Senior Data Engineer - Ingestion & Integrations (Remote)

Arionkoder; Neuquén; Remote; ARS 184,482,000 - 276,723,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote

Argentine holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to act as a bridge between enterprise customers and the engineering team. You will design scalable ingestion pipelines using Python and Go, build connectors, and deploy on AWS/Azure/GCP in a 100% remote LATAM environment.

You will work directly with customers to understand data sources, security requirements, and workflows, delivering reliable, scalable data flows and contributing to product

Qualifications

• 10+ years in Software/Data/Platform Engineering or related field.
• Strong Python and Go programming experience.
• Experience designing robust data ingestion pipelines and connectors.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE, 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 high-volume data sources.
• 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 data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployment and integration issues across layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as trusted technical advisor around data architecture and integration best practices.
• Identify recurring customer requirements and transform them into reusable connectors and platform improvements.
• Contribute insights to the product roadmap.
• Support production adoption and time-to-value for enterprises.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

SQL

NoSQL

Cloud platforms

CI/CD

Tools

AWS

Azure

GCP

Git

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to act as a bridge between enterprise customers and the engineering team. You will design scalable ingestion pipelines using Python and Go, build connectors, and deploy on AWS/Azure/GCP in a 100% remote LATAM environment.

You will work directly with customers to understand data sources, security requirements, and workflows, delivering reliable, scalable data flows and contributing to product