Senior Data Ingestion Engineer | Remote in LATAM

Agileengine, Llc.; Ciudad de Mendoza; A distancia; ARS 185.819.000 - 278.728.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor payment in USD

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to bridge enterprise customers and the engineering organization. You’ll design scalable ingestion pipelines, build connectors, and work across cloud, identity security, and SIEM domains.

You will collaborate with customers to understand data sources, security requirements, and workflows, delivering reliable, scalable solutions and contributing to product improvements while operating in a fully remote

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong experience in 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.
• Solid understanding of SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• CI/CD practices and Git workflows.
• Ability to translate customer requirements into pragmatic technical solutions.

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.

Conocimientos

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

Cloud platforms

SQL databases

NoSQL databases

CI/CD

Herramientas

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to bridge enterprise customers and the engineering organization. You’ll design scalable ingestion pipelines, build connectors, and work across cloud, identity security, and SIEM domains.

You will collaborate with customers to understand data sources, security requirements, and workflows, delivering reliable, scalable solutions and contributing to product improvements while operating in a fully remote