Senior Data Ingestion Engineer - Remote LATAM

Engg; Neuquén; A distancia; ARS 182.310.000 - 273.465.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor payment in USD

100% remote work

Argentina 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 serve enterprise customers in a 100% remote LATAM setting.

You'll work with Python/Go to design scalable connectors, ingest massive event data, and collaborate with security-focused teams across AWS/Azure/GCP environments.

This role blends data engineering, software development, solution architecture, and customer-facing consulting to deliver reliable, secure ingestion pipelines.

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.
• 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 both SQL and NoSQL databases.
• Production experience with cloud platforms (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• Strong Git-based development workflows and CI/CD practices.

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, security requirements, and integration constraints.
• Participate in technical onboarding, from discovery and architecture design to production deployment.
• Design scalable ingestion architectures for high-volume data sources such as security events, logs, and identity activity.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go; work with SQL/NoSQL databases.
• Operate containerized services with Docker and Kubernetes; deploy across AWS, Azure, GCP.

Conocimientos

Python

Go

REST APIs

Data Ingestion

Cloud Platforms

CI/CD

Docker

Kubernetes

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve enterprise customers in a 100% remote LATAM setting.

You'll work with Python/Go to design scalable connectors, ingest massive event data, and collaborate with security-focused teams across AWS/Azure/GCP environments.

This role blends data engineering, software development, solution architecture, and customer-facing consulting to deliver reliable, secure ingestion pipelines.