Senior Cloud Data Ingestion Engineer (Remote LATAM)

Ubq; Rosario; 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 collectors to serve as a technical bridge between enterprise customers and engineering. You will design scalable ingestion mechanisms, build connectors, and collaborate across teams to deliver reliable data pipelines in a cloud environment.

You will work with customers to understand data sources, security requirements, and APIs, then implement robust ingestion architectures using Python/Go and cloud-native

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with major cloud platforms (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• CI/CD practices and Git-based workflows.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and constraints.
• Participate in technical onboarding from discovery to deployment.
• Design scalable ingestion architectures for processing security events, logs, and telemetry.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP.
• Troubleshoot complex customer deployments across multiple layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as trusted technical advisor on data architecture and integration best practices.
• Identify recurring customer requirements and turn them into reusable connectors and platform capabilities.
• Contribute to product roadmap with real-world insights.
• Support production adoption and improve time-to-value for enterprise customers.
• Participate in occasional customer-facing sessions and onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion

Distributed systems

Cloud

Debugging

Customer-facing

CI/CD

Databases (SQL/NoSQL)

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve as a technical bridge between enterprise customers and engineering. You will design scalable ingestion mechanisms, build connectors, and collaborate across teams to deliver reliable data pipelines in a cloud environment.

You will work with customers to understand data sources, security requirements, and APIs, then implement robust ingestion architectures using Python/Go and cloud-native