Senior Data Ingestion Engineer: Cloud Connectors & AI

Netrix Global; Rosario; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with our engineering teams. This role is remote and centered on building scalable ingestion pipelines and connectors across cloud and security data sources.

You will work directly with customers to understand their data sources, security requirements, and architectural constraints, delivering reliable, high-volume data ingestion using Python, Go, and

Qualifications

• 10+ years of software/data/platform engineering experience.
• Strong Python and Go development experience.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Cloud experience across AWS, Azure, or GCP.
• Docker and Kubernetes experience.
• Experience with SQL and NoSQL databases.
• Ability to translate customer requirements into pragmatic technical solutions.
• Excellent communication and customer-facing skills.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, network infrastructure, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, and integration constraints.
• Participate in onboarding, discovery, architecture design, and deployment.
• Design scalable ingestion architectures for security events, logs, and high-volume data sources.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with our engineering teams. This role is remote and centered on building scalable ingestion pipelines and connectors across cloud and security data sources.

You will work directly with customers to understand their data sources, security requirements, and architectural constraints, delivering reliable, high-volume data ingestion using Python, Go, and