Senior Data Ingestion Architect - Remote (LATAM)

Agileengine, Llc.

Tandil

Remote

ARS 185,448,000 - 247,265,000

Full time

4 days ago
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Benefits offered by this job

Contractor agreement with payment in 0
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, integrations, and collectors to bridge enterprise customers with engineering. You will design scalable ingestion pipelines, work with diverse data sources and cloud environments, and collaborate with customers to ensure reliable, secure data flows.

The role emphasizes Python/Go backend development, REST APIs, and distributed systems, with 100% remote work in LATAM and strong emphasis on security data processing.

Qualifications

  • 10+ years in software, data, or platform engineering.
  • Proficient in Python and Go.
  • Experience with data ingestion pipelines and integrations.
  • Strong SQL/NoSQL knowledge and cloud platforms (AWS/Azure/GCP).

Responsibilities

  • Design, develop, and maintain data collectors and ingestion services.
  • Integrate enterprise data sources including identity providers and cloud platforms.
  • Work with customers to understand environments and data flows.
  • Architect scalable ingestion for security events and logs.
  • Build integrations using REST APIs and cloud-native services.
  • Develop backend services in Python and/or Go.
  • Operate containerized services with Docker and Kubernetes.
  • Deploy solutions across AWS, Azure, and GCP.
  • Troubleshoot deployment and integration issues across layers.
  • Collaborate with cross-functional teams.

Skills

Python
Go
REST APIs
Data ingestion
SQL/NoSQL
Cloud platforms
Docker
Kubernetes
CI/CD
Customer-facing

Tools

Docker
Kubernetes
CI/CD tools

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with engineering. You will design scalable ingestion pipelines, work with diverse data sources and cloud environments, and collaborate with customers to ensure reliable, secure data flows.

The role emphasizes Python/Go backend development, REST APIs, and distributed systems, with 100% remote work in LATAM and strong emphasis on security data processing.

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