Senior Data Ingestion & Integrations Engineer Remote LATAM

Unavailable; Quilmes; Remote; ARS 154,540,000 - 247,265,000; 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 LATAM software partner, seeks a Senior Data Engineer focused on data ingestion, connectors, and integrations for a cybersecurity platform. You will work directly with customers to gather requirements, design scalable ingestion mechanisms, and build production-grade data collectors using Python and Go.

You will collaborate across solution architects, sales engineering, and product teams to ensure reliable, secure, and fast time-to-production data pipelines across AWS, Azure, and GCP

Qualifications

• 10+ years of professional software or data engineering experience.
• Strong Python and Go development experience.
• Experience building data ingestion pipelines or connectors.
• Experience with cloud platforms (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, SIEMs, and network infrastructure.
• Collaborate with customers to understand environments and integration constraints.
• Build and operate containerized services with Docker and Kubernetes.

Skills

Python

Go

REST APIs

Data ingestion

Tools

Docker

Kubernetes

SQL

NoSQL

Job description

Darwoft, a LATAM software partner, seeks a Senior Data Engineer focused on data ingestion, connectors, and integrations for a cybersecurity platform. You will work directly with customers to gather requirements, design scalable ingestion mechanisms, and build production-grade data collectors using Python and Go.

You will collaborate across solution architects, sales engineering, and product teams to ensure reliable, secure, and fast time-to-production data pipelines across AWS, Azure, and GCP