Senior Data Engineer – Ingestion & Cloud Integrations (Remote)

Bluelight; Tandil; Remote; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

Contractor USD payments

100% remote work

English classes

Referral program

Learning platforms

Job summary

Darwoft is recruiting a Senior Data Engineer specialized in Data Ingestion, Integrations, and Connectors. You will work as a bridge between customers and engineering to ingest data from complex enterprise environments into the Identity Security platform.

You will design scalable ingestion architectures, build connectors, and implement cloud-based data pipelines using Python, Go, and modern backend practices. Remote LATAM engagement with global customers.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Hands-on data ingestion pipelines and integration work.
• Experience with REST APIs and distributed systems.
• CI/CD and Git-based workflows.
• Experience with Docker and Kubernetes.
• Cloud platforms: 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, and security systems.
• Work directly with customers to understand environments, data flows, and integration constraints.
• Deploy and operate ingestion architectures for high-volume data sources.

Skills

Python

Go

REST APIs

Data ingestion

Docker

Kubernetes

Cloud platforms

SQL

NoSQL

Distributed systems

Tools

AWS

Azure

GCP

Job description

Darwoft is recruiting a Senior Data Engineer specialized in Data Ingestion, Integrations, and Connectors. You will work as a bridge between customers and engineering to ingest data from complex enterprise environments into the Identity Security platform.

You will design scalable ingestion architectures, build connectors, and implement cloud-based data pipelines using Python, Go, and modern backend practices. Remote LATAM engagement with global customers.