Senior Data Engineer — Remote Data Ingestion for Security

Jampp; Santa Fe Capital; A distancia; ARS 136.732.000 - 212.695.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

USD contractor payment

100% remote work

Argentine holidays

English classes

Referral program

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 is a 100% remote role for LATAM, with a strong emphasis on building scalable ingestion pipelines and connectors.

You will work across Python/Go, REST APIs, cloud platforms (AWS, Azure, GCP), and containerized services with Docker and Kubernetes, engaging directly with customers to translate complex requirements into practical data

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third‑party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong debugging skills across APIs, infrastructure, and data pipelines.
• Experience working directly with customers or technical partners.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, and integration constraints.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and other high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployment and integration issues across layers.

Conocimientos

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud

Herramientas

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 is a 100% remote role for LATAM, with a strong emphasis on building scalable ingestion pipelines and connectors.

You will work across Python/Go, REST APIs, cloud platforms (AWS, Azure, GCP), and containerized services with Docker and Kubernetes, engaging directly with customers to translate complex requirements into practical data