Senior Data Ingestion Engineer - Remote (LATAM)

Darwoft; Buenos Aires; A distancia; ARS 185.448.000 - 278.173.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in $

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 and implement scalable ingestion pipelines, connectors, and services to bring data from diverse enterprise sources into our Identity Security platform.

Work closely with customers and engineers to understand data sources, security requirements, and APIs; leverage Python and Go, REST APIs, AWS/Azure/GCP, Docker and Kubernetes to deliver reliable, scalable

Formación

• 10+ years of professional software/data engineering experience.
• Strong Python and Go development skills.
• Experience building data ingestion pipelines and connectors.
• Experience with REST APIs and distributed systems.
• Cloud platform experience (AWS/Azure/GCP).
• Hands-on with Docker and Kubernetes.
• Experience working directly with customers and stakeholders.

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, applications, SIEM systems.
• Work with customers to understand environments, data flows, APIs, security requirements, and constraints.
• Participate in onboarding, architecture design, and deployment.
• Design scalable ingestion architectures for high-volume data (security events, logs, etc).
• Build integrations using REST APIs, cloud-native services, event-driven architectures.
• Develop backend services using Python and/or Go.
• Work with SQL and NoSQL databases for storage and querying of large data sets.
• Build and operate containerized services with Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP.
• Troubleshoot complex deployment and integration issues across layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Turn recurring requirements into reusable connectors or platform capabilities.

Conocimientos

Python

Go

REST APIs

Data ingestion

Cloud (AWS/Azure/GCP)

Docker

Kubernetes

SQL & NoSQL

Customer facing

Data integration

Herramientas

AWS

Azure

GCP

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 and implement scalable ingestion pipelines, connectors, and services to bring data from diverse enterprise sources into our Identity Security platform.

Work closely with customers and engineers to understand data sources, security requirements, and APIs; leverage Python and Go, REST APIs, AWS/Azure/GCP, Docker and Kubernetes to deliver reliable, scalable