Senior Data Ingestion Engineer - Remote LATAM

Agileengine; Tandil; Híbrido; ARS 91.155.000 - 182.310.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in $

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will bridge enterprise customers and engineering, designing scalable ingestion pipelines that handle diverse data sources and security requirements.

This role combines data engineering, software engineering, solution architecture, and cloud infrastructure, with customer-facing responsibilities and a path toward platform improvements.

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 Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, production-ready distributed systems.

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, and integration constraints.
• Participate in technical onboarding, architecture design, and production deployment.
• Design scalable ingestion architectures for processing security events, logs, and 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 data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot deployment and integration issues across app, infra, networking, API, and data layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as trusted advisor on data architecture, collection strategies, and security integrations.
• Identify recurring requirements and turn them into reusable connectors or platform improvements.
• Contribute insights to the product roadmap.

Conocimientos

Python

Go

REST APIs

Data ingestion pipelines

Cloud platforms

Docker

Kubernetes

CI/CD

SQL/NoSQL

Customer collaboration

Herramientas

Docker

Kubernetes

CI/CD tooling

Descripción del empleo

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will bridge enterprise customers and engineering, designing scalable ingestion pipelines that handle diverse data sources and security requirements.

This role combines data engineering, software engineering, solution architecture, and cloud infrastructure, with customer-facing responsibilities and a path toward platform improvements.