MongoDB: market
MongoDB is the most widespread document NoSQL database: flexible schema, JSON-like documents, horizontal scaling and the Atlas cloud service. We track 2 078 open positions listing MongoDB, 1 986 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. 34% of the postings allow fully remote work. Below is measured MongoDB demand.
The MongoDB market currently has 2,078 open roles, 1,986 of them freshly observed. Median salary $8,125/mo. Observed candidate pool — 1,156.
34% of MongoDB postings allow fully remote work; the share counts only postings that state the work format.
⚠ salary known for 125 of 2078 jobs; remote share from 1644 with a stated format; 1986 counted as fresh observations; trend and hiring difficulty are not shown
Timeline: postings and sources
How many MongoDB postings appeared each week since 10 Aug, and from how many sources. The second line separates market growth from coverage growth: a jump in the week new sources were connected means we started seeing more, not that the market grew.
New postings and active sources per week
Sources over the period: 178
New sources connected: 17 Aug +14 · 24 Aug +25 · 31 Aug +16 · 7 Sept +19 · 14 Sept +7 · 21 Sept +30 · 28 Sept +14 · 5 Oct +8 · 12 Oct +12
Week = posting first-seen date, all statuses. A posting belongs to the technology by its stack tag; the series starts on 10 Aug 2026 — earlier tags were assigned differently and are not comparable. Sources are distinct collection channels; their names are not published.
Salaries over time
Median MongoDB salary per week, USD per month.
Median salary, USD per month
Only postings with a USD salary and a known period (month or year), $500–$50,000 per month. Weeks with fewer than 10 such postings are left blank — that means no data, not zero.
Remote work over time
Share of MongoDB postings offering fully remote work, per week.
Remote postings, %
The share is among postings that state a format (remote, hybrid, office). Weeks with fewer than 10 such postings are left blank.
Countries over time
How the share of MongoDB postings in each of the top countries changed, per week.
Postings in the country, %
Share among postings with a known country; the chart shows the five countries with the most postings over six months. Weeks with fewer than 20 postings with a known country are left blank. A rising share can mean a newly connected source in that country rather than market growth.
Demand and observed supply
| Open demand | 2,078 |
| 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 $3,849, one in ten over $19,166. Half the market falls between $5,389 and $12,983. Sample: 125.
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 | 311 |
| IN | 210 |
| RU | 93 |
| GB | 76 |
| SG | 52 |
| DE | 52 |
| CA | 45 |
| HK | 43 |
| 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 | 553 |
| Fullstack | 415 |
| DevOps | 288 |
| Data | 167 |
| Architect | 129 |
| Frontend | 83 |
| AI Engineer | 38 |
| QA | 38 |
| ML/AI | 35 |
| SRE | 29 |
⚠ the `Other` and `IT` buckets are excluded as non-roles
Demand by grade
| grade | jobs |
|---|---|
| senior | 695 |
| principal | 123 |
| lead | 121 |
| middle | 118 |
| junior | 74 |
Senior-and-above is about 83% of 1 131 graded MongoDB postings.
⚠ demand side only: the grade of the observed pool is unknown for most of it
Employers
Demand is spread across 1,019 employers. The largest accounts for 7.6%, the top ten for 17.8%; the remaining 82.2% is long tail.
| share | value |
|---|---|
| top-1 | 7.6% |
| top-3 | 11.0% |
| top-10 | 17.8% |
| long tail | 82.2% |
⚠ names are not shown: staffing agencies and end employers are not yet told apart by the classifier
Where Zorky sees this market
Observed across 116 sources; the largest accounts for 25.8% — this market does not rest on a single channel.
MongoDB postings arrive mostly from ATS & career sites and job boards & aggregators.
Recent openings
- Technical Support Engineer (English Speaker), Junior to Mid-level · TH
- Senior Infrastructure Engineer · PL · $5,588
- Инженер-программист C#, С++ · RU
- Системный администратор Linux · RU
- Principal Python + LangGraph Engineer · PL
- (Deputy/Assistant) Application Development Manager (Asia-Pacific Centre Project) · HK
- Solution Architect · NZ
- Senior Data Scientist H/F · MA
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 2 078 open MongoDB positions; it is almost always a developer skill rather than a dedicated administrator role.