Senior Data Ingestion Engineer — Remote (Python/Go, Cloud)

Globallogic Inc.; Municipio de Rincón de los Sauces; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Contractor in USD

Remote work 100%

Public holidays in Argentina

English classes

Referral program

Learning platforms access

Job summary

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and engineering. You will design scalable ingestion pipelines, connectors, and services using Python/Go, REST APIs, and cloud-native tech.

This role blends data engineering, software engineering, solution architecture, and technical consulting to deliver reliable, scalable data integrations for cybersecurity-focused platforms.

Qualifications

• 10+ years of professional software/data/ platform engineering experience.
• Strong Python and Go development experience.
• Hands-on with REST APIs and data ingestion pipelines.
• Experience integrating enterprise systems and cloud platforms.
• Docker and Kubernetes in production environments.
• SQL and NoSQL databases; CI/CD and Git workflows.

Responsibilities

• Design, develop, and maintain production-grade data ingestion components.
• Integrate enterprise data sources including IdPs, cloud platforms, SIEMs.
• Work with customers to capture data flows, security needs, and APIs.
• Onboard deployments from discovery to production rollout.
• Build scalable ingestion architectures for high-volume data.
• Develop backend services with Python/Go and containerized deployments.

Skills

Python

Go

REST APIs

Data Ingestion

Distributed Systems

Cloud (AWS/Azure/GCP)

Docker

Kubernetes

SQL

NoSQL

Git/CI-CD

Tools

Docker

Kubernetes

CI/CD

Git

Job description

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and engineering. You will design scalable ingestion pipelines, connectors, and services using Python/Go, REST APIs, and cloud-native tech.

This role blends data engineering, software engineering, solution architecture, and technical consulting to deliver reliable, scalable data integrations for cybersecurity-focused platforms.