Senior Data Engineer - Ingestion & Integrations (Remote)

Intellectsoft; La Pampa; Remote; ARS 107,614,000 - 184,482,000; 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 is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations to help enterprise customers build reliable ingestion pipelines for a cybersecurity platform. This role is fully remote and LATAM-based, with strong collaboration across distributed teams.

You will design scalable ingestion architectures using Python and Go, work with REST APIs, cloud services (AWS/Azure/GCP), and Docker/Kubernetes, and translate complex customer needs into robust data solutions.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Proficient in Python and Go.
• Experience building data ingestion pipelines and integrations.
• Experience with Docker and Kubernetes in production.
• Experience with AWS, Azure, or GCP in enterprise environments.

Responsibilities

• Design and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources across identity, cloud, SASE, network, and security platforms.
• Collaborate with customers to understand environments and constraints.
• Build scalable ingestion architectures for security events and logs.
• Deliver reliable, scalable ingestion solutions and enable faster time-to-production.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

CI/CD

Docker

Kubernetes

AWS

Azure

GCP

Tools

Cloud platforms

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations to help enterprise customers build reliable ingestion pipelines for a cybersecurity platform. This role is fully remote and LATAM-based, with strong collaboration across distributed teams.

You will design scalable ingestion architectures using Python and Go, work with REST APIs, cloud services (AWS/Azure/GCP), and Docker/Kubernetes, and translate complex customer needs into robust data solutions.