Senior Data Engineer — Remote Ingestion & Integrations

BairesDev

Neuquén

Remote

ARS 107,614,000 - 184,482,000

Full time

2 days ago
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Benefits offered by this job

Remote role
Competitive compensation
High-visibility role
Impact on education/nonprofit clients
Collaborative culture

Job summary

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a cybersecurity/identity platform. You will work with customers to ingest data from diverse enterprise sources, build scalable pipelines, and deploy across AWS/Azure/GCP.

The role emphasizes Python/Go, dbt-style transformations, and cross-team collaboration. The role offers 100% remote work with LATAM focus, competitive compensation, and high-visibility impact on enterprise security data

Qualifications

  • 10+ years of professional Software/Data/Platform Engineering experience.
  • Strong Python and Go development skills.
  • Experience building data ingestion pipelines and integration platforms.
  • Experience with REST APIs and enterprise data sources.
  • Solid SQL and NoSQL database knowledge.
  • Experience with Docker and Kubernetes in production.
  • CI/CD practices and Git workflows.

Responsibilities

  • Design, develop, and maintain production-grade data collectors and ingestion services.
  • Integrate enterprise data sources including identity providers and cloud platforms.
  • Work directly with customers to understand environments and constraints.
  • Design scalable ingestion architectures for high-volume data sources.
  • Build integrations using REST APIs and cloud-native services.
  • Develop backend services using Python and/or Go.

Skills

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

Tools

Docker
Kubernetes
Git
CI/CD tools

Job description

Darwoft is hiring a Senior Data Engineer focused on data ingestion, integrations, and collectors for a cybersecurity/identity platform. You will work with customers to ingest data from diverse enterprise sources, build scalable pipelines, and deploy across AWS/Azure/GCP.

The role emphasizes Python/Go, dbt-style transformations, and cross-team collaboration. The role offers 100% remote work with LATAM focus, competitive compensation, and high-visibility impact on enterprise security data

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