Senior Data Ingestion Engineer - Remote LATAM

Hire Hangar, Inc.; Neuquén; Remote; ARS 138,361,000 - 230,602,000; 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 is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and engineering. This role emphasizes connectors, ingestion pipelines, and scalable solutions across complex data sources.

You'll work with Python/Go, REST APIs, Docker and Kubernetes, and deploy across AWS, Azure, and GCP. This is a 100% remote LATAM position offering significant autonomy and direct client impact.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience in Python and Go.
• Strong 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 SQL and NoSQL databases.
• Production experience with at least one major cloud platform (AWS, Azure, GCP).
• Experience working with Docker and Kubernetes.
• Strong 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, and security requirements.
• Participate in technical onboarding from discovery to 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 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 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 data architecture and implementation best practices.
• Identify recurring customer requirements and transform them into reusable connectors or platform improvements.
• Contribute technical insights to the product roadmap.
• Support production adoption and improve time-to-value for enterprise customers.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

CI/CD

Cloud platforms

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and engineering. This role emphasizes connectors, ingestion pipelines, and scalable solutions across complex data sources.

You'll work with Python/Go, REST APIs, Docker and Kubernetes, and deploy across AWS, Azure, and GCP. This is a 100% remote LATAM position offering significant autonomy and direct client impact.