Remote Senior Data Engineer - Ingest & Integrations

EPAM Systems Inc

La Pampa

Remote

ARS 185,448,000 - 262,719,000

Full time

3 days ago
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Benefits offered by this job

USD payment
Remote work
Argentina holidays
English classes
Referral program
Learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer (Python/Go) to design and implement robust data ingestion, connectors, and ingestion pipelines for a cybersecurity platform. You will work directly with customers to understand data sources, architectures, and security requirements, delivering scalable, reliable solutions.

The role combines data engineering, software engineering, and cloud expertise in a fully remote LATAM setting, engaging with cutting-edge identity security projects and enterprise

Qualifications

  • 10+ years of professional software/data/platform engineering or similar experience.
  • Strong Python and Go development experience.
  • Experience designing and consuming REST APIs.
  • Hands-on data ingestion pipelines or integration platforms.
  • Experience with SQL and NoSQL databases.
  • Production cloud experience (AWS/Azure/GCP).
  • Experience with Docker and Kubernetes.

Responsibilities

  • Design, develop, and maintain data collectors, connectors, and ingestion services.
  • Integrate enterprise data sources and ecosystems.
  • Collaborate with customers to understand environments and constraints.
  • Develop scalable ingestion architectures for high-volume data.
  • Build, deploy, and operate containerized services in cloud environments.
  • Troubleshoot deployments and optimize performance and reliability.
  • Contribute to product roadmap with real-world insights.

Skills

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

Tools

Docker
Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) to design and implement robust data ingestion, connectors, and ingestion pipelines for a cybersecurity platform. You will work directly with customers to understand data sources, architectures, and security requirements, delivering scalable, reliable solutions.

The role combines data engineering, software engineering, and cloud expertise in a fully remote LATAM setting, engaging with cutting-edge identity security projects and enterprise

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