Senior Data Engineer - Ingestion & Cloud Integrations (Remote)

Flux It; Ciudad de Mendoza; Remoto; ARS 185.448.000 - 278.173.000; Tempo pieno

Vantaggi offerti da questo lavoro

Contractor USD payment

Remote work 100%

Argentina's public holidays

English classes

Referral program

Learning platforms

Descrizione del lavoro

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a cybersecurity platform. You will design and implement scalable ingestion pipelines, connectors, and ingestion services while engaging directly with enterprise customers to understand data sources, security requirements, and integration constraints.

You will work across Python/Go backends, REST APIs, cloud environments (AWS/Azure/GCP), and containerized services with Docker and Kubernetes to

Competenze

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with 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 AWS, Azure, or GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.

Mansioni

• 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 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.

Conoscenze

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

Customer-facing

Formazione

10+ years of professional software/data/platform engineering

Strumenti

Git

CI/CD

Descrizione del lavoro

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors for a cybersecurity platform. You will design and implement scalable ingestion pipelines, connectors, and ingestion services while engaging directly with enterprise customers to understand data sources, security requirements, and integration constraints.

You will work across Python/Go backends, REST APIs, cloud environments (AWS/Azure/GCP), and containerized services with Docker and Kubernetes to