Senior Data Ingestion Architect (Python/Go) — Remote

Fullstack; Santa Fe Capital; Remote; ARS 139,086,000 - 200,903,000; 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, a Latin American software partner, is seeking a Senior Data Engineer focused on data ingestion and integrations to join our Identity Security platform project. You will design, build, and optimize connectors and ingestion pipelines while interfacing with enterprise customers and engineering teams.

You will work across cloud environments (AWS/Azure/GCP), implement containerized services with Docker and Kubernetes, and apply CI/CD practices.

Qualifications

• 10+ years of software/data/platform engineering experience.
• Experience with enterprise data ingestion and integration.

Responsibilities

• Design and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE, network infrastructure, endpoints, and SIEM systems.
• Work directly with customers to understand environments, data flows, and integration constraints.
• Participate in onboarding processes from discovery to deployment.
• Design scalable ingestion architectures for processing high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.

Skills

Python

Go

REST APIs

Data ingestion

Cloud infrastructure

CI/CD

Customer-facing communication

Tools

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

Git workflows

Job description

Darwoft, a Latin American software partner, is seeking a Senior Data Engineer focused on data ingestion and integrations to join our Identity Security platform project. You will design, build, and optimize connectors and ingestion pipelines while interfacing with enterprise customers and engineering teams.

You will work across cloud environments (AWS/Azure/GCP), implement containerized services with Docker and Kubernetes, and apply CI/CD practices.