Senior Cybersecurity Data Ingestion Engineer (Remote)

Darwoft; Santa Fe Capital; Remote; ARS 136,430,000 - 197,065,000; 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, connectors, and integrations for a cybersecurity platform. You will work closely with customers to design scalable ingestion pipelines and robust data collectors.

The role combines data engineering, software engineering, and cloud infrastructure, with Python and Go as core backend languages. You'll deploy in AWS, Azure, and GCP and operate with Docker and Kubernetes.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering.
• Proficient in Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Experience with SQL and NoSQL databases.
• Production cloud experience with AWS, Azure, or GCP.
• Docker and Kubernetes experience.
• Strong CI/CD practices.
• Customer-facing engagement and requirements translation.

Responsibilities

• Design, build, and maintain data collectors and ingestion services.
• Integrate data sources including IdPs, clouds, SIEMs, and networks.
• Work with customers to understand environments and constraints.
• Architect scalable ingestion processing for high-volume data.
• Deploy solutions across AWS/Azure/GCP and containers.
• Collaborate with cross-functional teams and support deployments.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

Cloud platforms (AWS/Azure/GCP)

CI/CD

Customer-facing communication

Tools

Docker

Kubernetes

Git

Job description

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations for a cybersecurity platform. You will work closely with customers to design scalable ingestion pipelines and robust data collectors.

The role combines data engineering, software engineering, and cloud infrastructure, with Python and Go as core backend languages. You'll deploy in AWS, Azure, and GCP and operate with Docker and Kubernetes.