Remote Senior Data Ingestion Engineer (LATAM)

Baker Hughes Company; Rosario; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve enterprise customers in a fully remote LATAM role. You will design scalable ingestion pipelines, integrate diverse data sources, and collaborate with customers and engineering to deliver reliable solutions.

The role blends data engineering, software engineering, and solution architecture across AWS/Azure/GCP, Python/Go, and containerized services, emphasizing security data and rapid value

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Proficiency in Python and Go.
• Experience with data ingestion pipelines and integration platforms.
• Experience with cloud providers (AWS/Azure/GCP).
• Ability to work directly with customers and translate requirements into technical solutions.

Responsibilities

• 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.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in onboarding processes from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, and identity activity.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

CI/CD

Git

Tools

CI/CD tooling

APIs

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve enterprise customers in a fully remote LATAM role. You will design scalable ingestion pipelines, integrate diverse data sources, and collaborate with customers and engineering to deliver reliable solutions.

The role blends data engineering, software engineering, and solution architecture across AWS/Azure/GCP, Python/Go, and containerized services, emphasizing security data and rapid value