Senior Azure Cloud Data Ingestion Engineer (Remote)

Atmosera; Neuquén; Remote; ARS 185,819,000 - 278,728,000; Full time

Benefits offered by this job

Contractor agreement with USD payments

100% remote work

Argentina holidays

English classes

Referral program

Learning platform access

Job summary

Darwoft is seeking a Senior Data Engineer specialized in data ingestion, integrations, and connectors to serve enterprise clients in a remote LATAM setting. You will bridge customer environments and the engineering team, building scalable ingestion pipelines and connectors across complex enterprise ecosystems.

You will collaborate with Identity Security and cybersecurity initiatives, leveraging Python/Go, REST APIs, and cloud platforms to deliver reliable, scalable data pipelines while ensuring

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Excellent Python and Go programming skills.
• Strong experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.
• Solid SQL and NoSQL database knowledge.
• Experience with Docker and Kubernetes in production.
• Production experience on AWS, Azure, or GCP.
• Familiarity with CI/CD practices and Git workflows.
• Experience building scalable, distributed systems.
• Ability to engage with customers and translate requirements into technical solutions.

Responsibilities

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, and security systems.
• Collaborate with customers to understand environments and integration constraints.
• Develop scalable ingestion architectures for high-volume data like security events and logs.
• Build integrations using REST APIs, cloud-native services, and event-driven patterns.
• Deploy and operate containerized services using Docker and Kubernetes.
• Work across AWS, Azure, and GCP environments and troubleshoot deployments.
• Improve ingestion performance, reliability, and security across data pipelines.
• Contribute to product roadmap with insights from implementations.
• Participate in customer-facing sessions and onsite engagements as needed.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

CI/CD

AWS

Azure

GCP

Distributed systems

Customer facing

Tools

Docker & Kubernetes

Cloud platforms

Job description

Darwoft is seeking a Senior Data Engineer specialized in data ingestion, integrations, and connectors to serve enterprise clients in a remote LATAM setting. You will bridge customer environments and the engineering team, building scalable ingestion pipelines and connectors across complex enterprise ecosystems.

You will collaborate with Identity Security and cybersecurity initiatives, leveraging Python/Go, REST APIs, and cloud platforms to deliver reliable, scalable data pipelines while ensuring