Senior Data Ingestion Architect — Remote LATAM

AgileEngine, LLC.; La Pampa; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Contractor agreement with payment in $

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is partnering with a cybersecurity leader to hire a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will bridge customers and engineering, designing scalable ingestion pipelines for security events, logs, and identity activity across cloud and on-prem environments.

You will work with Python/Go and collaborate with cross-functional teams to deliver reliable, scalable data integrations in a 100% remote LATAM setup.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering experience.
• Strong experience with Python and Go.
• Hands-on data ingestion, connectors, or integration platforms.
• Experience with cloud providers (AWS/Azure/GCP).
• Excellent communication and customer-facing capabilities.

Responsibilities

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and security systems.
• Work with customers to understand environments and data flows for integration.
• Build scalable ingestion architectures for high-volume data.
• Develop backend services using Python and/or Go.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Cloud integration

Tools

Python

Go

REST APIs

Docker

Kubernetes

AWS

Azure

GCP

SQL

NoSQL

Job description

Darwoft is partnering with a cybersecurity leader to hire a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will bridge customers and engineering, designing scalable ingestion pipelines for security events, logs, and identity activity across cloud and on-prem environments.

You will work with Python/Go and collaborate with cross-functional teams to deliver reliable, scalable data integrations in a 100% remote LATAM setup.