Senior Data Engineer - Data Ingestion & Cloud (Remote LATAM)

Hire Hangar, Inc.; Municipio de Rincón de los Sauces; Remote; ARS 122,988,000 - 184,482,000; Full time

Benefits offered by this job

Contractor agreement with payment in 1

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with the engineering team. This role emphasizes building scalable ingestion pipelines and connectors for an identity security platform.

You will work with Python/Go, cloud environments, and modern architectures in a remote LATAM setting. You will collaborate with cross-functional teams, design robust data ingestion solutions, and translate complex client requirements

Qualifications

• 10+ years of professional software/data engineering or related experience.
• Proficient in Python and Go.
• Experience building data ingestion pipelines and connector frameworks.
• Experience with customer-facing deployments and technical onboarding.
• Strong SQL and NoSQL databases knowledge.
• Production cloud experience (AWS/Azure/GCP).

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 constraints.
• Participate in technical onboarding processes, from initial 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.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Docker

Kubernetes

SQL

NoSQL

Cloud platforms (AWS/Azure/GCP)

Tools

CI/CD

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with the engineering team. This role emphasizes building scalable ingestion pipelines and connectors for an identity security platform.

You will work with Python/Go, cloud environments, and modern architectures in a remote LATAM setting. You will collaborate with cross-functional teams, design robust data ingestion solutions, and translate complex client requirements