Senior Data Engineer - Ingestion & Integrations (Remote)

Ubq; Ciudad de Mendoza; A distancia; ARS 92.724.000 - 185.448.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

USD payment via contractor

100% remote work

Argentina public holidays

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations for a next-generation Identity Security platform. You will work closely with enterprise customers to understand data sources, security architectures, and workflows, and design scalable ingestion pipelines from diverse environments.

You will combine data engineering, software engineering, cloud infrastructure, and technical consulting to deliver reliable, scalable, and secure data ingestion solutions

Formación

• 10+ years in software or data engineering or platform engineering.
• Proficiency in Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on in data ingestion pipelines and connectors.
• Experience integrating complex enterprise systems.
• SQL and NoSQL databases expertise.
• Production cloud experience: AWS, Azure, or GCP.
• Docker and Kubernetes experience.
• CI/CD practices and Git workflows.
• Strong customer-facing communication and problem-solving.

Responsabilidades

• Design, develop, and maintain data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM.
• Work with customers to understand environments and APIs.
• Onboard customers from discovery to deployment.
• Design scalable ingestion architectures for high-volume data such as security events, logs, and identity activity.
• Build integrations using REST, cloud-native services, and event-driven patterns.
• Develop backend services in Python and/or Go.
• Work with SQL/NoSQL to store and query data.
• Operate Docker/Kubernetes-based containerized services.
• Deploy solutions across AWS, Azure, and GCP.
• Troubleshoot deployments across app, infra, network, data layers.
• Improve ingestion performance and reliability.
• Collaborate with architects, sales engineering, customer success, product, and engineering.
• Advise on data architecture and security integrations.
• Identify recurring requirements and create reusable connectors.
• Contribute to product roadmap with real-world insights.
• Support production adoption and reduce time-to-value for customers.
• Participate in occasional customer-facing technical sessions.

Conocimientos

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

CI/CD

Distributed systems

Customer engagement

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations for a next-generation Identity Security platform. You will work closely with enterprise customers to understand data sources, security architectures, and workflows, and design scalable ingestion pipelines from diverse environments.

You will combine data engineering, software engineering, cloud infrastructure, and technical consulting to deliver reliable, scalable, and secure data ingestion solutions