Senior Data Ingestion & Integration Engineer - Remote

Bairesdev; Tandil; Remoto; ARS 185.750.000 - 278.625.000; Tempo pieno

Vantaggi offerti da questo lavoro

Contractor agreement with payment in美元

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Descrizione del lavoro

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to join our Identity Security project. You will design and build robust connectors, ingestion pipelines, and backend services in Python and Go, interfacing with cloud platforms and enterprise data sources in a remote LATAM setup.

In this customer-facing role, you’ll translate complex data requirements into scalable solutions, collaborate with architects and engineers, and help ensure production-grade reliability

Competenze

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong experience with Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines or integration platforms.

Mansioni

• 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, 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.

Conoscenze

Python

Go

REST APIs

Data ingestion pipelines

SQL

NoSQL

CI/CD

Cloud platforms

Customer-facing communication

Strumenti

Docker

Kubernetes

AWS

Azure

GCP

Descrizione del lavoro

Darwoft is seeking a Senior Data Engineer focused on data ingestion and integrations to join our Identity Security project. You will design and build robust connectors, ingestion pipelines, and backend services in Python and Go, interfacing with cloud platforms and enterprise data sources in a remote LATAM setup.

In this customer-facing role, you’ll translate complex data requirements into scalable solutions, collaborate with architects and engineers, and help ensure production-grade reliability