Senior Data Engineer — Ingestion & Connectors (Remote)

OpenMined; La Pampa; Remote; ARS 139,086,000 - 200,903,000; 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, connectors, and ingestion pipelines to join our Identity Security project.

You will work remotely from LATAM, collaborating with customers to understand architectures and build scalable, reliable ingestion solutions using Python/Go, REST APIs, and cloud platforms across AWS/Azure/GCP. Strong ownership and customer-facing skills are essential.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Proficiency in Python and Go.
• 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 both SQL and NoSQL databases.
• Production experience with at least one major cloud platform: AWS, Azure, GCP.
• Experience working with Docker and Kubernetes.
• Strong understanding of Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable, and production-ready distributed systems.

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, security requirements, and integration constraints.
• Participate in technical onboarding processes from discovery and architecture through deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and high-volume data sources.
• 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 customer deployment and integration issues across multiple layers.

Skills

Python

Go

REST APIs

Data ingestion pipelines

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

Customer-facing

CI/CD

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and ingestion pipelines to join our Identity Security project.

You will work remotely from LATAM, collaborating with customers to understand architectures and build scalable, reliable ingestion solutions using Python/Go, REST APIs, and cloud platforms across AWS/Azure/GCP. Strong ownership and customer-facing skills are essential.