Senior Cloud Data Engineer — Ingestion & Integrations (Remote)

Maxit Consulting - Max Corporate Group; Buenos Aires; A distancia; ARS 139.018.000 - 231.696.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement in USD

100% remote

English classes

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and cloud integrations to serve enterprise customers in the LATAM region. You will design, build, and operate scalable ingestion pipelines and connectors using Python and Go, while collaborating closely with customers and engineering teams.

You will work across identity security platforms, cloud environments (AWS/Azure/GCP), and SIEM integrations, delivering reliable data flows and production-ready solutions with

Formación

• 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.

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 processes from discovery through deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, 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 onsite engagements.

Conocimientos

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

CI/CD

SQL

NoSQL

Herramientas

Docker

Kubernetes

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and cloud integrations to serve enterprise customers in the LATAM region. You will design, build, and operate scalable ingestion pipelines and connectors using Python and Go, while collaborating closely with customers and engineering teams.

You will work across identity security platforms, cloud environments (AWS/Azure/GCP), and SIEM integrations, delivering reliable data flows and production-ready solutions with