Senior Data Engineer: Data Ingestion & Integrations (Remote)

Sci Gestión; Neuquén; Remote; ARS 138,361,000 - 215,229,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote

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, connectors, and cloud integrations. You will work closely with enterprise customers to design scalable ingestion pipelines, understand data sources, security requirements, and workflows, and deliver reliable, production-grade solutions.

The role emphasizes collaboration across engineering, solution architecture, and customer success, with hands-on development in Python/Go and experience with cloud platforms such as AWS, Azure,

Qualifications

• 10+ years of professional software/ data engineering experience.
• Strong Python and Go development experience.
• Experience building data ingestion pipelines and integration platforms.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity, cloud, network, endpoints, and SIEM systems.
• Work with customers to understand environments, data flows, APIs, and security requirements.
• Deploy and operate scalable ingestion architectures for high-volume data sources.
• Build integrations using REST APIs, cloud-native services, and modern engineering practices.
• Collaborate with cross-functional teams to deliver reliable, scalable solutions.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Cloud platforms

CI/CD

Distributed systems

Customer-facing

Tools

Docker

Kubernetes

Git

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and cloud integrations. You will work closely with enterprise customers to design scalable ingestion pipelines, understand data sources, security requirements, and workflows, and deliver reliable, production-grade solutions.

The role emphasizes collaboration across engineering, solution architecture, and customer success, with hands-on development in Python/Go and experience with cloud platforms such as AWS, Azure,