Hire a Data Engineer from Latin America
Pre-vetted Data Engineers who build scalable pipelines and data infrastructure — for 50-60% less than US rates.
Salary Comparison
| Level | US Rate | LATAM Rate | Savings |
|---|---|---|---|
| Junior (1-3 yrs) | $7,500/mo | $3,000/mo | 60% |
| Mid-Level (3-5 yrs) | $11,000/mo | $5,000/mo | 55% |
| Senior (5+ yrs) | $14,500/mo | $6,500/mo | 55% |
Key Skills
Our Vetting Process
Only the top 4% of applicants pass.
Technical Assessment
Pipeline design challenges, SQL optimization tests, and data modeling exercises.
English Proficiency
Conversational English evaluation to ensure seamless collaboration with data and product teams.
Cultural Fit
Behavioral interviews assessing remote work experience, ownership mentality, and cross-functional communication.
Reference Checks
Verification of past data infrastructure projects, scale handled, and professional references.
Hiring Timeline
Tell Us What You Need
1 dayShare your data stack, pipeline requirements, data volume, and seniority needs.
Review Pre-Vetted Candidates
7-14 daysWe present 3-5 data engineers experienced in your specific cloud and tooling ecosystem.
Start Working Together
Day 21Onboard your new Data Engineer. We handle contracts, payroll, and compliance if needed.
Pricing Plans
Starting from $3000/month
Placement
We source and vet data engineers. You interview top candidates and manage them directly.
- Sourcing & vetting
- Technical assessments
- English proficiency tests
- Candidate shortlist (3-5)
Staffing
Full-service: hiring, onboarding, payroll, and compliance handled by Nexus.
- Everything in Placement
- Onboarding support
- Payroll management
- Compliance & contracts
Teams
Build a data engineering team with pipeline, analytics, and infrastructure expertise.
- Everything in Staffing
- Team coordination
- Performance tracking
- Scalable on demand
Frequently Asked Questions
How much does a Data Engineer cost in Latin America?+
LATAM Data Engineers cost $3,000-$6,500/month depending on seniority, versus $7,500-$14,500/month in the US. Savings of 55-60%.
What cloud platforms do your Data Engineers work with?+
Our engineers have experience with AWS (Redshift, Glue, S3), GCP (BigQuery, Dataflow), Azure (Synapse, Data Factory), and Snowflake.
Can they handle real-time data pipelines?+
Yes. Many of our data engineers have built real-time streaming architectures using Kafka, Flink, and Kinesis at scale.
How quickly can I hire a Data Engineer?+
Average time-to-hire is 21 days. We present pre-vetted candidates within 7-14 days.
Ready to Hire a Data Engineer?
Tell us what you need and we'll present top candidates within 7-14 days.