Senior Data Ingestion Engineer - Cloud Connectors AI Remote

Netrix Global; Neuquén; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

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 the engineering organization. This role emphasizes working with complex data sources, designing scalable ingestion pipelines, and building robust connectors.

You will collaborate with customers, architects, and product teams, developing backend services in Python and Go, and deploying across AWS, Azure, and GCP.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines or integration platforms.

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 technical onboarding processes from discovery to deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and telemetry.
• Build integrations using REST APIs, cloud 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 deployment and integration issues across layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as trusted technical advisor on data architecture, collection strategies, and security integrations.
• Identify recurring requirements and transform them into reusable connectors or platform improvements.
• Contribute technical insights to the product roadmap.
• Support production adoption and improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion

Connector frameworks

Enterprise integration

SQL/NoSQL

Cloud platforms

Docker/Kubernetes

CI/CD

Distributed systems

Customer-facing

Tools

Docker

Kubernetes

Job description

Darwoft seeks a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers and the engineering organization. This role emphasizes working with complex data sources, designing scalable ingestion pipelines, and building robust connectors.

You will collaborate with customers, architects, and product teams, developing backend services in Python and Go, and deploying across AWS, Azure, and GCP.