Senior Data Engineer - Ingestion & Integrations (Remote LATAM)

Encora; Neuquén; A distancia; ARS 139.086.000 - 231.811.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor payment in USD

Remote work

Argentina holidays

English classes

Referral program

Learning platforms

Descripción de la vacante

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors for a next-generation Identity Security platform. You will engage with enterprise customers to design scalable ingestion pipelines and connectors, spanning cloud, on-premise, and SaaS sources.

You will use Python and/or Go to build backend services, work with SQL/NoSQL databases, and operate Docker/Kubernetes in AWS, Azure, and GCP environments while ensuring reliability and security.

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong Software development with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines, connector frameworks, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production cloud experience (AWS/Azure/GCP).
• Experience with Docker and Kubernetes.
• Strong CI/CD practices and Git workflows.
• Ability to translate customer requirements into technical solutions.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, and SIEM systems.
• Work with customers to understand environments, data flows, APIs, and constraints.
• Participate in onboarding, discovery, architecture design, and production deployment.
• Design scalable ingestion architectures for high-volume data sources (security events, logs, identity activity, telemetry).
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services with Python and/or Go; work with SQL/NoSQL databases.
• Operate containerized services with Docker and Kubernetes; deploy in AWS/Azure/GCP.
• Troubleshoot complex deployment issues across application, infrastructure, networking, API, and data layers.
• Improve ingestion performance, reliability, and scalability; collaborate across teams.

Conocimientos

Python

Go

REST APIs

Data ingestion

CI/CD

Distributed systems

Data engineering

Herramientas

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

Git

Descripción del empleo

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors for a next-generation Identity Security platform. You will engage with enterprise customers to design scalable ingestion pipelines and connectors, spanning cloud, on-premise, and SaaS sources.

You will use Python and/or Go to build backend services, work with SQL/NoSQL databases, and operate Docker/Kubernetes in AWS, Azure, and GCP environments while ensuring reliability and security.