Senior Data Ingestion Engineer — Remote (LATAM)

Darwoft; Neuquén; A distancia; ARS 139.086.000 - 216.357.000; 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 to lead data ingestion, connectors, and integrations for Identity Security and Cybersecurity platforms. You will engage with enterprise customers to design scalable ingestion pipelines, working across cloud platforms, SIEMs, and security telemetry.

You will develop backend services in Python/Go, build robust data collectors, and deploy in Docker/Kubernetes across AWS, Azure, and GCP.

Formación

• 10+ years of professional software/ data/ platform engineering experience.
• Strong Python and Go programming experience.
• Experience designing and consuming REST APIs.
• Experience building data ingestion pipelines or integration platforms.
• Experience integrating complex enterprise systems and third-party platforms.
• Proficiency in SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Knowledge of CI/CD practices.
• Strong communication and customer-facing skills.

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 systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in onboarding processes from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures and CI/CD practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.

Conocimientos

Python

Go

REST APIs

Data ingestion

Ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

AWS

Azure

GCP

CI/CD

Cloud platforms

Herramientas

Docker

Kubernetes

CI/CD

Descripción del empleo

Darwoft is seeking a Senior Data Engineer to lead data ingestion, connectors, and integrations for Identity Security and Cybersecurity platforms. You will engage with enterprise customers to design scalable ingestion pipelines, working across cloud platforms, SIEMs, and security telemetry.

You will develop backend services in Python/Go, build robust data collectors, and deploy in Docker/Kubernetes across AWS, Azure, and GCP.