Senior Data Ingestion Engineer — Remote LATAM (Python/Go)

Boehringer Ingelheim Gmbh; La Pampa; A distancia; ARS 185.448.000 - 247.265.000; 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 collectors for a cybersecurity platform. You will work with enterprise customers to understand their data sources, security requirements and workflows, then design scalable ingestion pipelines and integration solutions.

The role blends data engineering, software engineering, solution architecture and cloud infrastructure, with production-grade ingestion and fast time-to-production in a 100% remote LATAM setting.

Formación

• Over 10 years in software, data or platform engineering or related fields.
• Proficient in Python and Go for backend services.
• Experienced designing and consuming REST APIs.
• Hands-on with data ingestion pipelines and integration platforms.
• Cloud experience across AWS, Azure or GCP; Docker and Kubernetes in production.

Responsabilidades

• Design, develop and maintain data collectors, connectors and ingestion services.
• Integrate enterprise data sources including IdPs, cloud platforms, SIEMs and endpoints.
• Work with customers to understand environments, data flows and integration constraints.
• Architect scalable ingestion paths for high-volume security data and logs.
• Build and operate containerized services using Docker and Kubernetes; deploy across AWS/Azure/GCP.

Conocimientos

Python

Go

REST APIs

CI/CD

Distributed systems

Customer-facing

Herramientas

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors and collectors for a cybersecurity platform. You will work with enterprise customers to understand their data sources, security requirements and workflows, then design scalable ingestion pipelines and integration solutions.

The role blends data engineering, software engineering, solution architecture and cloud infrastructure, with production-grade ingestion and fast time-to-production in a 100% remote LATAM setting.