Senior Data Engineer - Ingestion & Connectors (Remote LATAM)

Unavailable; Municipio de Rincón de los Sauces; A distancia; ARS 154.540.000 - 216.357.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor payment in USD

Remote work (100%)

Argentina holidays

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will bridge customer needs with engineering, designing scalable ingestion pipelines and connectors that ingest data from complex enterprise environments into our cybersecurity platform.

You will work across cloud, on-prem, and SaaS environments, using Python and Go, REST APIs, and modern data architectures.

Formación

• 10+ years software/data/engineering experience or related fields.
• Strong background in data ingestion, integration, and connector design.
• Proficiency with Python and/or Go and REST APIs.
• Experience with cloud platforms (AWS, Azure, GCP) and containerized services.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SIEMs, and security tools.
• Work directly with customers to understand environments and data flows for reliable ingestion.
• Architect scalable ingestion architectures for high-volume data sources like security events and logs.
• Build integrations using REST APIs, cloud services, and modern software practices.
• Operate dockerized services with Kubernetes and contribute to CI/CD pipelines.

Conocimientos

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

Cloud platforms (AWS/Azure/GCP)

Herramientas

SQL

NoSQL

CI/CD

Git

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will bridge customer needs with engineering, designing scalable ingestion pipelines and connectors that ingest data from complex enterprise environments into our cybersecurity platform.

You will work across cloud, on-prem, and SaaS environments, using Python and Go, REST APIs, and modern data architectures.