Senior Data Ingestion Engineer- Cloud Integrations (Remote)

Netrix Global; Ciudad de Mendoza; Remote; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

Contractor agreement with payment in I

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is recruiting a Senior Data Engineer focused on data ingestion and integrations for a cybersecurity identity platform. You will partner with enterprise customers, understand their data sources and security requirements, and design scalable ingestion pipelines using Python and Go.

The role blends data engineering with software architecture and cloud infrastructure in a remote LATAM context. You will build connectors, ingestion pipelines, and integrations across AWS, Azure, and GCP,

Qualifications

• 10+ years of professional software/ data engineering or related experience.
• Strong experience with Python and/or Go.
• Proven ability to design and consume REST APIs.
• Hands-on data ingestion pipelines, connectors, or integration platforms.
• Experience with Docker and Kubernetes in production environments.
• Cloud exposure across AWS/Azure/GCP.
• Experience with SQL and NoSQL databases.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and security systems.
• Work directly with customers to understand environments and data flows, APIs, and security requirements.
• Develop scalable ingestion architectures for high-volume data such as events, logs, and telemetry.
• Deploy and operate containerized services using Docker and Kubernetes.

Skills

Python

Go

Data ingestion

REST APIs

Docker

Kubernetes

Cloud platforms

SQL

NoSQL

CI/CD

Tools

AWS

Azure

GCP

Job description

Darwoft is recruiting a Senior Data Engineer focused on data ingestion and integrations for a cybersecurity identity platform. You will partner with enterprise customers, understand their data sources and security requirements, and design scalable ingestion pipelines using Python and Go.

The role blends data engineering with software architecture and cloud infrastructure in a remote LATAM context. You will build connectors, ingestion pipelines, and integrations across AWS, Azure, and GCP,