RDBMS jobs in 2026 — demand, top roles hiring, and related skills
As of 2026-09-30, RDBMS appears in 935 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning RDBMS.
Last updated · 90d ending 2026-09-30
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Frequently asked questions about RDBMS
+Is RDBMS in demand in 2026?
Yes. RDBMS appears in 935 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning RDBMS (39.1% of all postings mentioning RDBMS).
+What jobs require RDBMS?
According to the Skillenai jobs index over the 90 days ending 2026-09-30, among roles with at least 20 postings, the highest shares mentioning RDBMS are Full-stack Software Engineer (82.0% of that role’s postings mention RDBMS), Full-stack Engineer (46.1% of that role’s postings mention RDBMS), Test Lead (18.2% of that role’s postings mention RDBMS).
+What skills are commonly paired with RDBMS?
Across job postings indexed by Skillenai (90 days ending 2026-09-30), RDBMS most often appears alongside Java, NoSQL, Python, AWS, Kubernetes.
+Where is RDBMS most in demand?
As of 2026-09-30, the metro areas posting the most jobs requiring RDBMS are McLean, Plano, New York City, Chicago, Bengaluru, according to the Skillenai jobs index.
+How can I keep up with new RDBMS content and jobs?
Skillenai indexes news, blog posts, and research papers mentioning RDBMS alongside the jobs index. You can subscribe to a daily email digest of new RDBMS content from your Skillenai account.
+Which skills come before and after RDBMS?
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 RDBMS — last 90 days
Salary distribution
Box = 25th–75th percentile · tick = median · whisker = 10th–90th · USD, annualized
Career paths around RDBMS
Skills documented before and after this skill across employer changes.
Historical career profiles · all locations
Skills before RDBMS
Skills after RDBMS
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: python | 16 |
| Before: ETL | 5 |
| Before: Jenkins | 5 |
| Before: spark | 4 |
| Before: Hive | 4 |
| Before: AWS | 4 |
| Before: Tableau | 4 |
| Before: HTML | 4 |
| After: Kafka | 9 |
| After: sql | 6 |
| After: oracle | 6 |
| After: spark | 6 |
| After: kubernetes | 5 |
| After: snowflake | 5 |
| After: Jenkins | 5 |
| After: terraform | 5 |
Roles most likely to require RDBMS
Among roles with at least 20 postings in the same period.
| Role | Postings mentioning skill | % of role postings mentioning skill |
|---|---|---|
| Full-stack Software Engineer | 109 | 82.0% |
| Full-stack Engineer | 41 | 46.1% |
| Test Lead | 4 | 18.2% |
| Engagement Manager | 6 | 12.0% |
| Back-End Developer | 2 | 10.0% |
| Software Engineer (Backend) | 8 | 9.8% |
| Technical Services Engineer | 3 | 9.7% |
| DevOps Manager | 2 | 6.9% |
| Full Stack Software Engineer | 44 | 6.3% |
| Java Backend Developer | 2 | 5.3% |
Roles with the most RDBMS postings
| Role | Postings mentioning skill | Share of skill postings |
|---|---|---|
| Software Engineer | 366 | 39.1% |
| Full-stack Software Engineer | 109 | 11.7% |
| Full Stack Software Engineer | 44 | 4.7% |
| Full-stack Engineer | 41 | 4.4% |
| Data Engineer | 40 | 4.3% |
| Full Stack Engineer | 39 | 4.2% |
| Full-Stack Engineer | 22 | 2.4% |
| Backend Engineer | 12 | 1.3% |
| Full-Stack Software Engineer | 10 | 1.1% |
| Database Administrator | 9 | 1.0% |
Top companies posting jobs requiring RDBMS
Employers ranked by indexed job postings in the last 90 days.
| Company | Postings · 90 days |
|---|---|
| Capital One | 449 |
| eBay | 13 |
| Mastercard | 11 |
| Wissen Technology | 11 |
| MongoDB | 11 |
| Avaloq | 9 |
| Esri | 9 |
| JDA | 9 |
| Freshworks | 8 |
| Wibmo | 8 |
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 RDBMS
| Name | Postings | Share |
|---|---|---|
| McLean | 84 | 9.0% |
| Plano | 47 | 5.0% |
| New York City | 35 | 3.7% |
| Chicago | 29 | 3.1% |
| Bengaluru | 24 | 2.6% |
| Richmond | 23 | 2.5% |
| Pune | 17 | 1.8% |
| Hyderabad | 14 | 1.5% |
| Toronto | 14 | 1.5% |
Skills commonly paired with RDBMS
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How this was computed
Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-30. 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 RDBMS by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s RDBMS postings by all RDBMS 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
- 85db4c64871e18b0
- data_as_of
- 2026-09-30
- window_days
- 90
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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