Hire dbt Developers
Hire pre-vetted dbt engineers from Latin America. dbt Core, dbt Cloud, data modeling, Snowflake, BigQuery. 7-day match SLA, top 1% vetted, 30–50% below US rates.
Top 1%
talent accepted
7 days
to first profiles
30–50%
below US rates
100%
timezone overlap
clients backed by







What is dbt and why do companies need dbt developers?
dbt has become the standard for SQL-based transformations in the modern data stack because it finally brought software engineering practices — version control, testing, documentation, CI/CD — to analytics work that was previously living in someone's personal SQL scripts. The real value is in the modeling layer: an experienced dbt engineer designs a project structure that scales, writes tests that actually catch data quality issues, and keeps metric definitions consistent across every downstream consumer. NeuronHire places dbt engineers from Latin America vetted on dbt Core, dbt Cloud, dimensional modeling, and integration with Snowflake, BigQuery, and Redshift. Placed in 7 days at 30–50% below US rates.
Built with dbt
What companies build with dbt
Building a reliable, tested transformation layer in your data warehouse
Raw source tables are messy — nulls, duplicates, schema drift, upstream changes with no notice. A dbt engineer builds the transformation layer that catches these issues with data tests before they reach dashboards, so analysts are working from data they can trust.
Standardizing SQL logic and eliminating metric inconsistencies
When each team writes their own 'revenue' or 'active users' definition in separate SQL files, numbers drift and nobody agrees on the source of truth. dbt encodes business logic as version-controlled models that every downstream consumer references — one definition, one number.
Replacing legacy ETL tools with code-first transformations
Migrating from Informatica, Talend, or SSIS to dbt requires an engineer who can map existing transformation logic to dbt models, rebuild slowly-changing dimension patterns, and design the project structure so the new system is actually more maintainable — not just a different kind of mess.
The Process
Hire in 4 simple steps
From first call to signed developer in as little as two weeks.
Book a Call
A 30-minute discovery call where we understand your stack, team size, seniority needs, and timeline.
Get Matched
Within 7 days we deliver 2–3 hand-picked developer profiles from our vetted LATAM talent network.
Interview
You run your own technical interviews. We coordinate scheduling and give you our vetting notes to guide the conversation.
Hire
Select your developer, sign a flexible engagement agreement, and fast onboard
HOW WE VET DEVELOPERS
How we rigorously choose before you ever see them
From code quality to communication style, every candidate goes through a multi-layered process designed to ensure technical excellence and cultural alignment.
Profile Review
We verify experience, outcomes, and seniority. Only proven professionals move forward.
Soft Skills & Collaboration
We assess communication, collaboration, and English, no multiple-choice fluff.
Technical Evaluation
We test critical thinking and culture fit with real-world engineering challenges.
Precision Matching
Only aligned talent reaches you, by skills, timezone, and team style.
Related dbt skills we assess
These are the specific tools, libraries, and patterns every candidate is tested on before they reach you.
Use these to screen candidates
dbt interview questions
- 01What is the difference between a dbt source and a dbt model, and why does the distinction matter?
- 02What are generic tests in dbt and how would you test that a column has no nulls and only unique values?
- 03Explain what a ref() function does in dbt and why you use it instead of a hardcoded table name.
- 01Walk me through how you'd design the staging, intermediate, and mart layers of a dbt project for an e-commerce company with orders, customers, and products source data.
- 02You notice a production dbt model is running a full table scan on a 5TB Snowflake table every time it runs. How do you identify the problem and convert it to an incremental model?
- 03How would you implement CI/CD for a dbt project — what happens when a PR is opened, what tests run, and how do you prevent bad models from reaching production?
- 01Your dbt project has grown to 300+ models across 8 engineers. Build times have hit 45 minutes and engineers are stepping on each other's changes. How do you restructure the project and development workflow to fix this?
- 02Design a dbt semantic layer implementation using MetricFlow for a SaaS company that needs revenue, ARR, churn, and user engagement metrics accessible from both Tableau and a Python data science environment.
- 03A data quality incident occurs where a dbt model silently dropped 30% of rows due to an unexpected join condition change in a source table. How do you design a monitoring and alerting system to catch this class of failure before it reaches dashboards?
FAQ
dbt Developer FAQ
Common questions about hiring dbt developers from Latin America through NeuronHire.
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