MongoDB: market
MongoDB is the most widespread document NoSQL database: flexible schema, JSON-like documents, horizontal scaling and the Atlas cloud service. We track 2 064 open positions listing MongoDB, 1 972 of them fresh. It is most often required of backend and fullstack developers on Node.js, Python and Java, frequently alongside a relational database. Most of the demand comes from Backend, Fullstack and DevOps roles. It most often appears next to AWS, Java and PostgreSQL. 33% of the postings allow fully remote work. Below is measured MongoDB demand.
The MongoDB market currently has 2,064 open roles, 1,972 of them freshly observed. Median salary $8,148/mo. Observed candidate pool — 1,156.
33% of MongoDB postings allow fully remote work; the share counts only postings that state the work format.
⚠ salary known for 123 of 2064 jobs; remote share from 1632 with a stated format; 1972 counted as fresh observations; trend and hiring difficulty are not shown
Demand and observed supply
| Open demand | 2,064 |
| Observed supply | 1,156 |
⚠ candidates matching a vacancy are not counted yet: demand and the observed pool are shown
Salary distribution
One in ten earns under $3,953, one in ten over $19,166. Half the market falls between $5,389 and $13,333. Sample: 123.
The range histogram for MongoDB postings uses only postings with an explicit compensation range; the median is computed over the same sample.
Demand geography
| country | jobs |
|---|---|
| US | 347 |
| PL | 308 |
| IN | 210 |
| RU | 89 |
| GB | 76 |
| SG | 52 |
| DE | 52 |
| CA | 46 |
| HK | 42 |
| BR | 37 |
The top country for MongoDB demand is the US (347 positions).
⚠ job counts only: salary by country is not published
Used together with
MongoDB most often appears next to AWS, Java and PostgreSQL. PostgreSQL among the neighbours — many systems run both a document and a relational database.
Roles that use it
| role | jobs |
|---|---|
| Backend | 548 |
| Fullstack | 415 |
| DevOps | 286 |
| Data | 168 |
| Architect | 129 |
| Frontend | 83 |
| QA | 38 |
| AI Engineer | 36 |
| ML/AI | 34 |
| SRE | 29 |
⚠ the `Other` and `IT` buckets are excluded as non-roles
Demand by grade
| grade | jobs |
|---|---|
| senior | 690 |
| principal | 123 |
| lead | 117 |
| middle | 115 |
| junior | 71 |
Senior-and-above is about 83% of 1 116 graded MongoDB postings.
⚠ demand side only: the grade of the observed pool is unknown for most of it
Employers
Demand is spread across 1,010 employers. The largest accounts for 7.6%, the top ten for 17.9%; the remaining 82.1% is long tail.
| share | value |
|---|---|
| top-1 | 7.6% |
| top-3 | 11.1% |
| top-10 | 17.9% |
| long tail | 82.1% |
⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier
Where Zorky sees this market
Observed across 115 sources; the largest accounts for 26.1% — this market does not rest on a single channel.
MongoDB postings arrive mostly from ATS & career sites and job boards & aggregators.
Recent openings
- Java Engineer (DevOps Focus) · PL · $4,125
- Staff Software Developer · US
- Senior Site Reliability Engineer (H/F)
- Tech Lead SRE (H/F)
- Technical Domain Manager - Payments Platform (H/F)
- Site Reliability Engineer (H/F)
- Reliability Engineer II · IN
- Contract Analyst Programmers (C41084) - AWS, GCP, Oracle, PostgresSQL, MongoDB · HK
Adjacent markets
⚠ adjacent markets for comparison are not defined yet
How this is measured
- Vacancy
- an open job that cleared the quality gate and lists at least two technologies
- Observed candidate
- a candidate whose stack contains this technology; an aggregate — not a single record leaves the perimeter
- Matchable candidate
- not counted yet
- Window
- jobs open at the moment the snapshot was built
About the data
- Some breakdowns are hidden: their data coverage is not yet sufficient.
- Statistics are shown only where the sample clears a quality gate.
- A missing block does not mean a value of zero.
Breakdowns currently hidden: 7.
Data as of 2026-10-22
Frequently asked questions
Common questions about the MongoDB market — short answers from the same data slice.
When do postings choose MongoDB over a relational database?
When the data structure changes often, documents are naturally nested (catalogs, profiles, events) and load must scale horizontally. For strict transactional relations PostgreSQL usually stays.
What is asked about MongoDB in interviews?
Document modeling (embedding versus references), indexes and explain, the aggregation pipeline, replica sets and sharding, transactions and consistency levels.
How big is MongoDB demand?
The slice tracks 2 064 open MongoDB positions; it is almost always a developer skill rather than a dedicated administrator role.