Senior Data Ingestion & Integrations Engineer - Remote

Boehringer Ingelheim Gmbh; Buenos Aires; A distancia; ARS 139.086.000 - 200.903.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor payment in USD

100% remote

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer (Python/Go) for a data ingestion and integration role in a remote LATAM setup. You will connect enterprise data sources, design scalable collectors, and work directly with customers to map data workflows and security requirements.

You will collaborate across engineering, solution architects, and customer success to deliver reliable ingestion pipelines, pragmatic adapters, and production-ready services in cloud environments.

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with cloud platforms (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• Strong Git-based development and CI/CD practices.

Responsabilidades

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, and SIEM systems.
• Work with customers to understand environments, data flows, APIs, and constraints; design scalable ingestion architectures.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices.
• Develop backend services using Python and/or Go and work with SQL/NoSQL databases.
• Operate containerized services using Docker and Kubernetes and deploy across AWS, Azure, and GCP.

Conocimientos

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms

Herramientas

AWS

Azure

GCP

Docker

Kubernetes

Descripción del empleo

Darwoft is seeking a Senior Data Engineer (Python/Go) for a data ingestion and integration role in a remote LATAM setup. You will connect enterprise data sources, design scalable collectors, and work directly with customers to map data workflows and security requirements.

You will collaborate across engineering, solution architects, and customer success to deliver reliable ingestion pipelines, pragmatic adapters, and production-ready services in cloud environments.