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

As of 2026-09-30, databases appears in 2,710 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning databases.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
2,710
Top role · 26.7% of skill postings
Top hiring metro
San Francisco

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Frequently asked questions about databases

+Is databases in demand in 2026?

Yes. databases appears in 2,710 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning databases (26.7% of all postings mentioning databases).

+What jobs require databases?

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 databases are Technical Product Lead (97.2% of that role’s postings mention databases), Lead Engineer (41.1% of that role’s postings mention databases), Technical Product Manager (22.2% of that role’s postings mention databases).

+What skills are commonly paired with databases?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), databases most often appears alongside APIs, Distributed systems, security, Python, machine learning.

+Where is databases most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring databases are San Francisco, New York City, Singapore, Tokyo, Hong Kong, according to the Skillenai jobs index.

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

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

+Which skills come before and after databases?

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 databases — last 90 days

Salary distribution

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

Career paths around databases

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before databases

Before databasespython → databases: 23 observed employer moves with this skill pairsql → databases: 17 observed employer moves with this skill pairJavaScript → databases: 17 observed employer moves with this skill pairHTML → databases: 14 observed employer moves with this skill pairCSS → databases: 12 observed employer moves with this skill pairExcel → databases: 12 observed employer moves with this skill pairJava → databases: 12 observed employer moves with this skill pairAWS → databases: 10 observed employer moves with this skill pairdatabasespython: 23 movespython23 movessql: 17 movessql17 movesJavaScript: 17 movesJavaScript17 movesHTML: 14 movesHTML14 movesCSS: 12 movesCSS12 movesExcel: 12 movesExcel12 movesJava: 12 movesJava12 movesAWS: 10 movesAWS10 moves

Skills after databases

After databasesdatabases → python: 19 observed employer moves with this skill pairdatabases → sql: 17 observed employer moves with this skill pairdatabases → AWS: 10 observed employer moves with this skill pairdatabases → JavaScript: 10 observed employer moves with this skill pairdatabases → C#: 9 observed employer moves with this skill pairdatabases → Java: 9 observed employer moves with this skill pairdatabases → Power BI: 7 observed employer moves with this skill pairdatabases → Kafka: 6 observed employer moves with this skill pairdatabasespython: 19 movespython19 movessql: 17 movessql17 movesAWS: 10 movesAWS10 movesJavaScript: 10 movesJavaScript10 movesC#: 9 movesC#9 movesJava: 9 movesJava9 movesPower BI: 7 movesPower BI7 movesKafka: 6 movesKafka6 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: python23
Before: sql17
Before: JavaScript17
Before: HTML14
Before: CSS12
Before: Excel12
Before: Java12
Before: AWS10
After: python19
After: sql17
After: AWS10
After: JavaScript10
After: C#9
After: Java9
After: Power BI7
After: Kafka6

Roles most likely to require databases

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

RolePostings mentioning skill% of role postings mentioning skill
Technical Product Lead27597.2%
Lead Engineer3041.1%
Technical Product Manager22522.2%
Infrastructure Software Engineer617.1%
Enterprise Solution Architect313.6%
AI Ops Engineer313.0%
Data Engineer Intern39.7%
Backend Software Engineer569.6%
Data Analytics Specialist39.4%
Systems/Software Engineer28.7%

Roles with the most databases postings

RolePostings mentioning skillShare of skill postings
Software Engineer72326.7%
Technical Product Lead27510.1%
Technical Product Manager2258.3%
Engineering Manager1053.9%
Backend Engineer642.4%
Backend Software Engineer562.1%
Full Stack Software Engineer521.9%
Site Reliability Engineer421.5%
Full Stack Engineer411.5%
Lead Engineer301.1%

Top companies posting jobs requiring databases

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

Top companies posting jobs requiring databases
CompanyPostings · 90 days
Bjakcareer844
Cisco46
Grab32
Nimble Storage22
CLERA21
SpaceX18
Stripe17
Databricks15
Workato15
Verkada14

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 databases

NamePostingsShare
San Francisco933.4%
New York City823.0%
Singapore752.8%
Tokyo521.9%
Hong Kong481.8%
Seoul461.7%
Taipei431.6%
Sydney401.5%
Bengaluru381.4%

Skills commonly paired with databases

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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 databases by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s databases postings by all databases 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
d5b4c49b32b6dc2c
data_as_of
2026-09-30
window_days
90
Hiring engineers who use 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.

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