Mongodb / demand · pay · the work
The Mongodb Job Market — 2026-06
The demand signal
Share of all tech postings that ask for Mongodb — coverage-normalised, so it reflects real demand, not how much we'd indexed each month.
Mongodb’s market share is shrinking, now at 0.16%, reflecting a shift towards more mature infrastructure solutions.
What’s really happening
Mongodb’s share of the job market is shrinking, currently sitting at 0.16%, down by 31.7% over the last three months. This decline in market share suggests a shift towards more mature and possibly commoditised infrastructure solutions. While the absolute number of job postings (393 in the latest month) has decreased, this mirrors our platform’s coverage rather than a real drop in demand. The trend indicates that Mongodb is becoming a less dominant player, possibly due to the increasing consolidation around other database technologies or the integration of Mongodb into broader, more complex data stacks.
Who’s hiring, and for what roles
The demand for Mongodb is spread across a diverse array of employers, with companies like Mongodb itself, Fundraiseup, and Ciandt being the top hirers. This suggests that the skill is not concentrated in a single industry or role family. Interestingly, the market is heavily tilted towards mid-level roles, with 232 out of 234 postings being for mid/unspecified seniority and only 2 for senior/lead roles. This indicates that Mongodb is being utilised as a core component in existing systems rather than driving new, senior-led projects.
What you’ll actually do
Job postings reveal that Mongodb professionals are often involved in designing, developing, and maintaining scalable and reliable backend systems. Responsibilities frequently include working on data platforms, authentication frameworks, and real-time data processing. Despite the absence of explicit role titles, the postings suggest a strong focus on platform engineering and integration roles. Interestingly, technologies such as AWS, Docker, and Kubernetes are frequently mentioned alongside Mongodb, indicating their importance in the current tech stack. These tools are becoming table-stakes in the industry, highlighting the need for a multi-skill approach.
Where the work is
The United States leads the market with 36 job postings, followed by India and Germany. This geographic distribution shows a significant presence in both North America and Europe, with emerging markets like Brazil also featuring prominently. With a 45% remote work share, the Mongodb market is quite remote-friendly, allowing professionals to work from diverse locations and possibly contributing to the global spread of job opportunities.
What it pays
The median salary for Mongodb roles is €108,118, with the 25th percentile at €64,200 and the 75th percentile at €147,200. Skills like PostgreSQL and AWS can elevate earnings significantly—pairing with PostgreSQL, for instance, lifts the median to €137,280, well above the overall median. However, pairing with MySQL does not offer a premium, suggesting it’s a common but not particularly lucrative combination. There is a notable pay gap between onsite (€139,662) and remote roles (€96,600), indicating a potential premium for onsite work.
The connections — what comes bundled with it
Mongodb is frequently paired with skills like Java, Kubernetes, AWS, and Docker. This combination reveals that Mongodb is often part of a larger, cloud-native tech stack, suggesting that professionals are expected to manage complex, distributed systems. The presence of microservices and containerisation tools like Docker indicates that Mongodb is used in modern, scalable application architectures.
Is AI reshaping this field?
With only 7% of Mongodb postings requiring AI/ML skills, it appears that AI is not significantly reshaping this field. This limited AI adjacency suggests that Mongodb remains primarily a part of traditional data management and application development stacks, rather than being pulled into the AI orbit. For now, AI exposure remains modest, and professionals focusing on Mongodb may not need to prioritise AI skills.
What to study
For newcomers, focusing on mastering Java, Kubernetes, AWS, and Docker will be essential, as these are the most frequently co-occurring skills with Mongodb. Mid-level roles are the most accessible entry point. For experienced professionals, adding PostgreSQL to your skill set can significantly increase your earning potential, with a median salary of €137,280, about €29,162 above the overall median. While AI skills are not currently a premium factor, staying updated with cloud technologies remains crucial.
Outlook
The shrinking share of Mongodb in the job market suggests a maturing technology that is becoming a standard part of the infrastructure stack rather than a cutting-edge tool. While demand is not vanishing, it is evolving—integrated into broader systems and requiring a comprehensive knowledge of associated technologies like Kubernetes and AWS. Job seekers should focus on these adjacent skills to stay competitive. The remote-friendly nature of the market provides flexibility, but professionals should be aware of the salary disparities between remote and onsite roles.
Key takeaways
- Mongodb’s market share is shrinking, now at 0.16%, indicating a shift towards mature infrastructure solutions.
- Focus on mastering Kubernetes, AWS, and Docker alongside Mongodb to remain competitive.
- Mid-level roles dominate the Mongodb market, making it an accessible entry point for newcomers.
- Pairing Mongodb with PostgreSQL can significantly boost your salary, offering a median of €137,280.
- Remote work is prevalent, but onsite roles offer a substantial salary premium.
By the numbers
Top hiring companies
Who's posting the most right now.
Which roles ask for it
The job titles Mongodb shows up in.
The stack around it
Skills most often demanded alongside it.
Where the work is
Active postings by country.
What it pays
Distribution of yearly salaries (€).
Work modality
Remote, hybrid or on-site.