Senior Data Engineer: Ingestion & Cloud Integrations

Mindtech; Neuquén; A distancia; ARS 139.086.000 - 200.903.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Payment in USD

100% remote work

Argentina's 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, integrations, and collectors to join our remote LATAM team. You will design scalable ingestion pipelines and connectors, working with customers to translate their data flows into production-ready capabilities.

You will combine data engineering, software engineering, cloud infrastructure, and technical consulting to deliver reliable, secure data solutions across AWS, Azure, and GCP.

Formación

• 10+ years of professional Software/Data Engineering experience.
• Strong Python and Go development.
• Experience building data ingestion pipelines and connectors.
• Experience integrating complex enterprise systems and APIs.
• Cloud experience with AWS, Azure, or GCP.
• Experience with Docker, Kubernetes and CI/CD.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE, network infra, endpoints, apps, security platforms, and SIEM systems.
• Collaborate with customers to understand environments, data flows, APIs, security requirements, and constraints.
• Participate in onboarding from discovery to production deployment.
• Design scalable ingestion architectures for security events, logs, and identity data.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services in Python and/or Go.
• Work with SQL and NoSQL databases for storage and queries.
• Build and operate containerized services with Docker and Kubernetes.
• Deploy across AWS, Azure, and GCP.
• Troubleshoot deployment across apps, infra, networking, API, and data layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, CS, Prod, Eng.
• Turn recurring requirements into reusable connectors and features.
• Contribute to product roadmap with real-world insights.
• Support production adoption and faster value realization.

Conocimientos

Python

Go

REST APIs

Data ingestion pipelines

Enterprise data sources

SQL

NoSQL

CI/CD

Cloud platforms

Herramientas

Docker

Kubernetes

CI/CD

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join our remote LATAM team. You will design scalable ingestion pipelines and connectors, working with customers to translate their data flows into production-ready capabilities.

You will combine data engineering, software engineering, cloud infrastructure, and technical consulting to deliver reliable, secure data solutions across AWS, Azure, and GCP.