Ingeniero De Datos

🚀 143L · Senior Data Engineer (Python/Go/Data Ingestion/Cloud) · Remote · LATAM
At Darwoft, we’re looking for a Senior Data Engineer to join a highly technical international project in the Cybersecurity / Identity Security space.
You’ll be working on a next-generation platform designed to help enterprise security teams understand how users, service accounts, applications, workloads, and AI-driven identities interact with cloud, SaaS, network, endpoint, and on-premise environments.
This is a highly data-intensive environment where the platform collects and analyzes large volumes of events, logs, network telemetry, identity activity, and security signals to detect unusual access patterns, infrastructure risks, security gaps, and potential threats.
This is not a traditional internal Data Engineering role.
We’re looking for someone who can combine Data Engineering, Software Engineering, Cloud Infrastructure, Integrations, and Customer-facing technical work to design and build reliable ingestion mechanisms for complex enterprise environments.
What You’ll Be Working OnYou’ll play a key role in designing and evolving data collectors, connectors, and ingestion services that bring information from multiple enterprise systems into the platform.
Your responsibilities will include:Designing and building production-grade data ingestion pipelines, connectors, and collectorsIntegrating enterprise systems, cloud environments, APIs, security tools, and identity platformsProcessing high-volume data sources such as security events, logs, identity activity, audit data, and network telemetryDeveloping backend and integration services using Python and/or GoDesigning and consuming REST APIsWorking with both SQL and NoSQL databasesBuilding and operating containerized services using Docker and KubernetesDeploying and integrating solutions across AWS, Azure, and GCPTroubleshooting complex issues across APIs, networking, infrastructure, applications, and data pipelinesImproving ingestion performance, scalability, reliability, and operational efficiencyCollaborating with Engineering, Solution Architecture, Customer Success, Product, and other technical teamsWorking directly with enterprise customers to understand their infrastructure, technical constraints, security architecture, and data flowsTurning recurring customer requirements into reusable connectors, integrations, or platform capabilities
What We’re Looking ForWe’re looking for a highly experienced engineer with a strong technical background and the ability to operate independently in complex environments.Ideally, you bring:8+ years of professional experience in Software Engineering, Data Engineering, Platform Engineering, or similar rolesStrong hands-on development experience with Python and/or GoExperience building data ingestion pipelines, connector frameworks, integration platforms, or distributed servicesStrong experience designing and consuming REST APIsSolid knowledge of both SQL and NoSQLProduction experience with at least one major cloud platform: AWS, Azure, or GCPExperience with Docker and KubernetesStrong understanding of Git workflows and CI/CDExperience designing reliable, scalable, production-ready distributed systemsStrong debugging capabilities across application, infrastructure, networking, API, and data layersExperience integrating third-party platforms or complex enterprise systemsAbility to translate ambiguous business and technical requirements into practical engineering solutionsStrong communication skills and comfort working directly with technical stakeholders or customersEnglish level B2 / C1
Highly Relevant BackgroundExperience in any of these areas will be especially valuable:Identity and Access Management (IAM)Identity Providers and authentication systemsIdentity SecurityCybersecurity platformsSIEM systemsSecurity telemetryEndpoint securityNetwork securitySASE / Zero TrustCloud securityLarge-scale event processingStreaming or event-driven architectures
Experience integrating technologies such as Microsoft Entra ID / Active Directory, Okta, CrowdStrike, Zscaler, Palo Alto, Microsoft Defender, AWS, Azure, GCP, or SIEM platforms is a strong plus.
You don’t need experience with every technology listed. What matters most is a proven ability to understand complex APIs, learn new enterprise systems quickly, and transform heterogeneous data sources into reliable, scalable integrations.
Nice to HaveExperience designing reusable connector SDKs or integration frameworksExposure to large-scale streaming or event-processing systemsUnderstanding of authentication, authorization, privileged access, service accounts, and non-human identitiesExperience with audit logs, cloud activity, or security eventsBackground in Solution Architecture or Forward Deployed EngineeringExperience in cybersecurity startups or high-growth SaaS companiesExposure to AI/ML applications, LLMs, AI agents, or AI-powered security products
The OpportunityThis is a strong fit for someone who enjoys working at the intersection of:Data Engineering + Software Engineering + Cloud + Integrations + CybersecurityYou’ll be solving real-world enterprise integration challenges, working with technically demanding environments, and building capabilities that directly impact how quickly customers can adopt and use the platform.
📍 Location: LATAM🏠 Work Model: 100% Remote💵 Engagement: Contractor · Payment in USD🕐 Schedule: Full-time🌎 English: B2 / C1
Interested?Explore this and other opportunities at:www.darwoft.com/careers
Disclaimer – Lectura obligatoria: Compromiso y dedicaciónEste rol requiere dedicación full-time, con prioridad clara sobre los proyectos de Darwoft durante el horario laboral establecido. No es compatible con otros compromisos profesionales full-time. Cualquier actividad profesional adicional deberá ser informada previamente y no deberá interferir con las responsabilidades del rol.