Responsibilities
- Defines quality rules and tests on pipelines and tables
- Implements monitoring and anomaly alerts on data
- Investigates data incidents and their root cause
- Documents data contracts with producing teams
2027 rates · Latin America
Hire Data Quality Engineers in Latin America
A data quality engineer makes sure the data your company relies on is correct, complete and on time. They catch problems before they reach a report or a model, and Latin America has professionals who combine data engineering with a QA mindset.
- 72-hour shortlist
- Start in ~5 days
- Talent in 18 countries
Rates 2027
How much does it cost to hire a Data Quality Engineer in Latin America? (2027)
A semi-senior Data Quality Engineer costs about $3,813–$5,625 per month through Interfell, all-in (salary $3,050–$4,500 with advanced English).
| Seniority | Tier 1Brazil, Chile, Costa Rica, Mexico, Uruguay | Tier 2Argentina, Colombia, Peru, Guatemala, Panama | Tier 3Bolivia, Ecuador, El Salvador, Honduras, Nicaragua, Paraguay, Venezuela |
|---|---|---|---|
| Junior | $3,000Salary $2,400 | $2,813Salary $2,250 | $2,500Salary $2,000 |
| Semi Senior | $5,625Salary $4,500 | $4,438Salary $3,550 | $3,813Salary $3,050 |
| Senior | $8,188Salary $6,550 | $6,500Salary $5,200 | $5,500Salary $4,400 |
USD per month. Large figure: monthly cost with Interfell (all-in). “Salary”: the professional’s pay with advanced English, for profiles working with US companies (English premium of 15% in Tier 1, 25% in Tier 2 and 30% in Tier 3 over the LATAM base).
How the price works (80/20). With Interfell remote staffing, 80% of the monthly invoice is the professional’s pay and 20% is Interfell’s fee (equivalent to adding 25% to the salary). Contracts, payments and local compliance in one invoice.
Updated: October 2026 · Source: Interfell LATAM IT Salary Guide 2027 · See the full salary guide.
The role
What a Data Quality Engineer does
Skills and stack
- SQL and Python
- Great Expectations, Soda or dbt tests
- Data observability tools (Monte Carlo or similar)
- Airflow or another orchestrator
- Data warehouses (Snowflake, BigQuery)
- Data contracts and lineage
Vetting
What to assess
In the interview and technical test
- Design quality rules for a specific dataset
- Investigate an incident: a metric that shifted for no clear reason
- How they prioritize which tables and checks to monitor
- How they coordinate with the teams that produce data
How Interfell helps
Every shortlist comes pre-vetted for English level, technical depth and fit with US teams. You get candidates in about 72 hours and your hire can start in roughly 5 days.
Levels
Seniority levels
Junior
Implements tests and reviews defined alerts.
From $2,500/mo with InterfellSemi Senior
Designs the quality framework for a domain and resolves incidents.
$3,813–$5,625/mo with InterfellSenior
Owns data quality strategy, data contracts and governance.
Up to $8,188/mo with InterfellHiring models
How to hire with Interfell
Remote staffing
Interfell contracts, pays and administers the professional in their country. You get one monthly invoice and unlimited replacements at no extra cost while the service runs.
Remote staffing →IT recruiting
We find and vet the candidate; you hire them directly under your own contract. Includes a 60-day replacement guarantee.
IT recruiting →Plans and pricing
Compare plans and fees for staffing and recruiting, and pick the model that fits your team and budget.
See plans →FAQ
Hiring Data Quality Engineers: common questions
How much does it cost to hire a data quality engineer in Latin America?
It depends on seniority and the country tier you hire in; the table on this page shows the monthly cost for each combination. With Interfell staffing, 80% of the monthly invoice is the professional’s pay and 20% is Interfell’s fee. US-facing profiles with advanced English earn a premium.
How long does it take to hire a data quality engineer?
Interfell presents a first shortlist within 72 hours, and the hire can usually start in about 5 days.
When does a dedicated data quality role make sense?
When several pipelines, decisions or models depend on your data and errors are costing trust or time. In small teams this usually falls to the data engineer or analytics engineer.
Related roles
See Data Quality Engineers available today.
Real candidates from 18 countries, vetted for US teams. Shortlist in 72 hours, start in about 5 days.
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