Senior Data Ingestion Engineer – Cloud, Remote LATAM

Coder Technologies Inc.

Rosario

Remote

ARS 139,086,000 - 216,357,000

Full time

2 days ago
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Benefits offered by this job

Contractor agreement with USD payment
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, integrations, and collectors to act as the technical bridge between customers and the engineering team. This is a remote, LATAM-facing role within a cybersecurity-focused project.

You will design scalable ingestion pipelines, build connectors, and collaborate with enterprise clients to architect data flows across cloud environments and security platforms.

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 AWS, Azure, and 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.
  • >Strong debugging skills across APIs, infrastructure, networking, application services, and data pipelines.
  • >Experience working directly with customers, stakeholders, or technical partners.
  • >Ability to translate complex customer requirements into pragmatic technical solutions.
  • >Strong communication skills and the ability to operate effectively in customer-facing technical conversations.
  • >High degree of autonomy and ownership when solving ambiguous technical problems.

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 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 onsite engagements.

Skills

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

Tools

AWS
Azure
GCP
Docker
Kubernetes
CI/CD

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to act as the technical bridge between customers and the engineering team. This is a remote, LATAM-facing role within a cybersecurity-focused project.

You will design scalable ingestion pipelines, build connectors, and collaborate with enterprise clients to architect data flows across cloud environments and security platforms.

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