Senior Data Engineer: Ingestion & Integrations (Remote LATAM)

Pearster; Santa Fe Capital; Remote; ARS 212,038,000 - 272,620,000; Full time

Benefits offered by this job

Contractor agreement with USD payment

100% remote work

Job summary

Darwoft is hiring a Senior Data Engineer (Python/Go) for data ingestion and integration work in a remote LATAM setup. You will design and implement scalable ingestion pipelines, connectors, and services that ingest data from enterprise environments into the platform.

You will collaborate with customers and cross-functional teams to ensure reliable deployments and high-performance data processing across cloud environments.

Qualifications

• 10+ years of professional software/ data/ platform engineering experience.
• Strong software development with Python and Go.
• Experience designing REST APIs and data ingestion pipelines.
• Experience integrating enterprise data sources and platforms.
• Solid SQL and NoSQL database knowledge.
• Production cloud experience (AWS/Azure/GCP).
• Experience with Docker and Kubernetes.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate data sources including identity providers, cloud platforms, networks, endpoints, and security tools.
• Work with customers to understand environments and data flows for integration constraints.
• Build scalable ingestion architectures for security events, logs, and telemetry.
• Deploy and operate containerized services using Docker and Kubernetes.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Cloud platforms

Docker

Kubernetes

Tools

Docker

Kubernetes

Job description

Darwoft is hiring a Senior Data Engineer (Python/Go) for data ingestion and integration work in a remote LATAM setup. You will design and implement scalable ingestion pipelines, connectors, and services that ingest data from enterprise environments into the platform.

You will collaborate with customers and cross-functional teams to ensure reliable deployments and high-performance data processing across cloud environments.