data reliability jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-11-05, data reliability appears in 104 job postings indexed by Skillenai over the past 90 days — Data Engineer has the most postings mentioning data reliability.
Last updated · 90d ending 2026-11-05
Which roles want data reliability?
Upload your resume and Skillenai will show which roles your data reliability experience fits, which skills you already cover, and what is missing.
Frequently asked questions about data reliability
+Is data reliability in demand in 2026?
Yes. data reliability appears in 104 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Data Engineer accounts for the most postings mentioning data reliability (24.0% of all postings mentioning data reliability).
+What jobs require data reliability?
According to the Skillenai jobs index over the 90 days ending 2026-11-05, among roles with at least 20 postings, the highest shares mentioning data reliability are DataOps Engineer (4.3% of that role’s postings mention data reliability), AI Data Engineer (3.4% of that role’s postings mention data reliability), Lead Product Manager (3.2% of that role’s postings mention data reliability).
+What skills are commonly paired with data reliability?
Across job postings indexed by Skillenai (90 days ending 2026-11-05), data reliability most often appears alongside data quality, SQL, data pipelines, Python, data modeling.
+Where is data reliability most in demand?
As of 2026-11-05, the metro areas posting the most jobs requiring data reliability are Toronto, Los Angeles, Paris, Seattle, Barcelona, according to the Skillenai jobs index.
+How can I keep up with new data reliability content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning data reliability alongside the jobs index. You can subscribe to a daily email digest of new data reliability content from your Skillenai account.
+Which skills come before and after data reliability?
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 reliability — last 90 days
Career paths around data reliability
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before data reliability
Skills after data reliability
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: sql | 2 |
| Before: Tableau | 2 |
| Before: Data Visualization | 2 |
| Before: dashboards | 2 |
| Before: spark | 1 |
| Before: reporting transformations | 1 |
| Before: robot manipulation | 1 |
| Before: enriching | 1 |
| After: data profiling | 1 |
| After: standardized BI development | 1 |
| After: fraud monitoring | 1 |
| After: escalation protocols | 1 |
| After: data cleansing | 1 |
| After: WebSocket | 1 |
| After: AWS Glue | 1 |
| After: Power BI | 1 |
Roles most likely to require data reliability
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| DataOps Engineer | 1 | 4.3% |
| AI Data Engineer | 2 | 3.4% |
| Lead Product Manager | 2 | 3.2% |
| Operations Analyst | 1 | 2.3% |
| AI Engineering Manager | 1 | 1.1% |
| Data Product Manager | 1 | 1.0% |
| IT Business Analyst | 2 | 1.0% |
| Group Product Manager | 1 | 1.0% |
| Data Engineering Manager | 2 | 0.8% |
| Data Engineer | 25 | 0.4% |
Roles with the most data reliability postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Data Engineer | 25 | 24.0% |
| Product Manager | 12 | 11.5% |
| Data Analyst | 11 | 10.6% |
| Data Scientist | 10 | 9.6% |
| Software Engineer | 5 | 4.8% |
| AI Data Engineer | 2 | 1.9% |
| Analytics Engineer | 2 | 1.9% |
| Data Engineering Manager | 2 | 1.9% |
| IT Business Analyst | 2 | 1.9% |
| Lead Product Manager | 2 | 1.9% |
Top companies posting jobs requiring data reliability
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Mercury | 7 |
| NielsenIQ | 5 |
| Coalition | 2 |
| Salesforce | 2 |
| Eurofins | 2 |
| Buyers Edge Platform | 2 |
| Lighthouse | 2 |
| Nansen | 2 |
| 2 | |
| Ubisoft | 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 reliability
| Name | Postings | Share |
|---|---|---|
| Toronto | 4 | 3.8% |
| Los Angeles | 3 | 2.9% |
| Paris | 3 | 2.9% |
| Seattle | 3 | 2.9% |
| Barcelona | 2 | 1.9% |
| Lakes by the Bay | 2 | 1.9% |
| London | 2 | 1.9% |
| San Francisco | 2 | 1.9% |
| Singapore | 2 | 1.9% |
Skills commonly paired with data reliability
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 2026-11-05. 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 reliability by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s data reliability postings by all data reliability 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). An adjusted trend is not shown because comparable posting coverage is insufficient.
- source
- Skillenai jobs index, deduplicated daily
- entity_id
- 7f5f58dad26093a0
- data_as_of
- 2026-11-05
- window_days
- 90