Senior Data Ingestion Engineer - Cloud Integrations Remote

Atmosera; Santa Fe Capital; Remoto; ARS 139.086.000 - 231.811.000; Tempo integral

Benefícios oferecidos por esta vaga

Payment in USD

100% remote

Public holidays Argentina

English classes

Referral program

Learning platforms

Resumo da vaga

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and our engineering team. You will design scalable ingestion pipelines, connectors, and ingestion services to absorb data from complex environments while ensuring reliability and security.

You will work with Python and Go, REST APIs, and cloud platforms (AWS, Azure, GCP), and collaborate with Solution Architects and Customer Success to deliver rapid time-to-value for

Qualificações

• 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 at least one major cloud platform: AWS, Azure, GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• 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 their 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.

Conhecimentos

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms (AWS, Azure, GCP)

Customer-facing collaboration

Security data concepts

Ferramentas

Docker

Kubernetes

Git

Descrição da vaga

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and our engineering team. You will design scalable ingestion pipelines, connectors, and ingestion services to absorb data from complex environments while ensuring reliability and security.

You will work with Python and Go, REST APIs, and cloud platforms (AWS, Azure, GCP), and collaborate with Solution Architects and Customer Success to deliver rapid time-to-value for