Senior Data Ingestion & Cloud Engineer - Remote LATAM

Globallogic Inc.; Tandil; Remote; ARS 185,331,000 - 277,997,000; Full time

Benefits offered by this job

Contractor agreement in USD

100% remote work

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is partnering with a cybersecurity innovator to recruit a Senior Data Engineer focused on data ingestion and integrations. The role requires close collaboration with enterprise customers to design scalable ingestion pipelines and connectors that ingest data from diverse sources like identity providers, cloud platforms, endpoints, and SIEM systems.

The position emphasizes architecture, cloud infrastructure, and hands-on engineering with Python/Go, REST APIs, and containerized deployments.

Qualifications

• 10+ years of professional software/data engineering experience.
• Strong Python and Go programming skills.
• Hands-on data ingestion pipelines and integration experience.
• Experience with cloud platforms and containerized services.

Responsibilities

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and security systems.
• Work with customers to understand environments, data flows, and integration constraints.
• Build scalable ingestion architectures for high-volume data like security events and logs.
• Develop back-end services using Python and/or Go; operate Docker/Kubernetes-based apps.
• Deploy solutions across AWS, Azure, and GCP; troubleshoot deployments.
• Collaborate with architects, sales, customer success, product, and engineering teams.

Skills

Python

Go

Data ingestion

Cloud platforms

REST APIs

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is partnering with a cybersecurity innovator to recruit a Senior Data Engineer focused on data ingestion and integrations. The role requires close collaboration with enterprise customers to design scalable ingestion pipelines and connectors that ingest data from diverse sources like identity providers, cloud platforms, endpoints, and SIEM systems.

The position emphasizes architecture, cloud infrastructure, and hands-on engineering with Python/Go, REST APIs, and containerized deployments.