Senior Data Ingestion Engineer - Remote (LATAM)

AgileEngine, LLC.; Ciudad de Mendoza; Remote; ARS 136,310,000 - 196,892,000; Full time

Benefits offered by this job

Contractor paid in USD

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is partnering with a cybersecurity innovator to hire a Senior Data Engineer focused on data ingestion, connectors, and ingestion pipelines. You will collaborate with customers to map data sources, security requirements, and workflows, delivering scalable, reliable integrations across cloud and on‑prem environments.

The role blends data engineering, software engineering, and solution architecture, with hands-on work on Python and Go, REST APIs, and containerized services.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering or related experience.
• Experience designing and consuming REST APIs.
• Experience building data ingestion pipelines and integration platforms.
• Hands-on with data from security, identity, and enterprise systems.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SIEMs, and network infrastructure.
• Work with customers to understand environments, data flows, security requirements, and integration constraints.
• Build scalable ingestion architectures for processing security events, logs, and telemetry.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

CI/CD

Cloud platforms

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is partnering with a cybersecurity innovator to hire a Senior Data Engineer focused on data ingestion, connectors, and ingestion pipelines. You will collaborate with customers to map data sources, security requirements, and workflows, delivering scalable, reliable integrations across cloud and on‑prem environments.

The role blends data engineering, software engineering, and solution architecture, with hands-on work on Python and Go, REST APIs, and containerized services.