Senior Data Engineer: Ingest & Cloud Integrations (Remote)

Rm Staffing B.V.; Municipio de Rincón de los Sauces; Remote; ARS 185,331,000 - 262,552,000; Full time

Benefits offered by this job

Contractor agreement with payment in $

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft seeks a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers and engineering teams. You’ll design scalable ingestion mechanisms, build connectors, and implement reliable pipelines using Python/Go, REST APIs, and cloud services.

You’ll work with customers to map data sources, security requirements, and workflows, delivering production-grade solutions and assisting with onboarding, deployment, and ongoing optimization in a remote LATAM

Qualifications

• 10+ years of professional Software/Data/Platform engineering experience.
• Strong software development with Python and Go.
• Experience designing data ingestion pipelines and integrations.
• Hands-on with SQL and NoSQL databases and cloud platforms (AWS/Azure/GCP).
• Experience with containers and CI/CD practices.

Responsibilities

• Design, build, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and security systems.
• Collaborate with customers to understand environments and translate requirements into scalable ingestion solutions.
• Build and operate containerized services using Docker and Kubernetes across AWS/Azure/GCP.
• Support deployment, onboarding, and time-to-value for enterprise clients.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

AWS

Azure

GCP

Tools

Docker

Kubernetes

Job description

Darwoft seeks a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers and engineering teams. You’ll design scalable ingestion mechanisms, build connectors, and implement reliable pipelines using Python/Go, REST APIs, and cloud services.

You’ll work with customers to map data sources, security requirements, and workflows, delivering production-grade solutions and assisting with onboarding, deployment, and ongoing optimization in a remote LATAM