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

As of 2026-09-30, NoSQL appears in 4,694 job postings indexed by Skillenai over the past 90 days — Software Engineer has the most postings mentioning NoSQL, with demand share down 3.8% vs the prior 4 weeks.

Last updated · 90d ending 2026-09-30

Postings · last 90 days
4,694
Demand vs prior month
down 3.8% vs the prior 4 weeks
Top role · 39.6% of skill postings
Top hiring metro
Bengaluru

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Frequently asked questions about NoSQL

+Is NoSQL in demand in 2026?

Yes. NoSQL appears in 4,694 job postings indexed by Skillenai over the 90 days ending 2026-09-30. Software Engineer accounts for the most postings mentioning NoSQL (39.6% of all postings mentioning NoSQL).

+What jobs require NoSQL?

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 NoSQL are Full-stack Software Engineer (82.7% of that role’s postings mention NoSQL), Mobile Application Developer (77.6% of that role’s postings mention NoSQL), Android Software Engineer (58.2% of that role’s postings mention NoSQL).

+What skills are commonly paired with NoSQL?

Across job postings indexed by Skillenai (90 days ending 2026-09-30), NoSQL most often appears alongside SQL, Python, Java, AWS, Kubernetes.

+Where is NoSQL most in demand?

As of 2026-09-30, the metro areas posting the most jobs requiring NoSQL are Bengaluru, New York City, McLean, Hyderabad, London, according to the Skillenai jobs index.

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

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

+Which skills come before and after NoSQL?

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 NoSQL — last 90 days

Salary distribution

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

Career paths around NoSQL

Skills documented before and after this skill across employer changes.

Historical career profiles · all locations

Skills before NoSQL

Before NoSQLpython → NoSQL: 40 observed employer moves with this skill pairsql → NoSQL: 23 observed employer moves with this skill pairJava → NoSQL: 19 observed employer moves with this skill pairci/cd → NoSQL: 15 observed employer moves with this skill pairJavaScript → NoSQL: 14 observed employer moves with this skill pairPostgreSQL → NoSQL: 13 observed employer moves with this skill pairdocker → NoSQL: 13 observed employer moves with this skill pairJenkins → NoSQL: 13 observed employer moves with this skill pairNoSQLpython: 40 movespython40 movessql: 23 movessql23 movesJava: 19 movesJava19 movesci/cd: 15 movesci/cd15 movesJavaScript: 14 movesJavaScript14 movesPostgreSQL: 13 movesPostgreSQL13 movesdocker: 13 movesdocker13 movesJenkins: 13 movesJenkins13 moves

Skills after NoSQL

After NoSQLNoSQL → python: 22 observed employer moves with this skill pairNoSQL → docker: 12 observed employer moves with this skill pairNoSQL → Jenkins: 12 observed employer moves with this skill pairNoSQL → Tableau: 11 observed employer moves with this skill pairNoSQL → Power BI: 10 observed employer moves with this skill pairNoSQL → kubernetes: 10 observed employer moves with this skill pairNoSQL → S3: 9 observed employer moves with this skill pairNoSQL → sql: 9 observed employer moves with this skill pairNoSQLpython: 22 movespython22 movesdocker: 12 movesdocker12 movesJenkins: 12 movesJenkins12 movesTableau: 11 movesTableau11 movesPower BI: 10 movesPower BI10 moveskubernetes: 10 moveskubernetes10 movesS3: 9 movesS39 movessql: 9 movessql9 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: python40
Before: sql23
Before: Java19
Before: ci/cd15
Before: JavaScript14
Before: PostgreSQL13
Before: docker13
Before: Jenkins13
After: python22
After: docker12
After: Jenkins12
After: Tableau11
After: Power BI10
After: kubernetes10
After: S39
After: sql9

Roles most likely to require NoSQL

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

RolePostings mentioning skill% of role postings mentioning skill
Full-stack Software Engineer11082.7%
Mobile Application Developer3877.6%
Android Software Engineer11058.2%
iOS Software Engineer7658.0%
Full-stack Engineer4146.1%
Integrations Engineer725.0%
Advanced Analytics Lead521.7%
Mobile Software Engineer1417.7%
Mobile Developer2515.6%
Back-end Engineer1115.1%

Roles with the most NoSQL postings

RolePostings mentioning skillShare of skill postings
Software Engineer1,86039.6%
Data Engineer2535.4%
Backend Engineer2114.5%
Full Stack Engineer1312.8%
Android Software Engineer1102.3%
Full-stack Software Engineer1102.3%
Data Scientist811.7%
Full Stack Software Engineer801.7%
iOS Software Engineer761.6%
Backend Software Engineer551.2%

Top companies posting jobs requiring NoSQL

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

Top companies posting jobs requiring NoSQL
CompanyPostings · 90 days
Capital One489
Bjakcareer400
eBay51
Barclays42
Wise36
Grab29
JPMorgan Chase & Co.27
Databricks26
Mastercard26
Cisco25

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 NoSQL

NamePostingsShare
Bengaluru1793.8%
New York City942.0%
McLean932.0%
Hyderabad751.6%
London731.6%
Pune631.3%
Singapore611.3%
Toronto581.2%
Plano551.2%

Skills commonly paired with NoSQL

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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 NoSQL by all postings for each role in the same window, ranking roles with at least 20 postings. Role distribution divides each role’s NoSQL postings by all NoSQL 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). Adjusted posting share: 2.1% to 2.1%. Demand share change is the relative percentage change between these adjusted shares. Each employer-and-ATS group has at least 10 postings in each 90-day window; its earlier posting count supplies the same weight in both windows. The panel includes 2,596 identified employers and covers 68% of earlier and 72% of latest indexed postings. Windows: 2026-06-02 to 2026-08-31 and 2026-06-30 to 2026-09-28 (UTC; end dates excluded). The windows overlap by 62 days. Dates reflect indexing, not the employer’s posting date. This measures posting mix, not total hiring or market-wide demand. Matching excludes entrants and exits; changes in crawl completeness within an employer or ATS can still affect the result.

source
Skillenai jobs index, deduplicated daily
entity_id
48f338a69bdddbfb
data_as_of
2026-09-30
window_days
90
Hiring engineers who use NoSQL?

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