Senior Data Engineer - Ingestion & Integrations (Remote)

Sci Gestión; La Pampa; À distance; ARS 184 482 000 - 276 723 000; Plein temps

Avantages offerts par ce poste

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Résumé du poste

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge customers’ environments with our Identity Security platform. You will design scalable ingestion pipelines, build connectors, and collaborate with customers to understand data sources, security requirements, and workflows.

You will combine data engineering, software engineering, and cloud infrastructure to deliver reliable, secure data integrations using Python/Go, Docker, and Kubernetes

Qualifications

• 10+ years of professional Software/Data/Platform engineering experience.
• Experience with data ingestion pipelines and integrations.
• Cloud experience with AWS, Azure, and GCP.
• Experience working directly with customers and translating requirements into technical solutions.
• Strong debugging across APIs, infrastructure, and data pipelines.

Responsabilités

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, and SIEM systems.
• Work directly with customers to understand environments, data flows, and integration constraints.
• Deploy and operate containerized services using Docker and Kubernetes.

Connaissances

Python

Go

REST APIs

Data ingestion pipelines

Distributed systems

SQL

NoSQL

Cloud platforms (AWS/Azure/GCP)

Outils

Docker

Kubernetes

CI/CD

Description du poste

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge customers’ environments with our Identity Security platform. You will design scalable ingestion pipelines, build connectors, and collaborate with customers to understand data sources, security requirements, and workflows.

You will combine data engineering, software engineering, and cloud infrastructure to deliver reliable, secure data integrations using Python/Go, Docker, and Kubernetes