Senior Data Engineer: Ingestion & Integrations (Remote)

Bluelightconsulting; Rosario; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Contractor agreement with payment in:

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion and integrations to join our Identity Security platform initiative. You will design scalable ingestion pipelines, work with customers to understand data sources, and deploy on cloud environments.

This remote, full-time role requires strong Python/Go skills, Docker/Kubernetes experience, and collaboration with cross-functional teams to deliver enterprise-grade integrations.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong Python and Go development experience.
• 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 cloud platforms (AWS, Azure, GCP).
• Experience with Docker and Kubernetes.
• Strong Git-based workflows and CI/CD practices.

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 from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and network telemetry.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software 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 deployment and integration issues across layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering.
• Act as trusted technical advisor on data architecture and integration best practices.
• Identify recurring customer requirements and convert to reusable connectors or platform improvements.
• Contribute insights to the product roadmap.
• Support production adoption and time-to-value for enterprise customers.
• Participate in occasional customer-facing sessions and onsite engagements.

Skills

Python

Go

REST APIs

Data pipelines

Cloud platforms

SQL

NoSQL

Docker

Kubernetes

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

SQL

NoSQL

Job description

Darwoft in LATAM is seeking a Senior Data Engineer focused on data ingestion and integrations to join our Identity Security platform initiative. You will design scalable ingestion pipelines, work with customers to understand data sources, and deploy on cloud environments.

This remote, full-time role requires strong Python/Go skills, Docker/Kubernetes experience, and collaboration with cross-functional teams to deliver enterprise-grade integrations.