Senior Cloud Data Engineer – Ingestion & Integrations

Bluelight Consulting, Llc; La Pampa; A distancia; ARS 182.310.000 - 273.465.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in U

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft is partnering with a cybersecurity leader to hire a Senior Data Engineer focused on data ingestion, connectors, and integrations. You will collaborate with customers to understand their data sources, security architecture, and workflows, and design scalable ingestion pipelines for large volumes of events and logs.

You'll apply Python and Go to build backend services, integrate with AWS, Azure, and GCP, and deploy containerized solutions with Docker and Kubernetes in a LATAM remote setup.

Formación

• 10+ years of professional software or data engineering experience.
• Expertise in Python and Go for backend data workloads.
• Experience building data ingestion pipelines and connectors.

Responsabilidades

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Collaborate with customers to understand environments, data flows, APIs, and integration constraints.
• Deploy and operate scalable ingestion architectures for high-volume data.
• Build integrations using REST APIs, cloud-native services, and event-driven patterns.

Conocimientos

Python

Go

REST APIs

Data ingestion

CI/CD

Customer-facing

Cloud platforms

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Descripción del empleo

Darwoft is partnering with a cybersecurity leader to hire a Senior Data Engineer focused on data ingestion, connectors, and integrations. You will collaborate with customers to understand their data sources, security architecture, and workflows, and design scalable ingestion pipelines for large volumes of events and logs.

You'll apply Python and Go to build backend services, integrate with AWS, Azure, and GCP, and deploy containerized solutions with Docker and Kubernetes in a LATAM remote setup.