Senior Data Ingestion Engineer - Remote (LATAM)

Agileengine, Llc.; Mar del Plata; Remote; ARS 184.482.000 - 292.096.000; Vollzeit

Benefits dieser Stelle

Contractor agreement with payment in "

100% remote work

English classes

Referral program

Access to learning platforms

Zusammenfassung

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to bridge customer needs with engineering efforts. You will design scalable ingestion pipelines and integrate data from diverse enterprise environments, combining data engineering and solution architecture in a customer-facing role.

You will work with cloud platforms (AWS/Azure/GCP), REST APIs, and modern architectures to deliver reliable data ingestion and observability, supporting security and

Qualifikationen

• 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 with Docker and Kubernetes.
• Strong CI/CD practices.

Aufgaben

• 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.

Kenntnisse

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

Docker

Kubernetes

CI/CD

Distributed systems

Communication skills

Customer-facing

Tools

AWS

Azure

GCP

Docker

Kubernetes

Jobbeschreibung

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and connectors to bridge customer needs with engineering efforts. You will design scalable ingestion pipelines and integrate data from diverse enterprise environments, combining data engineering and solution architecture in a customer-facing role.

You will work with cloud platforms (AWS/Azure/GCP), REST APIs, and modern architectures to deliver reliable data ingestion and observability, supporting security and