Remote Senior Data Ingestion Engineer (Python/Go, Cloud)

Agileengine, Llc.

Ciudad de Mendoza

Remote

ARS 138,361,000 - 199,855,000

Full time

2 days ago
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Benefits offered by this job

Contractor agreement with payment in U
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, connectors, and ingestion pipelines to serve a cybersecurity platform for LATAM customers. You will engage with enterprise customers, understand data sources, and implement scalable ingestion solutions using Python/Go.

The role blends data engineering, software engineering, and cloud architecture, with a strong emphasis on reliability, security, and time-to-value for clients. Remote, full-time, LATAM region.

Qualifications

  • 10+ years of professional software/data/related experience.
  • Strong Python and Go programming experience.
  • Experience building data ingestion pipelines and connectors.
  • Experience cloud proficiency with AWS/Azure/GCP.

Responsibilities

  • Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
  • Integrate enterprise data sources including identity, cloud, network, and security platforms.
  • Collaborate with customers to understand environments, data flows, and integration constraints.
  • Develop scalable ingestion architectures for high-volume security data and logs.
  • Deploy and operate Docker/Kubernetes-based services across cloud environments.
  • Work with SQL/NoSQL databases to store, transform, and query data.

Skills

Python
Go
REST APIs
CI/CD
Customer-facing communication

Tools

Docker
Kubernetes
SQL
NoSQL

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and ingestion pipelines to serve a cybersecurity platform for LATAM customers. You will engage with enterprise customers, understand data sources, and implement scalable ingestion solutions using Python/Go.

The role blends data engineering, software engineering, and cloud architecture, with a strong emphasis on reliability, security, and time-to-value for clients. Remote, full-time, LATAM region.

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