Senior Data Ingestion & Cloud Platform Engineer Remote LATAM

BairesDev; Municipio de Rincón de los Sauces; A distancia; ARS 139.086.000 - 216.357.000; Jornada completa

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer to lead data ingestion, connectors, and ingestion services for an identity security platform. You will work directly with customers to design scalable ingestion pipelines across cloud and on-prem environments, using Python/Go, REST APIs, and containerized deployments.

Remote LATAM opportunity with 100% remote work model. You will collaborate with cross-functional teams to ensure reliable, scalable solutions and hands-on implementation of data ingestion

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong Python and Go development.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Experience with SQL and NoSQL databases.
• Cloud experience with AWS, Azure, or GCP.
• Docker and Kubernetes experience.
• CI/CD practices and Git workflows.
• Experience working directly with customers.

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 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.
• Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and continuously improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.

Conocimientos

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms (AWS/Azure/GCP)

Customer-facing communication

Herramientas

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer to lead data ingestion, connectors, and ingestion services for an identity security platform. You will work directly with customers to design scalable ingestion pipelines across cloud and on-prem environments, using Python/Go, REST APIs, and containerized deployments.

Remote LATAM opportunity with 100% remote work model. You will collaborate with cross-functional teams to ensure reliable, scalable solutions and hands-on implementation of data ingestion