Senior Data Ingestion Engineer - Cloud Connectors (Remote)

Netrix Global

Neuquén

Remote

ARS 138,361,000 - 215,229,000

Full time

2 days ago
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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 focused on data ingestion, connectors, and integrations for a cybersecurity platform. You will work remotely with LATAM-based teams, collaborating with customers to ingest data from diverse sources into a scalable data platform using Python/Go

You will design and implement robust ingestion pipelines, build reusable connectors, and ensure reliability, security, and time-to-production across AWS, Azure, and GCP environments.

Qualifications

  • Over 10 years in software/data/ platform engineering.

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 and SIEM systems.
  • Work with customers to understand environments, data flows, security requirements, and integration constraints.
  • Deploy and operate ingestion architectures for processing security events, logs, identity activity, and high-volume data.
  • Build integrations using REST APIs, cloud services, event-driven architectures, and modern software practices.
  • Develop backend services using Python and/or Go; work with SQL and NoSQL databases.
  • Operate containerized services using Docker and Kubernetes; deploy across AWS/Azure/GCP.
  • Troubleshoot complex deployment issues across APIs, infra, networking, and data layers.

Skills

Python
Go
REST APIs
Data ingestion pipelines
SQL
NoSQL
Docker
Kubernetes
CI/CD
Cloud (AWS/Azure/GCP)
Customer-facing

Tools

AWS
Azure
GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations for a cybersecurity platform. You will work remotely with LATAM-based teams, collaborating with customers to ingest data from diverse sources into a scalable data platform using Python/Go

You will design and implement robust ingestion pipelines, build reusable connectors, and ensure reliability, security, and time-to-production across AWS, Azure, and GCP environments.

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