Senior Data Ingestion & Integrations Engineer - Remote

Talan; Neuquén; A distancia; ARS 108.178.000 - 185.448.000; 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 in LATAM is seeking a Senior Data Engineer focused on data ingestion and integrations to join our cybersecurity platform project. You will collaborate with customers to design reliable ingestion pipelines and connectors, using Python or Go, Docker, and cloud services.

You will work remotely with distributed teams to implement scalable solutions across AWS, Azure, and GCP, bridging data engineering and customer consulting. Strong API, data, and security domain expertise are essential.

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong experience with Python and Go.
• 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, or GCP.
• Experience working with Docker and Kubernetes.
• Strong CI/CD practices and Git workflows.
• Experience designing reliable, scalable, and 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, 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.

Conocimientos

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

AWS

Azure

GCP

CI/CD

Herramientas

SQL

NoSQL

Git

Descripción del empleo

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion and integrations to join our cybersecurity platform project. You will collaborate with customers to design reliable ingestion pipelines and connectors, using Python or Go, Docker, and cloud services.

You will work remotely with distributed teams to implement scalable solutions across AWS, Azure, and GCP, bridging data engineering and customer consulting. Strong API, data, and security domain expertise are essential.