Senior Data Ingestion Engineer - Remote (Security/Cloud)

Netrix Global; Municipio de Rincón de los Sauces; A distancia; ARS 139.086.000 - 231.811.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement in USD

100% remote

Argentina's public 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 to bridge enterprise customers and the engineering team. This remote LATAM role emphasizes building connectors, ingestion pipelines, and scalable data solutions using Python and Go.

You will work with customers to map data sources, storage, and security requirements, delivering reliable, scalable ingestion across AWS/Azure/GCP in a 100% remote setup.

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong experience in Python and Go, REST APIs, and data ingestion pipelines.
• Experience designing and integrating complex enterprise systems and third-party platforms.
• Proficiency with SQL and NoSQL databases; production cloud experience (AWS/Azure/GCP).

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Collaborate with customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Build scalable ingestion architectures for processing security events, logs, identity activity, and network telemetry.

Conocimientos

Python

Go

REST APIs

Data ingestion

Cloud platforms

CI/CD

SQL

NoSQL

Distributed systems

Customer-facing

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 and the engineering team. This remote LATAM role emphasizes building connectors, ingestion pipelines, and scalable data solutions using Python and Go.

You will work with customers to map data sources, storage, and security requirements, delivering reliable, scalable ingestion across AWS/Azure/GCP in a 100% remote setup.