Senior Data Ingestion Engineer - Remote AI & Platforms

Netrix Global; Santa Fe Capital; A distancia; ARS 169.994.000 - 262.719.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in $

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and the engineering organization. You will design scalable ingestion pipelines, integrate diverse data sources, work with Python and Go, Docker and Kubernetes, and cloud platforms, while collaborating with customers and internal teams to deliver reliable data solutions.

This remote LATAM role offers challenging projects in Identity Security and cybersecurity platforms,

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Proficient in Python and Go with REST APIs.
• Experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with at least one major cloud platform: AWS, Azure, or GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.
• Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
• Experience working directly with customers, stakeholders, or technical partners.

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 discovery and architecture design to 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 multiple 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 and implementation best practices.
• Identify recurring customer requirements and transform them into reusable connectors or platform improvements.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Conocimientos

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

CI/CD

SQL

NoSQL

Communication

Herramientas

Docker

Kubernetes

Git

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and the engineering organization. You will design scalable ingestion pipelines, integrate diverse data sources, work with Python and Go, Docker and Kubernetes, and cloud platforms, while collaborating with customers and internal teams to deliver reliable data solutions.

This remote LATAM role offers challenging projects in Identity Security and cybersecurity platforms,