City, Hyderabad, Toronto, Austin, according to the Skillenai jobs index.
+How can I keep up with new data quality assurance content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data quality assurance alongside the jobs index. You can subscribe to a daily email digest of new data quality assurance content from your Skillenai account.
+Which skills come before and after data quality assurance?
The skill-flow chart shows skills documented in adjacent positions across observed employer changes. An outgoing skill is documented in the following position but not the preceding one. These are ideas to explore, not proven prerequisites, acquisition dates, or levels of mastery. Each ribbon counts employer moves with that skill pair; one move can contribute several pairs.
Weekly indexed postings requiring data quality assurance — last 90 days
Career paths around data quality assurance
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data quality assurance
Skills after data quality assurance
How to read this chart · view counts
Each side is an independent set of observed employer moves, not the same people followed through three stages. Ribbon widths compare move counts within that side. Internal moves are not included.
The following position documents a skill that the preceding position does not. Skills must be linked to both positions, with clear dates and no overlap. One move can connect several skill pairs. These patterns suggest skills to explore; they do not establish prerequisites, when a skill was learned, or a higher skill level.
Source: Skillenai talent graph, historical career profiles. Historical descriptions and coverage can change. Only the leading published connections are shown.
| Connection | Moves |
|---|---|
| Before: Power BI | 2 |
| Before: sql | 2 |
| Before: spark | 1 |
| Before: Flat Files | 1 |
| Before: Azure SQL Data Warehouse | 1 |
| Before: testing | 1 |
| Before: oracle | 1 |
| Before: internal documentation | 1 |
| After: APIs | 2 |
| After: data integrity | 2 |
| After: data cleaning | 2 |
| After: data validation | 2 |
| After: data collection | 2 |
| After: Tableau | 2 |
| After: ci/cd | 1 |
| After: ETL pipelines | 1 |
Roles most likely to require data quality assurance
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Database Developer | 2 | 6.5% |
| Deployment Engineer | 2 | 5.1% |
| Analytics Developer | 1 | 4.8% |
| Business Intelligence Engineer | 3 | 3.3% |
| Lead Product Manager | 2 | 3.1% |
| Assistant Program Manager | 1 | 2.9% |
| Business Intelligence Manager | 2 | 2.2% |
| Data Analytics Manager | 3 | 2.1% |
| Data Product Manager | 2 | 2.1% |
| BI Engineer | 1 | 2.0% |
Roles with the most data quality assurance postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Analyst | 41 | 21.1% |
| Data Engineer | 25 | 12.9% |
| Data Quality Assurance Analyst | 13 | 6.7% |
| Data Scientist | 11 | 5.7% |
| Product Manager | 6 | 3.1% |
| Safety Model Data Quality Assurance Analyst | 6 | 3.1% |
| Business Intelligence Engineer | 3 | 1.5% |
| Data Analytics Manager | 3 | 1.5% |
| Data Engineering Manager | 3 | 1.5% |
| Product Analyst | 3 | 1.5% |
Top companies posting jobs requiring data quality assurance
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| TikTok | 19 |
| Vanguard | 5 |
| MSD | 5 |
| NielsenIQ | 4 |
| OpenBrain | 4 |
| Accenture | 4 |
| PwC | 3 |
| KIPP Public Schools | 3 |
| FedWriters | 2 |
| OpenAI | 2 |
Job postings indexed over the past 90 days, grouped by resolved employer. Counts are postings, not hires. Companies without a published page appear without a link.
Top metros hiring for data quality assurance
| Name | Postings | Share |
|---|---|---|
| Bucharest | 18 | 9.3% |
| New York City | 8 | 4.1% |
| Hyderabad | 6 | 3.1% |
| Toronto | 4 | 2.1% |
| Austin | 3 | 1.5% |
| Knoxville | 3 | 1.5% |
| London | 3 | 1.5% |
| San Francisco | 3 | 1.5% |
| Singapore | 3 | 1.5% |
Skills commonly paired with data quality assurance
Explore related pages
How this was computed
Weekly job-count charts omit the incomplete current week (weeks start Monday, UTC). Totals include all postings in the stated window. Counts derive from the Skillenai jobs index over the 90 days ending 2026-10-30. 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 quality assurance by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data quality assurance postings by all data quality assurance 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). Adjusted posting share: 0.1% to 0.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,482 identified employers and covers 71% of earlier and 70% of latest indexed postings. Windows: 2026-06-30 to 2026-09-28 and 2026-07-28 to 2026-10-26 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 6623d3ae5717316f
- data_as_of
- 2026-10-30
- window_days
- 90