Senior Remote Data Ingestion Engineer - Cloud Integrations

Netrix Global; Quilmes; A distancia; ARS 139.086.000 - 231.811.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in 2

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with our engineering team. The role blends data engineering, software engineering, and technical consulting to design scalable ingestion pipelines across cloud environments.

You will work with customers to understand data sources, security requirements, and integration constraints, building reliable connectors and production-grade services using Python and/or Go,

Formación

• 10+ years of professional software/data/platform engineering experience.
• Proven experience building data ingestion pipelines and connectors.
• Strong knowledge of Python and Go development.
• Hands-on with REST APIs and cloud-native services.
• Experience with Docker, Kubernetes, and at least one major cloud provider.

Responsabilidades

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate diverse data sources including identity providers, cloud platforms, and security systems.
• Collaborate with customers to understand environments, data flows, and integration constraints.
• Architect scalable ingestion solutions for high-volume security data.
• Build and operate containerized services using Docker and Kubernetes.

Conocimientos

Python

Go

REST APIs

Data ingestion

Cloud

CI/CD

Distributed systems

Debugging

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with our engineering team. The role blends data engineering, software engineering, and technical consulting to design scalable ingestion pipelines across cloud environments.

You will work with customers to understand data sources, security requirements, and integration constraints, building reliable connectors and production-grade services using Python and/or Go,