Senior Data Ingestion Engineer - Remote (LatAm)

Webflow; La Pampa; Remote; ARS 181,747,000 - 257,474,000; Full time

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve as the bridge between enterprise customers and the engineering team. You’ll design scalable ingestion mechanisms and work with Python/Go, cloud platforms, and REST APIs.

This remote role (LATAM region) offers opportunities to collaborate with customers, understand data sources, security requirements, and integration constraints while building reliable connectors and pipelines that scale and

Qualifications

• 10+ years in Software/Data/Platform engineering or related fields.
• Proficient in Python and Go with backend/data infra experience.
• Experience designing data ingestion pipelines and integration platforms.
• Strong experience with cloud providers (AWS/Azure/GCP) and REST APIs.

Responsibilities

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including identity, cloud platforms, and security tools.
• Work directly with customers to understand environments, data flows, and constraints.
• Architect scalable ingestion pipelines for high-volume data and security events.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services in Python and/or Go; work with SQL/NoSQL databases.
• Operate containerized services with Docker and Kubernetes; deploy across AWS/Azure/GCP.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Docker

Kubernetes

SQL/NoSQL

Cloud platforms (AWS/Azure/GCP)

CI/CD

Customer-facing

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve as the bridge between enterprise customers and the engineering team. You’ll design scalable ingestion mechanisms and work with Python/Go, cloud platforms, and REST APIs.

This remote role (LATAM region) offers opportunities to collaborate with customers, understand data sources, security requirements, and integration constraints while building reliable connectors and pipelines that scale and