Senior Data Engineer - Ingestion & Integrations (Remote LATAM)

BairesDev; Municipio de Rincón de los Sauces; A distancia; ARS 169.108.000 - 245.976.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in 

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and cloud integrations to join our Identity Security platform. You will work closely with enterprise customers, designing scalable ingestion pipelines and connectors that run on cloud environments.

This role blends data engineering with software engineering and solution architecture, requiring hands-on coding in Python/Go, experience with Docker/Kubernetes, and a passion for reliable, secure data flows across AWS,

Formación

• 10+ years of professional software/data engineering or related experience.
• Proficient in Python and Go with strong data ingestion capabilities.
• Experience designing and consuming REST APIs and integrating cloud data sources.
• Experience with SQL and NoSQL databases and CI/CD practices.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM.
• Work directly with enterprise customers to understand their environments, data flows, APIs, security requirements, and integration constraints.

Conocimientos

Python

Go

REST APIs

Data ingestion

Cloud platforms

CI/CD

Herramientas

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

REST APIs

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and cloud integrations to join our Identity Security platform. You will work closely with enterprise customers, designing scalable ingestion pipelines and connectors that run on cloud environments.

This role blends data engineering with software engineering and solution architecture, requiring hands-on coding in Python/Go, experience with Docker/Kubernetes, and a passion for reliable, secure data flows across AWS,