Senior Data Engineer: Ingestion & Integrations (Remote)

Agileengine; La Pampa; A distancia; ARS 137.078.000 - 228.464.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

USD payment for contracted work

Remote work

Public holidays in Argentina

English classes

Referral program

Learning platforms access

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to become a key technical bridge between enterprise customers and the engineering team. You’ll design scalable ingestion mechanisms that pull data from complex environments into our cybersecurity platform.

You’ll work across cloud ecosystems (AWS, Azure, and GCP), REST APIs, and containerized services, building reliable connectors and pipelines with Python and Go, while collaborating with Solution

Formación

• 10+ years of professional Software/Data/Platform Engineering or related experience.
• ,
• Strong Python and Go development experience.

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, architecture design, and production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and 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.
• Troubleshoot complex customer deployment and integration issues across 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 data architecture and integration best practices.
• Identify recurring customer requirements and transform them into reusable connectors/solutions.
• Contribute technical insights to the product roadmap.
• Support production adoption and time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Conocimientos

Python

Go

REST APIs

Data ingestion

Connector frameworks

SQL

NoSQL

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

Distributed systems

Debugging

Customer-facing

Enterprise systems

Herramientas

Docker

Kubernetes

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to become a key technical bridge between enterprise customers and the engineering team. You’ll design scalable ingestion mechanisms that pull data from complex environments into our cybersecurity platform.

You’ll work across cloud ecosystems (AWS, Azure, and GCP), REST APIs, and containerized services, building reliable connectors and pipelines with Python and Go, while collaborating with Solution