Senior Cloud Data Ingestion Engineer - Remote (LATAM)

Ubq; Tandil; Remote; ARS 154,540,000 - 247,265,000; 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 is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and connectors for a cybersecurity identity platform. You will collaborate with customers to understand their data sources, security requirements, and APIs, then design scalable ingestion pipelines that feed the platform.

You will work across cloud environments (AWS/Azure/GCP), build robust data collectors, and help shape product capabilities while delivering reliable, high-volume data processing for

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, 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.
• Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
• Experience working directly with customers, stakeholders, or technical partners.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments and data flows.
• Participate in technical onboarding from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, and network telemetry.
• Build integrations using REST APIs, cloud-native services, and event-driven architectures.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store 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 deployments across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around customer data architecture and security integrations.
• Identify recurring customer requirements and transform them into reusable connectors or platform improvements.
• Contribute technical insights from real-world implementations 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

SQL

NoSQL

AWS

Azure

GCP

Docker

Kubernetes

CI/CD

Git

Tools

Docker

Kubernetes

CI/CD

Git

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and connectors for a cybersecurity identity platform. You will collaborate with customers to understand their data sources, security requirements, and APIs, then design scalable ingestion pipelines that feed the platform.

You will work across cloud environments (AWS/Azure/GCP), build robust data collectors, and help shape product capabilities while delivering reliable, high-volume data processing for