Remote Senior Data Ingestion Engineer (Python/Go)

Agileengine, Llc.; Ciudad de Mendoza; Remote; ARS 169,108,000 - 245,976,000; Full time

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 focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization. This is not a traditional backend or internal data engineering role.

You’ll work directly with customers to understand their infrastructure, data sources, security architecture, APIs, and workflows, then design scalable ingestion pipelines and connectors using Python and Go, Docker, and cloud platforms.

Qualifications

• 10+ years of professional software/data engineering experience.
• Proficient in Python and Go.
• Strong REST API design and consumption experience.
• Experience building data ingestion pipelines and connectors.
• Experience with cloud platforms (AWS/Azure/GCP).

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources across identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Collaborate with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding, from discovery and architecture design through production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

CI/CD

Cloud

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to become a key technical bridge between enterprise customers and the engineering organization. This is not a traditional backend or internal data engineering role.

You’ll work directly with customers to understand their infrastructure, data sources, security architecture, APIs, and workflows, then design scalable ingestion pipelines and connectors using Python and Go, Docker, and cloud platforms.