Senior Data Eng: Ingestion & Integrations (Remote LATAM)

Lateral Group; Neuquén; Remote; ARS 138,361,000 - 215,229,000; Full time

Benefits offered by this job

Contractor agreement with payment in美元

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 cloud integrations to join our Identity Security project in LATAM. You will design scalable ingestion pipelines, work with Python and Go, and collaborate with customers to translate their data landscapes into reliable platform integrations.

You'll operate across cloud environments (AWS, Azure, GCP), leverage Docker and Kubernetes, and contribute to a data‑heavy, security‑centered product that enables rapid

Qualifications

• 10+ years of professional software or data engineering experience.
• Strong Python and Go development.
• Experience designing REST APIs and data ingestion pipelines.
• Hands-on with cloud platforms (AWS, Azure, GCP) and Docker/Kubernetes.
• Ability to work directly with customers and translate requirements.

Responsibilities

• Design, develop, and maintain data collectors and ingestion services.
• Integrate enterprise data sources including IdPs, cloud platforms, and SIEM systems.
• Work with customers to understand environments and data flows.
• Design scalable ingestion architectures for security events and logs.
• Build integrations using REST APIs, cloud services, and event-driven patterns.
• Deploy and manage containerized services with Docker and Kubernetes.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

CI/CD

Customer-facing

Cloud architecture

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and cloud integrations to join our Identity Security project in LATAM. You will design scalable ingestion pipelines, work with Python and Go, and collaborate with customers to translate their data landscapes into reliable platform integrations.

You'll operate across cloud environments (AWS, Azure, GCP), leverage Docker and Kubernetes, and contribute to a data‑heavy, security‑centered product that enables rapid