Senior Data Ingestion Engineer — Remote (Python/Go)

Agileengine, Llc.; Ciudad de Mendoza; Remote; ARS 138,361,000 - 199,855,000; Full time

Benefits offered by this job

Contractor agreement with payment in  

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and cloud deployments to join our Identity Security project. You will design and implement scalable ingestion pipelines, work with Python and Go, and collaborate with customers to understand data sources and security requirements.

This role blends data engineering, software engineering, and consulting as you build reliable connectors, integrate with AWS/Azure/GCP, and ensure production-grade reliability and security

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with 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 AWS, Azure, or GCP.
• Experience working with Docker and Kubernetes.

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 their environments, data flows, APIs, security requirements, and integration constraints.
• Participate in technical onboarding processes, from discovery and architecture design through production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, network telemetry, and other high-volume data sources.
• Build integrations using REST APIs, cloud-native services, event-driven architectures, and modern software engineering 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.
• Troubleshoot complex customer deployment and integration 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 customer data architecture, collection strategies, security integrations, and implementation best practices.

Skills

Python

Go

REST APIs

Data ingestion pipelines

SQL and NoSQL databases

Docker

Kubernetes

CI/CD practices

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and cloud deployments to join our Identity Security project. You will design and implement scalable ingestion pipelines, work with Python and Go, and collaborate with customers to understand data sources and security requirements.

This role blends data engineering, software engineering, and consulting as you build reliable connectors, integrate with AWS/Azure/GCP, and ensure production-grade reliability and security