Senior Data Ingestion Engineer — Remote (LATAM)

Baker Hughes Company; Municipio de Rincón de los Sauces; A distancia; ARS 136.732.000 - 227.887.000; 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 seeks a Senior Data Engineer (Remote, LATAM) to own data ingestion and integration work for an Identity Security platform. You will architect and implement scalable collectors, collaborate with customers, and bridge engineering with enterprise data sources across cloud environments.

You will leverage Python/Go, REST APIs, and distributed systems expertise to deliver reliable data pipelines in a 100% remote LATAM setting.

Formación

• 10+ years in software or data engineering or related fields.
• Proven experience building data ingestion pipelines and connectors.
• Strong debugging and problem-solving in enterprise contexts.
• Direct customer-facing collaboration and strong communication.

Responsabilidades

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Work with customers to understand environments, data flows, APIs, and constraints.
• Design scalable ingestion architectures for high-volume data like events and logs.
• Build integrations using REST APIs, cloud services, and event-driven patterns.
• Develop backend services with Python and/or Go; use SQL/NoSQL databases.
• Operate containerized services with Docker and Kubernetes; deploy on AWS/Azure/GCP.

Conocimientos

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

CI/CD

Distributed systems

Customer-facing

Herramientas

AWS

Azure

GCP

Descripción del empleo

Darwoft seeks a Senior Data Engineer (Remote, LATAM) to own data ingestion and integration work for an Identity Security platform. You will architect and implement scalable collectors, collaborate with customers, and bridge engineering with enterprise data sources across cloud environments.

You will leverage Python/Go, REST APIs, and distributed systems expertise to deliver reliable data pipelines in a 100% remote LATAM setting.