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

As of 2026-09-07, Relational databases appears in 3,280 job postings indexed by Skillenai over the past 90 days — most often required for Software Engineer roles, with demand up 14% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-07

Postings · last 90 days
3,280
Demand vs prior month
up 14% vs the prior 4 weeks
Top job title · 41% require it
Top hiring metro
London

Which roles want Relational databases?

Upload your resume and Skillenai will show which roles your Relational databases experience fits, which skills you already cover, and what is missing.

Want to actually learn Relational databases?

Browse mentors on the Skillenai Learning Marketplace who list Relational databases — learn it from someone who uses it, or trade a skill you already have.

Find a Relational databases mentor →No account needed to browse.

Frequently asked questions about Relational databases

+Is Relational databases in demand in 2026?

Yes. Relational databases appears in 3,280 job postings indexed by Skillenai over the 90 days ending 2026-09-07, with demand up 14% vs the prior 4 weeks. It is most often required for Software Engineer roles (41% of Software Engineer postings list it).

+What jobs require Relational databases?

According to the Skillenai jobs index over the 90 days ending 2026-09-07, the job titles most likely to require Relational databases are Software Engineer (41% of postings list Relational databases), Backend Engineer (6% of postings list Relational databases), Data Engineer (5% of postings list Relational databases).

+What skills are commonly paired with Relational databases?

Across job postings indexed by Skillenai (90 days ending 2026-09-07), Relational databases most often appears alongside Python, Java, AWS, SQL, CI/CD.

+Where is Relational databases most in demand?

As of 2026-09-07, the metro areas posting the most jobs requiring Relational databases are London, New York City, San Francisco, Toronto, Bengaluru, according to the Skillenai jobs index.

+How can I keep up with new Relational databases content and jobs?

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

Weekly job postings requiring Relational databases — last 90 days

Salary distribution

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

Job titles most likely to require Relational databases

RolePostings mentioning% requiring
Software Engineer1,34541.0%
Backend Engineer1885.7%
Data Engineer1584.8%
Full Stack Engineer952.9%
Data Analyst762.3%
Data Scientist712.2%
Backend Software Engineer511.6%
Full Stack Software Engineer491.5%
Engineering Manager421.3%
Software Developer361.1%

Top metros hiring for Relational databases

NamePostingsShare
London1484.5%
New York City1153.5%
San Francisco802.4%
Toronto712.2%
Bengaluru581.8%
Austin351.1%
Mountain View351.1%
Tel Aviv331.0%
Berlin321.0%

Skills commonly paired with Relational databases

Get a daily email digest of new Relational databases content

Skillenai indexes news articles, blog posts, and research papers that mention Relational databases. Click below and we'll open a pre-filled daily digest — change the cadence to hourly or weekly if you prefer, then save. Free account required (~30 seconds).

Explore related pages

How this was computed

Counts derive from the Skillenai jobs index over the 90 days ending 2026-09-07. Skills are resolved against the Skillenai canonical taxonomy, so the same entity is counted whether a posting writes 'Python', 'Python 3', or 'python'. Pages refresh weekly (or daily for the top-50 most-requested skills).

source
Skillenai jobs index, deduplicated daily
entity_id
223af936914194a1
data_as_of
2026-09-07
window_days
90
Hiring engineers who use Relational databases?

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.

Skillenai for recruiters →
Compiled by Jared Rand · Data sourced from the Skillenai labor market index