Skill report · Databases
Vector Databases: demand in job postings
Vector Databases is named in 3% of the 28,652 tech job postings Mettlespark read in the United States and Canada over the last 180 days (901 postings), most often for AI Engineer at 24%, Applied AI Engineer at 18% and MLOps Engineer at 10%. When a posting names it, 55% list it as required.
From 28,652 postings in the United States and Canada, April 23, 2026 to October 20, 2026. Updated October 20, 2026. How we count
- Postings naming it
- 9013% of all postings
- Required when named
- 55%rather than nice to have
- Senior level or above
- 68%of the postings naming it
- Time to learn
- about 15 hoursfrom zero to job-ready, Mettlespark's estimate
Over time
Its share of postings has risen about 1.9 points since October 2023, comparing like with like.
The roles that ask for it most
The share of each role's postings that name Vector Databases.
| Role | Share of the role's postings |
|---|---|
| AI Engineer | |
| Applied AI Engineer | |
| MLOps Engineer | |
| Machine Learning Engineer | |
| Forward Deployed Engineer | |
| Data Architect | |
| Data Engineer | |
| Full-Stack Engineer |
Often asked for alongside
The share of postings naming Vector Databases that also name each.
Industries
Where the postings naming it come from.
- Banking & Financial Services15%
- AI Research & Foundation Models9%
- Healthcare9%
- Enterprise Software & SaaS8%
Quick answers
Is Vector Databases in demand?
Vector Databases is named in 3% of tech job postings in the United States and Canada over the last 180 days, 901 postings, and required in 55% of those. Its share of postings has risen about 1.9 points since October 2023, comparing like with like.
Which jobs ask for Vector Databases?
AI Engineer, Applied AI Engineer, MLOps Engineer and Machine Learning Engineer postings name it most often: 24% of AI Engineer postings, 18% of Applied AI Engineer postings, 10% of MLOps Engineer postings.
What skills go with Vector Databases?
Postings that name Vector Databases most often also name LLMs, Python, RAG and Machine Learning.
How long does it take to learn Vector Databases?
About 15 hours from zero to job-ready, by Mettlespark's estimate; less with the prerequisites already in hand.