Senior Data Engineer – Ingest & Integrations (Remote LATAM)

Taswiq4me; La Pampa; Remote; ARS 185,448,000 - 293,627,000; Full time

Benefits offered by this job

Contractor agreement with payment in美元

Job summary

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join our Enterprise team. You will design scalable ingestion pipelines, work directly with customers to map data sources, and build connectors across AWS, Azure, and GCP, using Python and Go.

This 100% remote role in LATAM requires strong SQL/NoSQL experience, Docker/Kubernetes, and a passion for security data.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Proficiency in Python and Go.
• 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 both SQL and NoSQL databases.
• Production experience with at least one major cloud platform: AWS, Azure, or GCP.
• Experience working with Docker and Kubernetes.
• Strong CI/CD practices knowledge.
• Experience working directly with customers, stakeholders, or technical partners.

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 and architecture design through 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 onsite engagements.

Skills

Python

Go

REST APIs

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to join our Enterprise team. You will design scalable ingestion pipelines, work directly with customers to map data sources, and build connectors across AWS, Azure, and GCP, using Python and Go.

This 100% remote role in LATAM requires strong SQL/NoSQL experience, Docker/Kubernetes, and a passion for security data.