Hire The Top Full-Stack Data Engineers From Latam For 30% Under US-Market
Hire full-stack data engineers from Latam to build pipelines, manage ETL, and support SaaS analytics.
Happy Customers Hiring Latin American Full-Stack Data Engineers
Why Hire Full-Stack Data Engineers From Latin America?
Full-Stack Data Engineers in Latin America manage pipelines that capture, process, and analyze data while also supporting application development. Their skills give SaaS companies actionable insights while maintaining the systems that power daily operations.
Responsibilities often cover building ETL workflows, managing cloud storage, and integrating APIs with analytics tools. Engineers in this role frequently support U.S. startups where high-quality data influences growth decisions and product direction.
Shared hours ensure immediate collaboration on ingestion failures, schema updates, or reporting deadlines.
Hiring Data Engineers from Latin America secures talent that improves data reliability while reducing costs compared to U.S.-based hiring.
LatamCent
Can Help You
Hire Back-End Engineers in 21 Days
Fast placement without shortcuts, most teams complete final interviews and onboard in under three weeks.
Payroll & Compliance Handled
We handle payroll setup, local tax compliance, and employment contracts. Intellectual property rights are secured under U.S.-compliant agreements.
Work With Engineers in Your Stack
We match developers skilled in Node.js, Go, Python, PostgreSQL, Docker, AWS, and scalable service architecture.
Get Pre-Vetted Full-Stack Data Engineers
Each Full-Stack Data Engineer is reviewed for build quality, response times, and timezone fit by backend-focused recruiters.
Our Candidates Are Experienced Full-Stack Data Engineers
LatamCent candidates are skillful professionals with excellent English proficiency and impressive work experience.
Junior Full-Stack Data Engineers
With 1–2 years of experience, junior data engineers assist with ETL jobs, maintain pipelines, and handle basic API connections. They support storage monitoring, write simple scripts, and learn how structured data fuels analytics and reporting.
Mid-Level Full-Stack Data Engineers
With 3–5 years of experience, mid-level data engineers build pipelines, integrate APIs, and optimize data transformations. They collaborate with analysts, manage scaling issues, and ensure pipelines remain accurate and dependable.
Senior Full-Stack Data Engineers
With 6–10 years of experience, senior data engineers architect systems, manage distributed processing, and enforce standards. They mentor engineers, refine frameworks, and ensure data systems remain robust for analytics and applications.
Director Full-Stack Data Engineers
With 10+ years of experience, directors oversee data strategy, guide infrastructure investments, and ensure pipelines scale efficiently. They align engineering with business intelligence, creating long-term value through reliable data platforms.
Cost Savings: Hire Full-Stack Data Engineers In Latam Vs. USA
Hiring full-stack data engineers in Latin America lowers payroll expenses and connects SaaS companies with developers who turn raw data into actionable systems.
The financial advantage shows immediately, but the real value continues in daily output.
A data engineer builds pipelines, manages ETL processes, and structures warehouses so teams can run analytics reliably. From backend jobs to frontend dashboards, data flows remain consistent.
Aligned time zones make coordination simple. Engineers are available for standups, reviews, and troubleshooting, keeping projects in sync with U.S. teammates.
Companies don’t sacrifice reliability for savings. They secure affordable expertise that transforms data into insights while staying within budget.
Salary Comparison for Full-Stack Data Engineers
This is an average based on the top 50% of salaries in the region. Top 10% earners usually have higher rates.
Our Process To Recruit & Hire Full-Stack Data Engineers In 21 Days In Latam Vs. USA
Kickoff & Search
Sign the agreement, pay the retainer, and your recruitment begins. Our Talent Partners dive into the market to headhunt 1,100–1,700 qualified Full-Stack Data Engineers candidates who meet your job requirements and timezone preferences.
Screening & Evaluation
Our Talent Partners will thoroughly vet candidates through English language tests, personality assessments, and tech capability checks. We conduct interviews to evaluate past work, communication skills, and set expectations.
Selection & Onboarding
You'll assess the top candidates and decide who's right for your team. Once selected, we handle reference checks, legal agreements, and onboarding to payroll. Your new Full-Stack Data Engineer is now ready to contribute and integrated into your team.
Are You Ready To Start Building Your Team?
Full-Stack Data Engineer
Pedro Aguilar
Tools
Full-Stack Data Engineer
Lucas Fonseca
Tools
Full-Stack Data Engineer
David Morales
Tools
Full-Stack Data Engineer
Roberto Alvarez
Tools
Full-Stack Data Engineer
Gabriel Herrera
Tools
