Remote Senior Data Ingestion & Integrations Engineer

Netrix Global; Ciudad de Mendoza; A distancia; ARS 138.361.000 - 199.855.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in 0

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft in LATAM is seeking a Senior Data Engineer focused on Data Ingestion, Integrations and Collectors to bridge enterprise customers with our engineering teams. You will design and implement scalable ingestion pipelines and connectors using Python and Go.

Work with cloud platforms (AWS/Azure/GCP), Docker/Kubernetes, and REST APIs to ingest security events, logs and identity data, while collaborating directly with customers and cross-functional teams.

Formación

• 10+ years of professional software/ data engineering experience.
• Strong experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Experience with SQL and NoSQL databases.
• Production cloud experience (AWS/Azure/GCP).
• Docker and Kubernetes experience.
• CI/CD and Git workflows.
• Ability to work directly with customers.

Responsabilidades

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources like identity providers, cloud platforms, SIEMs, and network infrastructure.
• Collaborate with customers to understand environments, data flows, APIs, and constraints.
• Participate in onboarding from discovery to deployment.
• Design scalable ingestion architectures for high-volume security data.
• Build integrations using REST APIs, cloud services, and event-driven architectures.
• Develop backend services with Python and/or Go.
• Work with SQL/NoSQL databases to store and analyze data.
• Operate containerized services with Docker and Kubernetes.
• Deploy solutions across AWS, Azure, and GCP.
• Troubleshoot complex deployments across layers.
• Improve ingestion performance and reliability.
• Collaborate with cross-functional teams and advise on data architecture.
• Identify reusable connectors and contribute to product roadmap.
• Support production adoption and time-to-value for customers.
• Participate in occasional customer-facing sessions.

Conocimientos

Python

Go

REST APIs

Data ingestion pipelines

Distributed systems

SQL/NoSQL

CI/CD

Customer-facing

Cloud platforms

Herramientas

Docker

Kubernetes

Descripción del empleo

Darwoft in LATAM is seeking a Senior Data Engineer focused on Data Ingestion, Integrations and Collectors to bridge enterprise customers with our engineering teams. You will design and implement scalable ingestion pipelines and connectors using Python and Go.

Work with cloud platforms (AWS/Azure/GCP), Docker/Kubernetes, and REST APIs to ingest security events, logs and identity data, while collaborating directly with customers and cross-functional teams.