Senior Data Ingestion Engineer - Cloud Integrations Remote

Talan; Rosario; Remote; ARS 108,178,000 - 216,357,000; Full time

Benefits offered by this job

Payment in USD

Remote work

Argentina's public holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve as a technical bridge between enterprise customers and the engineering team. This role blends data engineering, software engineering, and cloud architecture in a remote setting.

You will design scalable ingestion pipelines, work with Python and Go, and collaborate with customers to understand data sources, security requirements, and API constraints, delivering reliable, production-grade

Qualifications

• 10+ years of professional software/data engineering/ platform experience.
• Proficient in Python and Go with REST API design.
• Experience building data ingestion pipelines, connector frameworks, or integration platforms.
• Experience integrating complex enterprise systems and cloud platforms.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE solutions, network infrastructure, endpoints, applications, security platforms, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding from discovery and architecture to deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP.
• Troubleshoot customer deployments across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor on data architecture and implementation best practices.
• Identify recurring requirements and transform them into reusable connectors or platform capabilities.
• Contribute insights to product roadmap and improve time-to-value for customers.
• Support production adoption and occasional customer-facing sessions onsite if needed.

Skills

Python

Go

REST APIs

Data ingestion

Distributed systems

CI/CD

Docker

Kubernetes

SQL

NoSQL

Customer-facing

Tools

AWS

Azure

GCP

Okta

CrowdStrike

Zscaler

Palo Alto

Microsoft Defender

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to serve as a technical bridge between enterprise customers and the engineering team. This role blends data engineering, software engineering, and cloud architecture in a remote setting.

You will design scalable ingestion pipelines, work with Python and Go, and collaborate with customers to understand data sources, security requirements, and API constraints, delivering reliable, production-grade