Remote Senior Data Ingestion Engineer (Python/Go)

Coder Technologies Inc.; Ciudad de Mendoza; Remote; ARS 185,448,000 - 278,173,000; Full time

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 seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will collaborate with customers to design scalable ingestion pipelines, build connectors, and ensure reliability across cloud environments.

You will work with Python/Go, REST APIs, and modern data architectures, delivering production-grade ingestion services while coordinating with cross-functional teams to optimize time-to-value for enterprise clients.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering or related experience.
• Proficient in Python and Go.
• Strong REST API experience.
• Experienced with data ingestion pipelines and integration platforms.
• Experience with SQL and NoSQL databases.
• Production cloud experience (AWS/Azure/GCP).
• Docker and Kubernetes expertise and CI/CD practices.

Responsibilities

• Design, develop, and maintain production-grade data collectors and ingestion services.
• Integrate diverse enterprise data sources including identity providers, cloud platforms, and security systems.
• Collaborate with customers to understand environments and constraints for integration.
• Lead technical onboarding from discovery to production deployment.
• Build scalable ingestion architectures for high-volume data sources.

Skills

Python

Go

REST APIs

Data ingestion

Cloud

SQL

NoSQL

Docker

Kubernetes

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors. You will collaborate with customers to design scalable ingestion pipelines, build connectors, and ensure reliability across cloud environments.

You will work with Python/Go, REST APIs, and modern data architectures, delivering production-grade ingestion services while coordinating with cross-functional teams to optimize time-to-value for enterprise clients.