Senior Data Ingestion Engineer (Python/Go) - Remote LATAM

Coder Technologies Inc.; La Pampa; Teletrabalho; ARS 169 108 000 - 261 349 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Contractor agreement with payment in $

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Resumo da oferta

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge customers and engineering. This role emphasizes building scalable ingestion pipelines, connectors, and ingestion services that support enterprise security data flows.

You will use Python/Go, Docker/Kubernetes, and cloud platforms to deliver reliable, secure data integrations for complex environments, while engaging directly with customers and cross-functional teams.

Qualificações

• 10+ years of professional software/data/platform engineering experience.
• Strong experience with Python and Go.
• Experience with REST APIs and data ingestion pipelines.

Responsabilidades

• Design and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources across identity, cloud, SASE, networks, endpoints, and SIEM systems.
• Collaborate with enterprise customers to map data flows and integration constraints.
• Participate in onboarding, architecture design, and production deployment.
• Design scalable ingestion architectures for high-volume data like security events and logs.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and best practices.

Conhecimentos

Python

Go

REST APIs

Data ingestion

CI/CD

SQL

NoSQL

AWS

Azure

GCP

Docker

Kubernetes

Git

Ferramentas

Docker

Kubernetes

Descrição da oferta de emprego

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge customers and engineering. This role emphasizes building scalable ingestion pipelines, connectors, and ingestion services that support enterprise security data flows.

You will use Python/Go, Docker/Kubernetes, and cloud platforms to deliver reliable, secure data integrations for complex environments, while engaging directly with customers and cross-functional teams.