Senior Data Ingestion Engineer - Cloud Platform (Remote)

Netrix Global; La Pampa; Hybrid; ARS 136,310,000 - 227,183,000; Full time

Benefits offered by this job

Contractor agreement with payment in美元

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking aSenior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers with the engineering team. You will design scalable ingestion pipelines, build connectors, and collaborate with customers to understand environments and data flows.

The role blends data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting, with a strong emphasis on reliability, security, and time-to-production.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.

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.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployment and integration issues across application, infrastructure, networking, API, and data layers.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around customer data architecture, collection strategies, security integrations, and implementation best practices.
• Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and continuously improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.

Skills

Python

Go

Data ingestion

REST APIs

SQL

NoSQL

Cloud platforms

Docker

Kubernetes

Customer engagement

Tools

Docker

Kubernetes

AWS

Azure

GCP

Git

Job description

Darwoft is seeking aSenior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge enterprise customers with the engineering team. You will design scalable ingestion pipelines, build connectors, and collaborate with customers to understand environments and data flows.

The role blends data engineering, software engineering, solution architecture, cloud infrastructure, and technical consulting, with a strong emphasis on reliability, security, and time-to-production.