Senior Data Engineer – Cloud Ingestion & Integrations (Remote)

Webflow; Neuquén; A distancia; ARS 184.482.000 - 276.723.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor payment in USD

100% remote

Argentina holidays

English classes

Referral program

Learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, connectors, and ingestion pipelines for a cybersecurity platform. You will work directly with enterprise customers to design scalable data ingestion solutions, orchestrate collectors, and ensure reliability in cloud environments.

You will collaborate across solution architects, engineering, and sales to translate complex data requirements into robust integrations, using AWS/Azure/GCP and containerized deployments.

Formación

• 10+ years of professional Software/ Data Engineering or related experience.
• Strong experience building data ingestion pipelines and integration platforms.
• Hands-on with Python and/or Go and REST APIs.

Responsabilidades

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Collaborate with customers to understand environments, data flows, APIs, and constraints.
• Build scalable ingestion architectures for processing security events, logs, and identity data.
• Deploy and operate containerized services using Docker and Kubernetes.

Conocimientos

Python

Go

REST APIs

Data ingestion pipelines

Connector frameworks

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms

Herramientas

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, connectors, and ingestion pipelines for a cybersecurity platform. You will work directly with enterprise customers to design scalable data ingestion solutions, orchestrate collectors, and ensure reliability in cloud environments.

You will collaborate across solution architects, engineering, and sales to translate complex data requirements into robust integrations, using AWS/Azure/GCP and containerized deployments.