Senior Data Ingestion Engineer – Cloud Connectors (Remote)

Hire Hangar, Inc.; La Pampa; Remote; ARS 184,482,000 - 276,723,000; 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 hiring a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and collectors for a remote LATAM project. You will act as a bridge between enterprise customers and engineering, designing scalable ingestion mechanisms across cloud and on-prem environments.

You will work with Python/Go, REST APIs, and modern data pipelines, collaborating with clients to understand data sources and security requirements, while ensuring reliability and fast time-to-production.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Proficiency in Python and Go.
• Experience with REST APIs and data ingestion pipelines.

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 their environments, data flows, APIs, security requirements, and integration 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.

Skills

Python

Go

REST APIs

Data pipelines

Docker

Kubernetes

Cloud platforms

SQL/NoSQL

Customer-facing

CI/CD

Tools

AWS

Azure

GCP

Job description

Darwoft is hiring a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and collectors for a remote LATAM project. You will act as a bridge between enterprise customers and engineering, designing scalable ingestion mechanisms across cloud and on-prem environments.

You will work with Python/Go, REST APIs, and modern data pipelines, collaborating with clients to understand data sources and security requirements, while ensuring reliability and fast time-to-production.