Senior Data Engineer - Ingestion & Integrations (Remote)

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

Benefits offered by this job

Contractor agreement with USD payment

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 and integrations to join our cybersecurity project. You will design and implement scalable ingestion pipelines, connectors, and services, working closely with customers to translate complex data sources into reliable platform integrations.

You will use Python/Go, REST APIs, Docker, and Kubernetes across AWS, Azure, and GCP, collaborating with solution architects and engineering teams to accelerate time-to-value for enterprise

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong Python and Go programming experience.
• Experience designing and consuming REST APIs.
• 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 AWS, Azure, or GCP.
• Experience working with Docker and Kubernetes.
• Strong communication skills and customer-facing experience.

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, and other 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 high-volume 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 multiple layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

Tools

Docker

Kubernetes

CI/CD

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to join our cybersecurity project. You will design and implement scalable ingestion pipelines, connectors, and services, working closely with customers to translate complex data sources into reliable platform integrations.

You will use Python/Go, REST APIs, Docker, and Kubernetes across AWS, Azure, and GCP, collaborating with solution architects and engineering teams to accelerate time-to-value for enterprise