Responsibilities
- Builds distributed processing for large data volumes
- Designs streaming architectures and data lakes
- Tunes performance, partitioning and compute costs
- Connects the platform with analytics and ML teams
2027 rates · Latin America
Hire Big Data Engineers in Latin America
A big data engineer designs systems that process very large data volumes in a distributed way, in batch or in real time. The role matters when volume outgrows what a standard warehouse handles, and Latin America has engineers experienced with Spark, Kafka and cloud platforms.
- 72-hour shortlist
- Start in ~5 days
- Talent in 18 countries
Rates 2027
How much does it cost to hire a Big Data Engineer in Latin America? (2027)
A semi-senior Big 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 | $2,875Salary $2,300 | $2,500Salary $2,000 |
| Semi Senior | $5,625Salary $4,500 | $4,875Salary $3,900 | $4,250Salary $3,400 |
| Senior | $8,188Salary $6,550 | $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 Big Data Engineer does
Skills and stack
- Spark (PySpark or Scala)
- Kafka and stream processing (Flink, Spark Streaming)
- Databricks or EMR
- Parquet, Delta Lake or Iceberg
- Hadoop and HDFS (legacy environments)
- Python, Scala or Java
- Cloud (AWS, GCP or Azure)
Vetting
What to assess
In the interview and technical test
- Design an architecture for a given volume and latency
- Fix a slow Spark job (shuffles, skew, partitions)
- Streaming delivery guarantees (exactly-once, replays)
- Real production experience with large volumes
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
Builds jobs and transformations on an existing platform.
From $2,500/mo with InterfellSemi Senior
Designs and tunes distributed pipelines independently.
$4,250–$5,625/mo with InterfellSenior
Owns big data and streaming architecture and platform costs.
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 Big Data Engineers: common questions
How much does it cost to hire a big 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 big data engineer?
Interfell presents a first shortlist within 72 hours, and the hire can usually start in about 5 days.
Do I need a big data engineer or is a data engineer enough?
If your data fits comfortably in a modern warehouse like BigQuery or Snowflake, a data engineer is usually enough. Look for a big data profile when you run high-volume streaming, very large data lakes or complex distributed jobs.
Related roles
See Big 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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