Senior Data Ingestion & Integrations Engineer - Remote

Boehringer Ingelheim Gmbh; Quilmes; A distancia; ARS 108.178.000 - 200.903.000; 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 partnering with a cybersecurity-focused project to build and evolve a data ingestion platform. The Senior Data Engineer will design connectors, collectors, and ingestion services, interfacing with identity providers, cloud platforms, SIEMs, and security tools across enterprise environments.

This role requires strong data engineering and software engineering skills, plus experience with REST APIs, distributed systems, and cloud infrastructure.

Formación

• 10+ years of professional software engineering, data engineering, or platform engineering experience.
• Strong Python and Go development experience.
• Experience with SQL and NoSQL databases and data ingestion pipelines.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Collaborate with customers to understand environments, data flows, APIs, and security requirements for integration.

Conocimientos

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

CI/CD

Distributed systems

Customer-facing

Autonomy

Cloud platforms (AWS/Azure/GCP)

Git workflows

Herramientas

Git

Descripción del empleo

Darwoft is partnering with a cybersecurity-focused project to build and evolve a data ingestion platform. The Senior Data Engineer will design connectors, collectors, and ingestion services, interfacing with identity providers, cloud platforms, SIEMs, and security tools across enterprise environments.

This role requires strong data engineering and software engineering skills, plus experience with REST APIs, distributed systems, and cloud infrastructure.