Senior Data Ingest Engineer - Cloud Integrations (Remote)

BeaconAI; San Carlos; Remote; ARS 138,361,000 - 199,855,000; Full time

Benefits offered by this job

Contractor agreement with payment in

100% remote work

Argentina's public holidays

English classes

Referral program

Job summary

Darwoft seeks a Senior Data Engineer focused on data ingestion and integrations to join our remote LATAM team. You will work with enterprise data sources, design scalable ingestion pipelines, and collaborate with customers and engineering teams to deliver reliable connectors.

Proficiency in Python/Go, cloud platforms, and modern data tech will drive faster value for clients and enable robust, scalable ingestion solutions across environments.

Qualifications

• 10+ years of professional software or data engineering experience.
• Proficient in Python and Go.
• Experience designing REST APIs and data ingestion pipelines.
• Experience with SQL and NoSQL databases.
• Cloud experience with AWS/Azure/GCP.
• Hands-on with Docker and Kubernetes.
• Strong customer-facing and consulting skills.

Responsibilities

• Design, develop, and maintain data collectors and ingestion services.
• Ingest data from enterprise sources including IdPs, cloud platforms, and SIEM systems.
• Collaborate with customers to understand environments and constraints.
• Build scalable ingestion architectures for high-volume data.
• Develop using Python and/or Go and containerized services.
• Deploy across AWS, Azure, and GCP environments.
• Troubleshoot complex deployments and optimize performance.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

Cloud platforms

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft seeks a Senior Data Engineer focused on data ingestion and integrations to join our remote LATAM team. You will work with enterprise data sources, design scalable ingestion pipelines, and collaborate with customers and engineering teams to deliver reliable connectors.

Proficiency in Python/Go, cloud platforms, and modern data tech will drive faster value for clients and enable robust, scalable ingestion solutions across environments.