Senior Data Engineer: Ingestion & Integrations (Remote LATAM)

Musimundo; Neuquén; A distancia; ARS 108.178.000 - 216.357.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

USD payment contractor

100% remote

Argentine holidays

English classes

Referral program

Learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge customers and engineering. You will design scalable ingestion pipelines, build connectors, and work closely with enterprise clients to understand data sources, security requirements, and APIs.

You will develop backend services in Python and Go, leverage Docker and Kubernetes, and deploy solutions across AWS, Azure, and GCP. Remote LATAM cooperation expected.

Formación

• Over 10 years in software/data/platf orm engineering or related.
• Strong Python/Go development background and data ingestion experience.
• Experience building data connectors and integration platforms.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Work with enterprise customers to understand environments, data flows, APIs, and integration constraints.
• Participate in onboarding from discovery to production deployment.
• Design scalable ingestion architectures for high-volume data sources such as security events, logs, and network telemetry.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily with Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze data.
• Operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP.
• Troubleshoot complex deployment and integration issues across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor on customer data architecture and security integrations.
• Identify recurring customer requirements and translate them into reusable connectors and platform improvements.
• Contribute technical insights to the product roadmap.
• Support production adoption and time-to-value for enterprise customers.
• Participate in customer-facing technical sessions and onsite engagements if needed.

Conocimientos

Python

Go

REST APIs

SQL

NoSQL

Docker

Kubernetes

Cloud platforms

Data ingestion

Data connectors

Herramientas

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge customers and engineering. You will design scalable ingestion pipelines, build connectors, and work closely with enterprise clients to understand data sources, security requirements, and APIs.

You will develop backend services in Python and Go, leverage Docker and Kubernetes, and deploy solutions across AWS, Azure, and GCP. Remote LATAM cooperation expected.