Senior Data Ingestion Engineer: API Connectors (Remote)

Allshore Talent

Neuquén

A distancia

ARS 139.086.000 - 200.903.000

Jornada completa

hace 48 horas
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Ventajas ofrecidas por este puesto de trabajo

Contractor agreement with payment in  
100% remote work
Argentina's public holidays
English classes
Referral program
Access to learning platforms

Descripción de la vacante

Darwoft is seeking a Senior Data Engineer to design and implement scalable data ingestion connectors and pipelines for an Identity Security platform. You will engage with enterprise customers to understand their data sources, security requirements, and integration constraints, delivering reliable ingestion solutions across cloud environments.

You will collaborate with solution architects and engineering teams to optimize performance, reliability, and time-to-value for deployments, while

Formación

  • 10+ years of professional software/data engineering experience
  • Strong Python and Go development expertise
  • Experience designing and consuming REST APIs
  • Hands-on data ingestion pipelines and integration platforms
  • Experience with Docker and Kubernetes
  • Solid SQL/NoSQL knowledge and cloud delivery (AWS/Azure/GCP)
  • Experience with CI/CD and distributed systems
  • Strong customer-facing communication skills
  • Ability to translate customer requirements into pragmatic technical solutions
  • Autonomy and ownership in solving complex problems

Responsabilidades

  • Design, develop, and maintain production-grade data collectors and ingestion services
  • Integrate enterprise data sources including identity providers, cloud platforms, and security systems
  • Work directly with customers to understand environments, data flows, and constraints
  • Participate in onboarding, architecture design, and production deployment
  • Design scalable ingestion architectures for high-volume data like security events and logs
  • Build integrations using REST APIs, cloud-native services, and event-driven patterns
  • Develop backend services primarily with Python and/or Go
  • Operate Docker/Kubernetes-based containers and CI/CD pipelines
  • Deploy and integrate solutions across AWS, Azure, and GCP
  • Troubleshoot complex deployment and integration issues across multiple layers
  • Identify recurring customer needs and turn them into reusable connectors
  • Contribute insights to roadmap and improve time-to-value for customers
  • Engage in occasional customer-facing technical sessions and onsite engagements

Conocimientos

Python
Go
REST APIs
Data ingestion pipelines
Docker
Kubernetes
SQL
NoSQL
AWS
Azure
GCP
CI/CD
Distributed systems
Customer-facing communication

Descripción del empleo

Darwoft is seeking a Senior Data Engineer to design and implement scalable data ingestion connectors and pipelines for an Identity Security platform. You will engage with enterprise customers to understand their data sources, security requirements, and integration constraints, delivering reliable ingestion solutions across cloud environments.

You will collaborate with solution architects and engineering teams to optimize performance, reliability, and time-to-value for deployments, while

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