Senior Cloud Data Ingestion Engineer (Remote LATAM)

Netrix Global; La Pampa; A distancia; ARS 106.347.000 - 167.117.000; 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 seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization. You’ll design scalable ingestion architectures, build connectors, and collaborate with customers to translate complex requirements into reliable solutions across cloud, security, and data platforms.

This role combines data engineering, software engineering, solution architecture, and technical consulting

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.
• Hands-on 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, GCP).
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.

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 to deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and high-volume data.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software 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.
• Troubleshoot complex customer deployment and integration issues.
• 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 security integrations.
• Identify recurring customer requirements and transform them into reusable connectors and platform capabilities.
• Contribute technical insights to the product roadmap.
• Support production adoption and improve time-to-value for customers.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Conocimientos

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

CI/CD

Git

AWS

Azure

GCP

Docker

Kubernetes

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization. You’ll design scalable ingestion architectures, build connectors, and collaborate with customers to translate complex requirements into reliable solutions across cloud, security, and data platforms.

This role combines data engineering, software engineering, solution architecture, and technical consulting