Remote Senior Data Ingestion Engineer (Python/Go)

Netrix Global

Ciudad de Mendoza

Remote

ARS 185,819,000 - 278,728,000

Full time

5 days ago
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Benefits offered by this job

Contractor payment in USD
100% remote
Argentina holidays
English classes
Referral program
Learning platforms access

Job summary

Darwoft is partnering with an innovative cybersecurity client to deliver a Senior Data Engineer role focused on data ingestion, connectors, and integration pipelines. You will collaborate with customers to design scalable ingestion architectures, work across cloud environments, and drive production-ready data solutions.

You will design and implement data collectors, ensure reliability and security, and contribute to platform improvements based on real-world deployments.

Qualifications

  • 10+ years of professional Software Engineering or Data/Platform Engineering.
  • Strong software development with Python and Go.

Responsibilities

  • Design, develop, and maintain data collectors, connectors, and ingestion services.
  • Integrate enterprise data sources including identity providers, cloud platforms, SASE, network infrastructure, endpoints, applications and SIEM systems.
  • Collaborate with customers to understand environments and data flows, APIs, and security requirements.
  • Develop backend services using Python and/or Go and work with SQL/NoSQL databases.
  • Build and operate Docker and Kubernetes-based containerized services.

Skills

Python
Go
REST APIs
SQL
NoSQL
CI/CD
Data Ingestion
Data pipelines
Docker
Kubernetes
Cloud platforms

Tools

AWS
Azure
GCP
Docker
Kubernetes

Job description

Darwoft is partnering with an innovative cybersecurity client to deliver a Senior Data Engineer role focused on data ingestion, connectors, and integration pipelines. You will collaborate with customers to design scalable ingestion architectures, work across cloud environments, and drive production-ready data solutions.

You will design and implement data collectors, ensure reliability and security, and contribute to platform improvements based on real-world deployments.

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