Senior Cloud Data Ingestion Engineer (Remote LATAM)

Agileengine, Llc.; Santiago del Estero; A distancia; ARS 182.310.000 - 273.465.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor payment in USD

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms access

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors for a cybersecurity platform. You will bridge enterprise customers and engineering, designing scalable ingestion pipelines and connectors across cloud services, identity providers, and security platforms.

You will work with Python/Go, REST APIs, and modern data pipelines, while collaborating with customer teams to translate complex requirements into practical solutions.

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 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.
• Ability to translate complex customer requirements into pragmatic technical solutions.
• Strong communication skills and the ability to operate effectively in customer-facing technical conversations.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, and security requirements.
• Participate in technical onboarding from discovery through deployment.
• Design scalable ingestion architectures for processing security events, logs, and network telemetry.
• 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 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 layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with cross-functional teams and act as a trusted technical advisor.
• Identify recurring customer requirements and transform them into reusable connectors or product improvements.
• Contribute insights from real-world implementations 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

SQL

NoSQL

Docker

Kubernetes

Cloud platforms

CI/CD

Distributed systems

Customer-facing

Herramientas

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors for a cybersecurity platform. You will bridge enterprise customers and engineering, designing scalable ingestion pipelines and connectors across cloud services, identity providers, and security platforms.

You will work with Python/Go, REST APIs, and modern data pipelines, while collaborating with customer teams to translate complex requirements into practical solutions.