Senior Data Ingestion Engineer (Python/Go) - Remote LATAM

Agileengine, Llc.; Ciudad de Mendoza; Remote; ARS 138,998,000 - 200,775,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Job summary

Darwoft seeks a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge customers and engineering. This role centers on building scalable connectors and ingestion pipelines for an identity security platform.

You will work with customers to understand their data sources, security requirements, and integration constraints, delivering reliable production-grade solutions and collaborating across teams to drive time-to-value in enterprise deployments.

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 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, and SIEM systems.
• Work directly with enterprise customers to understand environments, data flows, APIs, and integration constraints.
• Participate in technical onboarding from discovery and architecture design to deployment.
• Design scalable ingestion architectures for processing security events, logs, 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 data.
• Build and operate containerized services using Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex customer deployment issues across application, infrastructure, networking, API, and data layers.
• Optimize ingestion performance, reliability, scalability, and operational efficiency.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted technical advisor around data architecture and integration best practices.
• Identify recurring customer requirements and transform them into reusable connectors or platform improvements.
• Contribute technical insights to the product roadmap and support production adoption.

Skills

Python

Go

REST APIs

Data ingestion

Distributed systems

CI/CD

Docker

Kubernetes

SQL/NoSQL

Cloud platforms (AWS/Azure/GCP)

Tools

Docker

Kubernetes

AWS

Azure

GCP

Job description

Darwoft seeks a Senior Data Engineer focused on Data Ingestion, Integrations, and Collectors to bridge customers and engineering. This role centers on building scalable connectors and ingestion pipelines for an identity security platform.

You will work with customers to understand their data sources, security requirements, and integration constraints, delivering reliable production-grade solutions and collaborating across teams to drive time-to-value in enterprise deployments.