Senior Data Ingestion Engineer — Remote, Cloud & Identity

PwC Argentina; Municipio de Rincón de los Sauces; Remote; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

100% remote work

English classes

Referral program

Learning platforms access

Argentina holidays

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge customers and engineering teams. This is a remote LATAM role offering hands-on design of scalable ingestion connectors for complex enterprise environments.

You will work with Python/Go, REST APIs, and cloud platforms, building reliable pipelines while collaborating with customers and internal teams to accelerate time-to-value.

Qualifications

• 10+ years of professional software, data, or platform engineering experience.
• Strong programming in Python and Go.
• Hands-on data ingestion pipelines, connectors, or integration platforms.
• Experience with REST APIs and cloud-native architectures.

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 constraints.
• Participate in onboarding processes from discovery to production deployment.
• Design scalable ingestion architectures for security events, logs, network telemetry, and other high-volume sources.
• Build integrations using REST APIs, cloud services, event-driven architectures, and modern software practices.
• Develop backend services primarily using Python and/or Go.
• Work with SQL and NoSQL databases to store, transform, query, and analyze 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.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, CS, Product, and Engineering teams.
• Act as trusted advisor on customer data architecture and implementation best practices.
• Identify recurring customer requirements and transform them into reusable connectors or platform capabilities.

Skills

Python

Go

REST APIs

Data ingestion

SQL/NoSQL

Docker

Kubernetes

CI/CD

Distributed systems

Customer collaboration

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge customers and engineering teams. This is a remote LATAM role offering hands-on design of scalable ingestion connectors for complex enterprise environments.

You will work with Python/Go, REST APIs, and cloud platforms, building reliable pipelines while collaborating with customers and internal teams to accelerate time-to-value.