Hire Data Engineers
Data engineers build the pipelines and warehouses your analytics and AI depend on. Our LatAm data engineers own ingestion, transformation and data quality end to end.
- Works your time zone
- 8-stage vetting
- Shortlist in 7–10 days
Typical annual cost
Companies save around 64% per data engineer — with no drop in seniority.
Teams hiring with Lateam
What a data engineer does
Hire remote data engineers from Latin America.
- Build and maintain ETL/ELT pipelines
- Model and maintain the data warehouse
- Integrate data from apps, APIs and third-party sources
- Monitor data quality, freshness and lineage
- Optimize query performance and warehouse spend
- Support analysts and data scientists with clean datasets
Core skills we test for
- SQL & data modeling
- Python for data engineering
- ETL/ELT pipeline design
- Cloud data warehouses
- Orchestration & scheduling
- Data quality & testing
Tools they work in
Hiring data engineers, answered
How quickly can I hire a data engineer?
We typically present a shortlist of fully vetted candidates within 7–10 business days, and most clients make a hire within three weeks of kickoff.
How much does a remote data engineer from Latin America cost?
Most of our data engineers land around $48,000 per year all-in, versus roughly $135,000 for a comparable U.S. hire — about 64% less, with no drop in quality.
Will they work in my time zone?
Yes. Every professional we place works your business hours — LatAm overlaps with all U.S. time zones, so there are no overnight handoffs.
How do you vet data engineers?
Eight stages: English proficiency, a real role-specific skills assessment, structured interviews, behavioral assessment, reference checks, background check, internet speed test, and a workspace walkthrough. Roughly 2–3% of applicants pass.
Ready to meet your data engineer?
Book a free 20-minute intro call. We’ll scope the role and send a vetted shortlist within 7–10 days.