Senior Data Engineer: Ingestion & Integrations (Remote)

Acciona It

Neuquén

Remote

ARS 154,540,000 - 278,173,000

Full time

2 days ago
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Benefits offered by this job

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

Job summary

Darwoft is seeking a Senior Data Engineer to design and implement data ingestion, connectors, and ingestion services for a security-focused platform. You will work with enterprise customers to understand data sources, security requirements, and integration constraints, delivering scalable ingestion solutions across cloud environments.

Responsibilities include building data collectors, connectors, and pipelines, integrating diverse data sources, and collaborating with cross-functional teams to

Qualifications

  • 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
  • Strong 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, 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 processes from discovery to deployment.
  • Design scalable ingestion architectures for processing security events, logs, identity activity, and 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 layers.

Skills

Python
Go
REST APIs
Data ingestion
Distributed systems
Cloud platforms
CI/CD
Debugging
Customer-facing

Tools

Docker
Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer to design and implement data ingestion, connectors, and ingestion services for a security-focused platform. You will work with enterprise customers to understand data sources, security requirements, and integration constraints, delivering scalable ingestion solutions across cloud environments.

Responsibilities include building data collectors, connectors, and pipelines, integrating diverse data sources, and collaborating with cross-functional teams to

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