Senior Data Ingestion Engineer - Remote (LATAM)

Coder Technologies Inc.; Municipio de Rincón de los Sauces; Remote; ARS 169,994,000 - 247,265,000; Full time

Benefits offered by this job

Contractor agreement with payment in

Job summary

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join our 100% remote LATAM team. You will work directly with enterprise customers, design scalable ingestion pipelines, and build connectors across AWS, Azure, and GCP.

The role blends data engineering, software engineering, and technical consulting in a cybersecurity-focused product environment. You will develop backend services in Python and Go, implement connectors, and ensure reliable, secure

Qualifications

• 10+ years of professional software/data engineering or related experience.
• Proficient in Python and Go.
• Experience designing and consuming REST APIs.
• Experience building data ingestion pipelines and integration platforms.
• Strong SQL and NoSQL databases knowledge.
• Production experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Ability to work directly with customers and translate requirements to technical solutions.
• CI/CD practices and Git-based workflows.

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 processes from discovery to 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

SQL

NoSQL

Docker

Kubernetes

CI/CD

AWS

Azure

GCP

Distributed systems

Customer-facing

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join our 100% remote LATAM team. You will work directly with enterprise customers, design scalable ingestion pipelines, and build connectors across AWS, Azure, and GCP.

The role blends data engineering, software engineering, and technical consulting in a cybersecurity-focused product environment. You will develop backend services in Python and Go, implement connectors, and ensure reliable, secure