Senior Data Engineer - Ingestion & Integrations (Remote)

Aesa (A-Evangelista Sa); La Pampa; Remote; ARS 181,747,000 - 272,620,000; Full time

Benefits offered by this job

USD payment

100% remote work

Argentina's holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft, a Latin American technology company, seeks a Senior Data Engineer focused on data ingestion and connectors for an Identity Security project. You’ll collaborate with customers to understand data sources, security architecture, and integration constraints, then design scalable ingestion solutions.

You will implement production-grade collectors using Python/Go, work with Docker and Kubernetes, and deploy across AWS, Azure, and GCP environments, contributing to a highly data-driven platform.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SIEM systems, and more.
• Work directly with enterprise customers to understand environments and integration constraints.
• Design scalable ingestion architectures for processing security events and high-volume data.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store and analyze data.
• Build and operate Docker/Kubernetes-based containerized services.
• Deploy and integrate solutions across AWS, Azure, and GCP.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

CI/CD

Docker

Kubernetes

SQL

NoSQL

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft, a Latin American technology company, seeks a Senior Data Engineer focused on data ingestion and connectors for an Identity Security project. You’ll collaborate with customers to understand data sources, security architecture, and integration constraints, then design scalable ingestion solutions.

You will implement production-grade collectors using Python/Go, work with Docker and Kubernetes, and deploy across AWS, Azure, and GCP environments, contributing to a highly data-driven platform.