Remote Senior Data Ingestion Engineer — Connectors & Cloud

Bluelight; Buenos Aires; À distance; ARS 181 672 000 - 227 090 000; Plein temps

Avantages offerts par ce poste

Contractor USD payment

100% remote

Argentine holidays

English classes

Referral program

Learning platforms access

Résumé du poste

Darwoft is seeking a Senior Data Engineer to join a cybersecurity-focused team delivering a data ingestion platform. You will design scalable connectors and ingestion pipelines, working with customers to integrate data from diverse enterprise sources.

You will use Python and Go to build backend services, leverage Docker/Kubernetes, and deploy across AWS, Azure, and GCP while collaborating with cross-functional teams to ensure reliable, secure data flows.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.

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.
• 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.
• 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.

Connaissances

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL

NoSQL

Cloud platforms (AWS/Azure/GCP)

CI/CD

Description du poste

Darwoft is seeking a Senior Data Engineer to join a cybersecurity-focused team delivering a data ingestion platform. You will design scalable connectors and ingestion pipelines, working with customers to integrate data from diverse enterprise sources.

You will use Python and Go to build backend services, leverage Docker/Kubernetes, and deploy across AWS, Azure, and GCP while collaborating with cross-functional teams to ensure reliable, secure data flows.