Senior Data Ingestion Engineer - Remote LATAM

Agileengine; Neuquén; A distancia; ARS 136.732.000 - 197.502.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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 to bridge enterprise customers with our engineering teams. You will design scalable ingestion pipelines, connectors, and ingestion services across cloud environments.

You will work directly with customers to understand data sources, security requirements, and integration constraints, delivering robust data solutions and accelerating time-to-value in a 100% remote LATAM setting.

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 AWS, Azure, or GCP.
• Experience working with Docker and Kubernetes.
• Strong Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.

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.
• Participate in technical onboarding processes from discovery to deployment.
• Design scalable ingestion architectures for processing security events, logs, and high-volume data sources.
• 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 and NoSQL databases to store, transform, and query 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

Docker

Kubernetes

SQL

NoSQL

CI/CD

Cloud platforms

Git

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 with our engineering teams. You will design scalable ingestion pipelines, connectors, and ingestion services across cloud environments.

You will work directly with customers to understand data sources, security requirements, and integration constraints, delivering robust data solutions and accelerating time-to-value in a 100% remote LATAM setting.