Remote Senior Data Engineer - Ingestion & Integrations

Aesa (A-Evangelista Sa); Neuquén; Remote; ARS 136,310,000 - 196,892,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and collectors for a next-generation Identity Security/Cybersecurity platform. You will be a key technical bridge between enterprise customers and engineering, shaping ingestion strategies across cloud, on-prem, and SaaS environments.

You will design scalable ingestion solutions, work with REST APIs, and collaborate with stakeholders to ensure reliable, secure data flows while delivering value quickly

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong 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 one major cloud platform (AWS/Azure/GCP).
• Experience with Docker and Kubernetes.
• Strong CI/CD practices and Git-based workflows.
• Ability to translate complex customer requirements into pragmatic technical solutions.

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 from discovery through deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and network telemetry.
• 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 high-volume data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL databases

NoSQL databases

CI/CD

Tools

Docker

Kubernetes

AWS

Azure

GCP

Git

Job description

Darwoft is seeking a Senior Data Engineer (Python/Go) focused on data ingestion, integrations, and collectors for a next-generation Identity Security/Cybersecurity platform. You will be a key technical bridge between enterprise customers and engineering, shaping ingestion strategies across cloud, on-prem, and SaaS environments.

You will design scalable ingestion solutions, work with REST APIs, and collaborate with stakeholders to ensure reliable, secure data flows while delivering value quickly