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Data Engineer Guide for Argentina

Build data pipelines and infrastructure remotely

Data Engineers build the infrastructure and pipelines that enable data science and analytics. They work with databases, data warehouses, ETL processes, and cloud data platforms. It's a high-demand, well-paying field with US companies offering $60-130+/hour for experienced data engineers. Argentine data engineers are known for strong technical skills and reliability. The work is entirely remote-friendly - all development happens on computers with cloud infrastructure. Data engineering offers excellent career prospects and the satisfaction of building critical data infrastructure.

Visa Options

Digital Nomad Visa

Easy

For data engineers working remotely.

2-4 weeks

Highly Skilled Worker Visa

Moderate

For senior data engineers.

2-3 months

Requirements

  • Data engineering experience (2+ years)
  • SQL and database expertise
  • Cloud data platform experience (AWS, GCP, Azure)
  • ETL/ELT pipeline experience
  • Proof of employment or client contracts
  • Minimum income documentation ($2,500+/month)
  • Health insurance valid in Argentina
  • Criminal background check

Income Requirements

Minimum Income Required

$2,500 - $7,000+ USD/month

Data engineers command strong rates due to high demand

💡Senior data engineers earn $60-130+/hour

Remote Work Feasibility

Highly Feasible for Remote Work

Data engineering is ideally remote-friendly. All work happens on cloud infrastructure with digital collaboration tools.

Key Considerations:

  • 1Extremely high demand for data engineers
  • 2Critical infrastructure role
  • 3Good career progression
  • 4Skills transferable across industries

Local Job Market

Demand Level

High

Average Salary

ARS $1,500,000-4,000,000/month ($1,200-3,200 USD at blue rate)

Key Cities:

Buenos AiresCordoba

Industries:

TechFintechEnterpriseConsulting

Tax Considerations

  • Remote data engineering typically not taxed locally under Digital Nomad Visa
  • Freelancers should register under monotributo

Frequently Asked Questions

Data engineer vs data scientist?

Data engineers build infrastructure and pipelines. Data scientists analyze data and build models. Both are in demand. Data engineering focuses more on software engineering and infrastructure.