Senior Data Ingestion Architect — 100% Remote

EPAM Systems Inc

Buenos Aires

Remote

ARS 120,727,000 - 189,714,000

Full time

2 days 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 is seeking a Senior Data Engineer (Python/Go) focused on data ingestion and integrations for a next-generation Identity Security platform. You will work remotely with LATAM or international teams, understanding customer environments and building scalable connectors and ingestion pipelines.

You will design and implement production-grade data collectors, deploy in cloud environments, and collaborate with solution architects and engineering teams to deliver secure, reliable integrations.

Qualifications

  • 10+ years in software/data engineering or related fields.
  • Experience with building data ingestion pipelines and integrations.
  • Proficiency in Python and Go.
  • Strong knowledge of SQL and NoSQL databases.
  • Cloud experience (AWS/Azure/GCP) and containerized deployments.

Responsibilities

  • Design, develop, and maintain data collectors and ingestion services.
  • Integrate enterprise data sources and APIs.
  • Collaborate with customers to understand environments and requirements.
  • Build scalable ingestion architectures processing high-volume data.
  • Deploy and operate services in Docker/Kubernetes and cloud environments.
  • Troubleshoot deployments and optimize performance.
  • Contribute to product roadmap with insights.

Skills

Python
Go
REST APIs
Data ingestion pipelines
SQL
NoSQL
CI/CD

Tools

Docker
Kubernetes
AWS
Azure
GCP
Git

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion and integrations for a next-generation Identity Security platform. You will work remotely with LATAM or international teams, understanding customer environments and building scalable connectors and ingestion pipelines.

You will design and implement production-grade data collectors, deploy in cloud environments, and collaborate with solution architects and engineering teams to deliver secure, reliable integrations.

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