Senior Data Ingestion & Integration Engineer — Remote LATAM

T2S - Group International . Your Partner In Executive Search; Neuquén; A distancia; ARS 138.361.000 - 199.855.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor payment in USD

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms access

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer to focus on data ingestion, connectors, and ingestion pipelines within a cybersecurity-focused platform. You will work closely with customers to understand their security data sources, architectures, and workflows, then design scalable ingestion solutions using Python and Go.

You will build and evolve connectors, integrate with identity providers and cloud platforms, and deploy services using Docker and Kubernetes in AWS, Azure, and GCP environments.

Formación

• 10+ years of professional Software Engineering or Data Engineering experience.
• Proficiency in Python and Go.
• Strong experience with REST APIs and data ingestion pipelines.
• Experience with SQL and NoSQL databases.
• Hands-on with Docker and Kubernetes and cloud platforms (AWS/Azure/GCP).
• Familiarity with CI/CD practices and distributed systems.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SIEM systems, and network infrastructure.
• Collaborate with customers to understand environments, data flows, APIs, and constraints.
• Build scalable ingestion architectures for security events, logs, and telemetry.
• Deploy and operate containerized services across AWS, Azure, and GCP.

Conocimientos

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

AWS

Azure

GCP

CI/CD

Herramientas

Docker

Kubernetes

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer to focus on data ingestion, connectors, and ingestion pipelines within a cybersecurity-focused platform. You will work closely with customers to understand their security data sources, architectures, and workflows, then design scalable ingestion solutions using Python and Go.

You will build and evolve connectors, integrate with identity providers and cloud platforms, and deploy services using Docker and Kubernetes in AWS, Azure, and GCP environments.