Responsibilities
- Designs and runs batch and streaming ingestion pipelines
- Models and organizes the warehouse or data lake
- Keeps loads accurate, monitored and cost-efficient
- Provides secure data access for analysts and models
2027 rates · Latin America
Hire Data Engineers in Latin America
A data engineer builds and maintains the pipelines that move data from your systems into the warehouse or data lake. Without this foundation there is no reliable analytics or AI, and Latin America has data engineers with cloud and modern tooling experience.
- 72-hour shortlist
- Start in ~5 days
- Talent in 18 countries
Rates 2027
How much does it cost to hire a Data Engineer in Latin America? (2027)
A semi-senior Data Engineer costs about $4,250–$5,625 per month through Interfell, all-in (salary $3,400–$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 | $4,875Salary $3,900 | $4,250Salary $3,400 |
| Senior | $9,000Salary $7,200 | $7,375Salary $5,900 | $5,938Salary $4,750 |
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 Engineer does
Skills and stack
- Python and SQL
- Airflow, Dagster or Prefect
- Spark or Databricks
- Snowflake, BigQuery or Redshift
- Kafka or Kinesis
- AWS, GCP or Azure
- dbt and Git
Vetting
What to assess
In the interview and technical test
- Design an end-to-end pipeline for a real case
- How they handle incremental loads, duplicates and backfills
- Monitoring and alerting for data failures
- Controlling compute and storage costs
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
Maintains and adjusts existing pipelines under supervision.
From $2,500/mo with InterfellSemi Senior
Designs and runs complete pipelines independently.
$4,250–$5,625/mo with InterfellSenior
Owns data platform architecture and standards.
Up to $9,000/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 →Hire by country
FAQ
Hiring Data Engineers: common questions
How much does it cost to hire a data 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 engineer?
Interfell presents a first shortlist within 72 hours, and the hire can usually start in about 5 days.
What stack should I look for in a data engineer?
Strong Python and SQL are a must. Then prioritize experience with your cloud and warehouse (for example GCP and BigQuery, or AWS and Snowflake) and an orchestrator like Airflow. Spark matters if you handle large volumes.
Related roles
See Data 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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