Senior Data Ingestion Engineer: Cloud & API Connectors (Remote)

Agileengine, Llc.; La Pampa; Teletrabalho; ARS 139 086 000 - 200 903 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Contractor agreement with USD payment

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Resumo da oferta

Darwoft is hiring a Senior Data Engineer (Python/Go) to join a remote LATAM team building an Identity Security/Cybersecurity platform. You will design and implement data ingestion connectors and pipelines, integrating data from identity providers, cloud platforms, SIEMs, and network infrastructure.

You will work directly with customers to understand environments, data flows, and security requirements, delivering scalable ingestion solutions using Python/Go, Docker/Kubernetes, and cloud services

Qualificações

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong Python and Go development experience.
• Experience designing REST APIs.
• Hands-on data ingestion and integration experience.
• Experience with cloud platforms and distributed systems.
• Experience working with customers or stakeholders.

Responsabilidades

• 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 initial 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.
• Identify recurring customer requirements and transform them into reusable connectors, platform capabilities, or improvements to the core product.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and continuously improve time-to-value for enterprise customers.
• Participate in occasional customer-facing technical sessions and, when necessary, onsite engagements.

Conhecimentos

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL databases

Docker

Kubernetes

Cloud platforms (AWS, Azure, GCP)

CI/CD

Customer-facing collaboration

Formação académica

10+ years of professional Software/Data/Platform Engineering experience

Ferramentas

Docker

Kubernetes

AWS

Azure

GCP

Git

Descrição da oferta de emprego

Darwoft is hiring a Senior Data Engineer (Python/Go) to join a remote LATAM team building an Identity Security/Cybersecurity platform. You will design and implement data ingestion connectors and pipelines, integrating data from identity providers, cloud platforms, SIEMs, and network infrastructure.

You will work directly with customers to understand environments, data flows, and security requirements, delivering scalable ingestion solutions using Python/Go, Docker/Kubernetes, and cloud services