Senior Data Ingestion & Integrations Engineer (Remote)

Bluelightconsulting; Santa Fe Capital; A distancia; ARS 139.086.000 - 231.811.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in $

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and ingestion services to serve enterprise cybersecurity customers remotely across LATAM. You will design and implement scalable ingestion pipelines and collaborate with customers and engineers.

You will combine data engineering, software engineering, and cloud architecture, working with Python/Go, REST APIs, and modern infrastructure on AWS/Azure/GCP.

Formación

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines and integration platforms.
• Experience integrating complex enterprise systems and third-party platforms.

Responsabilidades

• 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, and integration constraints.
• Participate in technical onboarding processes from discovery to deployment.
• Design scalable ingestion architectures for processing security events, logs, and identity activity.
• 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 layers.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around customer data architecture and implementation best practices.
• Identify recurring customer requirements and transform them into reusable connectors and platform capabilities.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Conocimientos

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

CI/CD

Cloud platforms

Herramientas

Git

CI/CD tooling

Descripción del empleo

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and ingestion services to serve enterprise cybersecurity customers remotely across LATAM. You will design and implement scalable ingestion pipelines and collaborate with customers and engineers.

You will combine data engineering, software engineering, and cloud architecture, working with Python/Go, REST APIs, and modern infrastructure on AWS/Azure/GCP.