Senior Data Ingestion Engineer — Remote LATAM

Darwoft; Ciudad de Mendoza; À distance; ARS 181 747 000 - 272 620 000; Plein temps

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Résumé du poste

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and collectors to join our Identity Security / cybersecurity platform project. You will bridge customers and engineering, designing scalable ingestion pipelines across cloud and on-prem environments.

You will work with enterprise data sources, build connectors, and deploy across AWS, Azure, and GCP, while ensuring reliability, security, and fast time-to-production in a 100% remote LATAM setup.

Qualifications

• 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.

Responsabilités

• 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.
• Develop 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.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and continuously improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.

Description du poste

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and collectors to join our Identity Security / cybersecurity platform project. You will bridge customers and engineering, designing scalable ingestion pipelines across cloud and on-prem environments.

You will work with enterprise data sources, build connectors, and deploy across AWS, Azure, and GCP, while ensuring reliability, security, and fast time-to-production in a 100% remote LATAM setup.