Senior Data Ingestion Engineer – Remote LATAM

Caramel Point; Rosario; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

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Job summary

Darwoft is seeking a Senior Data Engineer with a strong focus on data ingestion and connectors for an Identity Security platform. You will engage with enterprise customers to understand data sources, security requirements and APIs, designing scalable ingestion mechanisms that feed a data-intensive backend.

You will combine data engineering, software engineering, cloud infrastructure, and technical consulting to deliver reliable, scalable solutions across AWS, Azure, and GCP.

Qualifications

• 10+ years of professional Software/ Data Engineering or related experience.
• Proficient in Python and Go.
• Experience building data ingestion pipelines and integration platforms.
• Strong SQL and NoSQL database skills.
• Cloud experience with AWS, Azure, or GCP and containerization with Docker/Kubernetes.
• Customer-facing collaboration and strong communication.

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 with enterprise customers to understand environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery to production deployment.
• 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.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• 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

REST APIs

Data ingestion pipelines

Docker

Kubernetes

SQL

NoSQL

Cloud platforms

CI/CD

Customer-facing communication

Tools

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer with a strong focus on data ingestion and connectors for an Identity Security platform. You will engage with enterprise customers to understand data sources, security requirements and APIs, designing scalable ingestion mechanisms that feed a data-intensive backend.

You will combine data engineering, software engineering, cloud infrastructure, and technical consulting to deliver reliable, scalable solutions across AWS, Azure, and GCP.