Data Engineers for Your Team — LATAM
Data engineers with experience designing pipelines, data architectures, and cloud platforms. Technically evaluated profiles available for onboarding in under 3 weeks.
Typical stack
Python, SQL, Apache Spark, Airflow, dbt, BigQuery, Redshift, Snowflake, AWS Glue, GCP Dataflow, Kafka, PostgreSQL, Docker. Experience in data warehouse, data lake, and real-time ingestion pipeline projects.
Typical responsibilities
ETL/ELT pipeline design and implementation, data modeling, heterogeneous source integration, query and platform cost optimization, support for analytics and machine learning teams.
Available seniority
Mid-level (2-4 years) · Senior (4+ years) · Data Architect for larger-scale projects.
Time to hire
Candidate shortlist in 48-72 business hours · full hiring process in 1 to 3 weeks.
Available in
Argentina · Mexico · Peru · Colombia — and across LATAM and the United States when required.
Time zones
GMT-3 (Argentina) · GMT-5 (Peru · Colombia) · GMT-6 (Mexico) — full overlap with US East, Central, and West Coast.
Engagement
Fully remote · hybrid arrangements available upon agreement.