Senior Data Ingestion Engineer - Remote LATAM

Agileengine, Llc.

Quilmes

Remote

ARS 185,448,000 - 278,173,000

Full time

47 hours ago
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Benefits offered by this job

Contractor agreement with payment in $
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms

Job summary

Darwoft, a Latin American software partner, is seeking a Senior Data Engineer focused on data ingestion, connectors, and integration services for a cybersecurity platform. You will work closely with enterprise customers to understand data sources, security requirements, and APIs, then design scalable ingestion solutions in cloud environments.

You will implement backend components in Python and Go, build and operate Docker/Kubernetes deployments, and collaborate with solution architects and

Qualifications

  • 10+ years in software/data engineering or related fields.
  • Strong Python and Go development experience.
  • Proven ability to design scalable data ingestion and integration systems.
  • Experience with cloud platforms (AWS/Azure/GCP) and containers.
  • Comfortable working with customers to gather requirements.

Responsibilities

  • Design and maintain data collectors, connectors, and ingestion services.
  • Integrate enterprise data sources and security platforms.
  • Collaborate with customers to understand data flows and requirements.
  • Develop backend services using Python and Go.
  • Build and operate Docker/Kubernetes-based deployments.
  • Deploy solutions across AWS, Azure, GCP.
  • Troubleshoot deployments and optimize ingestion performance.

Skills

Python
Go
REST APIs
Data ingestion pipelines
Cloud platforms
Docker
Kubernetes
SQL & NoSQL
CI/CD
Customer-facing collaboration
Distributed systems

Job description

Darwoft, a Latin American software partner, is seeking a Senior Data Engineer focused on data ingestion, connectors, and integration services for a cybersecurity platform. You will work closely with enterprise customers to understand data sources, security requirements, and APIs, then design scalable ingestion solutions in cloud environments.

You will implement backend components in Python and Go, build and operate Docker/Kubernetes deployments, and collaborate with solution architects and

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