Senior Data Ingestion Engineer — Remote LATAM

Outlier; Quilmes; A distancia; ARS 185.448.000 - 278.173.000; Jornada completa

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Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers with engineering. This role emphasizes building connectors, ingestion pipelines, and scalable data solutions across complex environments.

You will work closely with customers to map data sources, security requirements, and workflows, delivering reliable integrations and production-ready services in a 100% remote LATAM setup.

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with at least one major cloud platform (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• Strong understanding of CI/CD practices.
• Strong communication skills and ability to work with customers.

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 from discovery and architecture design to deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and other high-volume data sources.
• 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 environments.
• Troubleshoot complex customer deployment and integration issues across app, 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 trusted technical advisor on data architecture, collection strategies, and security integrations.

Conocimientos

Python

Go

REST APIs

Data ingestion

CI/CD

Cloud infra

SQL

NoSQL

Distributed systems

Customer-facing

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers with engineering. This role emphasizes building connectors, ingestion pipelines, and scalable data solutions across complex environments.

You will work closely with customers to map data sources, security requirements, and workflows, delivering reliable integrations and production-ready services in a 100% remote LATAM setup.