Senior Data Ingestion Engineer - Remote LATAM (Python/Go)

Agileengine, Llc.; Municipio de Rincón de los Sauces; Remote; ARS 139,086,000 - 216,357,000; Full time

Benefits offered by this job

100% remote

Job summary

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join our Identity Security/Cybersecurity platform project. You will design scalable ingestion pipelines, connectors, and services, collaborating with customers and enterprise teams to map data sources, security requirements, and integration constraints.

You will implement backend services in Python and Go, work with cloud platforms (AWS, Azure, GCP), Docker and Kubernetes, and build reliable data

Qualifications

• 10+ years of professional software/data/platform engineering experience.
• Strong Python and Go development skills.
• Experience designing and consuming REST APIs.
• Experience with data ingestion pipelines and integration platforms.
• Production cloud experience (AWS, Azure, GCP).

Responsibilities

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

Skills

Python

Go

REST APIs

SQL

NoSQL

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Git

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join our Identity Security/Cybersecurity platform project. You will design scalable ingestion pipelines, connectors, and services, collaborating with customers and enterprise teams to map data sources, security requirements, and integration constraints.

You will implement backend services in Python and Go, work with cloud platforms (AWS, Azure, GCP), Docker and Kubernetes, and build reliable data