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

Itx-Jordan; La Pampa; Teletrabalho; ARS 138 361 000 - 199 855 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

USD payments

Remote work

Public holidays (Argentina)

English classes

Referral program

Learning platforms

Resumo da oferta

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LatAm engagement. You will design and implement scalable ingestion pipelines, connectors, and services in Python and Go, working closely with customers to understand data sources and security requirements.

You will build with Docker/Kubernetes, deploy across AWS/Azure/GCP, and collaborate with solution architects and engineering teams to deliver reliable, scalable data platform

Qualificações

• 10+ years of professional software/data/platform engineering experience.
• Proficient in Python and Go.
• Experience designing REST APIs and data ingestion pipelines.
• Experience with cloud platforms (AWS/Azure/GCP).
• Experience with Docker and Kubernetes.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE, networks, endpoints, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, and integration constraints.
• Participate in onboarding, architecture design, and production deployment.
• Build scalable ingestion architectures for processing security events, logs, network telemetry, and other data sources.

Conhecimentos

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

AWS

Azure

GCP

SQL

Ferramentas

Docker

Kubernetes

Git

CI/CD

Descrição da oferta de emprego

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a remote LatAm engagement. You will design and implement scalable ingestion pipelines, connectors, and services in Python and Go, working closely with customers to understand data sources and security requirements.

You will build with Docker/Kubernetes, deploy across AWS/Azure/GCP, and collaborate with solution architects and engineering teams to deliver reliable, scalable data platform