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Data Warehouses & Lakehouses
Data Transformation & Orchestration
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Growth
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Overview
dbt Labs is the company behind dbt, the leading analytics engineering platform that enables data teams to transform, test, and document data directly in the warehouse using software engineering best practices. Trusted by thousands of organizations, dbt helps analysts and data engineers build reliable, version-controlled data models that power analytics, reporting, and decision-making. By bringing modularity, testing, and collaboration to the analytics workflow, dbt Labs makes data more trustworthy, scalable, and easier to work with across the entire organization.
News
Newly Merged Dbt Labs And Fivetran Ready Channel Plans For AI Data Push
Dbt Labs and Fivetran have completed their merger and are combining their data transformation and data integration technologies to compete in the AI data infrastructure market.
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Fivetran and dbt are one company now. Here's what that means.
Fivetran and dbt Labs have merged. Learn how this creates open, governed data infrastructure built for AI agents.
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I built a (very small) long running agent
What do long running agents mean for data teams?
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SQL, Typescript, and Agents
How SQL's Typescript moment will help agents just as much as it'll help humans.
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Fivetran and dbt Labs Unite to Set the Standard for Open Data Infrastructure
Together, Fivetran and dbt are simplifying enterprise data management with a unified foundation that powers analytics and AI at scale.
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Report: Fivetran in talks with dbt Labs over multibillion-dollar big-data merger
Report: Fivetran in talks with dbt Labs over multibillion-dollar big-data merger - SiliconANGLE
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Fusion and the dbt VS Code extension are now in Preview for local development
Get lightning-fast, next-gen development for your local environment
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Engine Overhaul: dbt Labs Adds New Fusion Engine, AI-Powered Features To Its Data Development Platform
Dbt Labs unveiled the new Fusion engine for its data development and transformation platform, including new SQL comprehension capabilities and an MCP server.
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Tech stack
Technologies named in job postings at dbt Labs over the last 12 months, by layer, with the share of postings for each.
Technologies in use
38
Postings analysed
7
Stack modernity
86/100AI adopter
Languages
Python
Go
SQL
C++
Frameworks & libraries
React.js
Databases
Amazon Redshift
Google BigQuery
Snowflake
PostgreSQL
Cloud & platforms
Kubernetes
AWS
Azure
GCP
AI & ML
Claude
LLM
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Full dbt Labs tech stack
38 technologies · by team · pay by technology · changes · similar stacks
Growth
Hiring Momentum
53/100
Stable
Open positions
4
0 opened / 2 closed in 30 days
Median time-to-fill
60 days
faster than 23% of the market
Hiring Dynamics
+100%
Hiring Focus
The percentage next to each role is its share of the company's job openings over the last 90 days; the arrow shows the shift versus the previous period.
Backend
86% ▲
DevOps
14% ▼
Activity Timeline
Added Platform Engineering to stack
Sep 2026
Added OpenTofu to stack
Sep 2026
Added IAM to stack
Sep 2026
Added TypeScript to stack
Sep 2026
Added Rust to stack
Sep 2026
Added React.js to stack
Sep 2026
Added PostgreSQL to stack
Sep 2026
Added OpenAI Codex to stack
Sep 2026
Added Model Context Protocol to stack
Sep 2026
Added LLM to stack
Sep 2026
Added JavaScript to stack
Sep 2026
Added Claude to stack
Sep 2026
Offices
Where the company hires and what each office is for
Cities
1
Hiring now
1
Countries
1
Busiest office
Bengaluru
Bengaluru
India
Engineering / R&D
7 open roles 7 posted in 90 days 100% engineering 200-500 est. staff
hires for Backend, DevOps
Jobs
≈ $31k – $82k per year (Estimated) • In office • Bengaluru
Python
Go
Terraform
GCP
OpenTofu
Azure
AWS
Kubernetes
Platform Engineering
IAM
Apply
≈ $31k – $82k per year (Estimated) • In office • 10+ years exp • Bengaluru
Python
Go
Terraform
GCP
Helm
CloudFormation
Datadog
Azure
CI/CD
ArgoCD
AWS
Kubernetes
Apply
≈ $31k – $82k per year (Estimated) • In office • 8+ years exp • Bengaluru
Python
Go
JavaScript
Rust
TypeScript
SQL
PostgreSQL
Snowflake
Databricks
Google BigQuery
Amazon Redshift
BigQuery
AI/ML
Claude
Model Context Protocol
dbt
LLM
OpenAI Codex
Frontend
React.js
DevOps
Kubernetes
Apply
≈ $20k – $42k per year (Estimated) • In office • Bengaluru
Python
Go
Terraform
GCP
Helm
CloudFormation
Datadog
Azure
CI/CD
ArgoCD
AWS
Kubernetes
Apply
Financials
Total raised
$222M
Latest round
Series D
Funding rounds
1
Funding rounds
| Round | Announced | Amount | Valuation | |
|---|---|---|---|---|
| Series D | 2022 | $222M | $4.2B | Details |
