Skillenai

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

As of 2026-11-05, RDBMS appears in 1,172 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning RDBMS.

Last updated · 90d ending 2026-11-05

Postings · last 90 days
1,172
Top role · 35.9% of skill postings
Software Engineer
Top hiring metro
McLean

Which roles want RDBMS?

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Frequently asked questions about RDBMS

+Is RDBMS in demand in 2026?

Yes. RDBMS appears in 1,172 job postings indexed by Skillenai over the 90 days ending 2026-11-05. Software Engineer accounts for the most postings mentioning RDBMS (35.9% of all postings mentioning RDBMS).

+What jobs require RDBMS?

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 RDBMS are Full-stack Software Engineer (82.5% of that role’s postings mention RDBMS), Full-stack Engineer (54.1% of that role’s postings mention RDBMS), Software Engineer (Backend) (14.3% of that role’s postings mention RDBMS).

+What skills are commonly paired with RDBMS?

Across job postings indexed by Skillenai (90 days ending 2026-11-05), RDBMS most often appears alongside Java, Python, NoSQL, AWS, Kubernetes.

+Where is RDBMS most in demand?

As of 2026-11-05, the metro areas posting the most jobs requiring RDBMS are McLean, Plano, New York City, Pune, 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

Before RDBMSpython → RDBMS: 18 observed employer moves with this skill pairETL → RDBMS: 7 observed employer moves with this skill pairKafka → RDBMS: 6 observed employer moves with this skill pairspark → RDBMS: 5 observed employer moves with this skill pairHive → RDBMS: 5 observed employer moves with this skill pairAWS → RDBMS: 5 observed employer moves with this skill pairJenkins → RDBMS: 5 observed employer moves with this skill pairci/cd → RDBMS: 4 observed employer moves with this skill pairRDBMSpython: 18 movespython18 movesETL: 7 movesETL7 movesKafka: 6 movesKafka6 movesspark: 5 movesspark5 movesHive: 5 movesHive5 movesAWS: 5 movesAWS5 movesJenkins: 5 movesJenkins5 movesci/cd: 4 movesci/cd4 moves

Skills after RDBMS

After RDBMSRDBMS → Kafka: 9 observed employer moves with this skill pairRDBMS → sql: 6 observed employer moves with this skill pairRDBMS → spark: 6 observed employer moves with this skill pairRDBMS → oracle: 6 observed employer moves with this skill pairRDBMS → Jenkins: 6 observed employer moves with this skill pairRDBMS → kubernetes: 5 observed employer moves with this skill pairRDBMS → Teradata: 5 observed employer moves with this skill pairRDBMS → Java: 5 observed employer moves with this skill pairRDBMSKafka: 9 movesKafka9 movessql: 6 movessql6 movesspark: 6 movesspark6 movesoracle: 6 movesoracle6 movesJenkins: 6 movesJenkins6 moveskubernetes: 5 moveskubernetes5 movesTeradata: 5 movesTeradata5 movesJava: 5 movesJava5 moves
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.

Observed connections and move counts
ConnectionMoves
Before: python18
Before: ETL7
Before: Kafka6
Before: spark5
Before: Hive5
Before: AWS5
Before: Jenkins5
Before: ci/cd4
After: Kafka9
After: sql6
After: spark6
After: oracle6
After: Jenkins6
After: kubernetes5
After: Teradata5
After: Java5

Roles most likely to require RDBMS

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

RolePostings mentioning skill% of role postings mentioning skill
Full-stack Software Engineer14682.5%
Full-stack Engineer8054.1%
Software Engineer (Backend)714.3%
Full Stack Software Engineer426.6%
DevOps Manager26.2%
Big Data Engineer25.1%
Engagement Manager34.8%
AI Automation Specialist14.8%
Quantitative Risk Analyst14.8%
Full-Stack Engineer314.5%

Roles with the most RDBMS postings

RolePostings mentioning skillShare of skill postings
Software Engineer42135.9%
Full-stack Software Engineer14612.5%
Full-stack Engineer806.8%
Full Stack Engineer625.3%
Full Stack Software Engineer423.6%
Data Engineer403.4%
Full-Stack Engineer312.6%
Backend Engineer252.1%
Solutions Architect181.5%
Database Administrator110.9%

Top companies posting jobs requiring RDBMS

Employers ranked by indexed job postings in the last 90 days.

Top companies posting jobs requiring RDBMS
CompanyPostings · 90 days
Capital One559
Mastercard27
Endeavor IT Solutions Pvt.Ltd.18
JDA16
Avaloq10
Wissen Technology9
Freshworks9
Wibmo9
Yubi8
Grab8

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

NamePostingsShare
McLean978.3%
Plano554.7%
New York City423.6%
Pune373.2%
Bengaluru312.6%
Chicago282.4%
Richmond282.4%
Toronto131.1%
Singapore110.9%

Skills commonly paired with RDBMS

Java (839)Python (777)NoSQL (768)AWS (737)Kubernetes (668)Docker (632)JavaScript (603)Go (571)TypeScript (559)CI/CD (468)

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 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
2026-11-05
window_days
90
Compiled by Jared Rand · Data sourced from the Skillenai labor market index