Senior Data Ingestion Engineer — Remote (LATAM)

Agileengine, Llc.; Buenos Aires; A distancia; ARS 185.448.000 - 278.173.000; Jornada completa

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a cybersecurity platform project. You will work directly with enterprise customers to understand data sources, security architecture, and design scalable ingestion pipelines that feed our identity security platform.

You'll develop backend services in Python and/or Go, build connectors using REST APIs, deploy in Docker/Kubernetes environments, and operate across AWS, Azure, and GCP.

Formación

• 10+ years of professional Software Engineering or related experience.
• Strong software development with Python and Go.
• Experience designing and consuming REST APIs.

Responsabilidades

• Design, develop, and maintain 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 technical onboarding processes, from initial discovery and architecture design through production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high‑volume data sources.
• Build integrations using REST APIs, cloud‑native services, event‑driven architectures, and modern software engineering practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high‑volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.

Conocimientos

Python

Go

REST APIs

Data ingestion pipelines

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

CI/CD

Herramientas

Docker

Kubernetes

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a cybersecurity platform project. You will work directly with enterprise customers to understand data sources, security architecture, and design scalable ingestion pipelines that feed our identity security platform.

You'll develop backend services in Python and/or Go, build connectors using REST APIs, deploy in Docker/Kubernetes environments, and operate across AWS, Azure, and GCP.