Senior Data Ingestion Engineer - Remote (LATAM)

Bluelight; Ciudad de Mendoza; Remote; ARS 136.310.000 - 227.183.000; Vollzeit

Benefits dieser Stelle

Contractor agreement with payment in X

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Zusammenfassung

Darwoft is partnering with a cybersecurity-focused project and seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will collaborate with customers to design scalable ingestion pipelines and connectors, leveraging Python and Go, across cloud and on-prem environments.

You will work on trusted data architectures for security events, logs, and identity data, with remote LATAM flexibility and a customer-facing engineering role that requires strong problem-solving

Qualifikationen

• 10+ years of professional Software/Data/Platform Engineering experience.
• Strong Python and Go development skills and REST API design.
• Experience building data ingestion pipelines and integration platforms.
• Experience with SQL and NoSQL databases and cloud deployments.
• Proficiency with Docker and Kubernetes and CI/CD practices.
• Strong communication and customer-facing capabilities.

Aufgaben

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including IdPs, cloud platforms, and security systems.
• Work directly with customers to understand environments and data flows.
• Architect scalable ingestion architectures for high-volume data like logs and events.
• Build reusable connectors and ingestion pipelines across complex enterprise environments.

Kenntnisse

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL/NoSQL

CI/CD

Customer-facing

Tools

AWS

Azure

GCP

Jobbeschreibung

Darwoft is partnering with a cybersecurity-focused project and seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will collaborate with customers to design scalable ingestion pipelines and connectors, leveraging Python and Go, across cloud and on-prem environments.

You will work on trusted data architectures for security events, logs, and identity data, with remote LATAM flexibility and a customer-facing engineering role that requires strong problem-solving