Senior Data Ingestion Engineer - Remote Cloud Integrations

Netrix Global; Neuquén; Remote; ARS 90,873,000 - 181,747,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentine holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integration pipelines to join our Identity Security / cybersecurity project. You will work directly with customers to understand data sources, security requirements, and workflows, then build scalable ingestion solutions in Python and Go.

You’ll collaborate across product, engineering, and solution architecture to deploy Docker/Kubernetes-based services 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.
• Strong 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 at least one major cloud platform: AWS, Azure, or GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.

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, 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 network 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 environments.
• Troubleshoot complex customer deployment and integration issues across layers.

Skills

Python

Go

REST APIs

Data ingestion

CI/CD

Docker

Kubernetes

SQL

NoSQL

AWS

Azure

GCP

Tools

Docker

Kubernetes

CI/CD

REST APIs

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integration pipelines to join our Identity Security / cybersecurity project. You will work directly with customers to understand data sources, security requirements, and workflows, then build scalable ingestion solutions in Python and Go.

You’ll collaborate across product, engineering, and solution architecture to deploy Docker/Kubernetes-based services across AWS, Azure, and GCP.