Remote Senior Data Ingestion Engineer—Python/Go

Netrix Global; La Pampa; Remote; ARS 108,394,000 - 170,334,000; Full time

Benefits offered by this job

Payment in USD

100% remote

Argentina holidays

English classes

Referral program

Learning platforms

Job summary

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a 100% remote LATAM team. You will design scalable ingestion pipelines and connectors, collaborating closely with customers and the engineering group.

You'll work with Python and Go, REST APIs, and cloud platforms (AWS/Azure/GCP) to ingest, store, and analyze high-volume data, enabling secure, reliable data flows for Identity Security projects.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, or related experience.
• Proficiency in Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Strong SQL and NoSQL knowledge.
• Production cloud experience (AWS/Azure/GCP).
• Experience with Docker and Kubernetes; CI/CD practices.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources across identity, cloud, network, and security platforms.
• Work with customers to understand environments, data flows, and APIs; implement scalable ingestion solutions.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy across AWS, Azure, and GCP; optimize performance and reliability.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Cloud platforms

Docker

Kubernetes

AWS

Azure

GCP

Git

CI/CD

Distributed systems

Tools

Docker

Kubernetes

Git

Job description

Darwoft seeks a Senior Data Engineer focused on data ingestion, integrations, and collectors to join a 100% remote LATAM team. You will design scalable ingestion pipelines and connectors, collaborating closely with customers and the engineering group.

You'll work with Python and Go, REST APIs, and cloud platforms (AWS/Azure/GCP) to ingest, store, and analyze high-volume data, enabling secure, reliable data flows for Identity Security projects.