Senior Data Engineer — Ingestion & Integrations (Remote LATAM)

Rm Staffing B.V.; Municipio de Juan José Castelli; Remote; ARS 139,086,000 - 200,903,000; 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 is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to bridge enterprise customers with the engineering team. You will design scalable ingestion mechanisms, build connectors, and ensure reliable data pipelines in complex environments.

Expected to work with Python/Go, REST APIs, cloud platforms, and containerized services, while collaborating with architects, sales engineering, and customer success teams to deliver value.

Qualifications

• 10+ years of professional software, data, or platform engineering.
• Proficient with Python and Go for backend data pipelines.
• Experience designing and consuming REST APIs and data ingestion pipelines.
• Hands-on with cloud platforms (AWS, Azure, GCP) and databases (SQL/NoSQL).
• Experience with Docker, Kubernetes, and CI/CD workflows in customer-focused environments.

Responsibilities

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and networks.
• Work directly with customers to understand environments, data flows, and APIs.
• Design scalable ingestion architectures for high-volume data, security events, and logs.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services in Python and/or Go and work with SQL/NoSQL databases.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

SQL

NoSQL

Docker

Kubernetes

Customer-facing

Tools

Docker

Kubernetes

CI/CD

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to bridge enterprise customers with the engineering team. You will design scalable ingestion mechanisms, build connectors, and ensure reliable data pipelines in complex environments.

Expected to work with Python/Go, REST APIs, cloud platforms, and containerized services, while collaborating with architects, sales engineering, and customer success teams to deliver value.