Senior Data Engineer - Remote Ingestion & Connectors

Zeo Consulting; Municipio de Rincón de los Sauces; A distancia; ARS 184.482.000 - 276.723.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor payment in USD

100% remote work

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 for a remote LATAM project in identity security. You will design scalable ingestion pipelines, build connectors, and work directly with enterprise customers to understand data sources and security requirements.

You will leverage Python and Go to develop backend services, integrate with cloud platforms, and ensure reliable, secure data pipelines across AWS, Azure, and GCP.

Formación

• 10+ years of professional Software/Data Engineering/Platform Engineering experience.
• Strong software development experience in Python and Go.
• Experience designing and consuming REST APIs.

Responsabilidades

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and security systems.
• Collaborate with customers to understand environments and integration constraints.
• Build scalable ingestion architectures for high-volume data sources such as security events and logs.
• Develop backend services using Python and/or Go and work with SQL/NoSQL databases.

Conocimientos

Python

Go

REST APIs

Data ingestion

Distributed systems

SQL

NoSQL

Cloud platforms

CI/CD

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 for a remote LATAM project in identity security. You will design scalable ingestion pipelines, build connectors, and work directly with enterprise customers to understand data sources and security requirements.

You will leverage Python and Go to develop backend services, integrate with cloud platforms, and ensure reliable, secure data pipelines across AWS, Azure, and GCP.