Senior Data Engineer: Cloud Ingestion & Integrations Remote

Netrix Global; Municipio de Rincón de los Sauces; Remote; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

Contractor payment USD

100% remote

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM project in Identity Security. You will bridge enterprise customers and engineering, designing scalable ingestion pipelines that handle security events, logs, and identity activity across cloud and on‑prem environments.

The role emphasizes hands-on data engineering with Python/Go, cloud familiarity across AWS/Azure/GCP, and collaboration with solution architects and customer teams

Qualifications

• 10+ years of professional software/data/platform engineering experience.
• Strong Python and Go development.
• Experience building data ingestion pipelines and integration platforms.
• Experience working with enterprise data sources and cloud platforms.

Responsibilities

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Collaborate with customers to understand environments and data flows for integration.
• Build scalable ingestion architectures for processing security events and logs.
• Develop backend services using Python and/or Go and work with SQL/NoSQL databases.
• Operate containerized services with Docker and Kubernetes.
• Deploy across AWS, Azure, and GCP; troubleshoot deployments.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LATAM project in Identity Security. You will bridge enterprise customers and engineering, designing scalable ingestion pipelines that handle security events, logs, and identity activity across cloud and on‑prem environments.

The role emphasizes hands-on data engineering with Python/Go, cloud familiarity across AWS/Azure/GCP, and collaboration with solution architects and customer teams