Remote Senior Data Ingestion Engineer (Python/Go)

Agileengine, Llc.; Quilmes; A distancia; ARS 108.178.000 - 185.448.000; 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, connectors, and integrations to join our cybersecurity platform team. You will collaborate with customers to understand their data sources, security architecture, and APIs, then design scalable ingestion solutions using Python/Go, REST APIs, and cloud-native services.

You will build and evolve data collectors, deploy on AWS/Azure/GCP, and work with Docker/Kubernetes in production.

Formación

• 10+ years of professional software/data/platform engineering experience.
• Strong Python and Go development skills.
• Experience designing and consuming REST APIs.
• Hands-on with data ingestion pipelines and connector frameworks.
• Experience integrating complex enterprise systems.
• Strong SQL and NoSQL database knowledge.
• Production cloud experience (AWS/Azure/GCP).
• Docker and Kubernetes in production.
• CI/CD practices and Git workflows.
• Ability to work with customers and translate requirements into solutions.

Responsabilidades

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Interact with customers to understand environments, data flows, and integration constraints.
• Participate in onboarding, architecture design, and deployment processes.
• Design scalable ingestion architectures for high-volume data like security events and logs.
• Build integrations using REST APIs, cloud-native services, and event-driven patterns.
• Develop backend services primarily with Python and/or Go.
• Work with SQL/NoSQL databases to store and analyze data.
• Operate containerized services with Docker and Kubernetes.
• Deploy across AWS, Azure, and GCP environments.
• Troubleshoot deployment and integration issues across layers.
• Optimize ingestion performance and reliability.
• Collaborate with cross-functional teams and customer success.

Conocimientos

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

CI/CD

Distributed systems

Customer-facing

Cloud platforms

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations to join our cybersecurity platform team. You will collaborate with customers to understand their data sources, security architecture, and APIs, then design scalable ingestion solutions using Python/Go, REST APIs, and cloud-native services.

You will build and evolve data collectors, deploy on AWS/Azure/GCP, and work with Docker/Kubernetes in production.