Senior Data Engineer - Ingestion & Integrations (Remote LATAM)

EPAM Systems Inc; La Pampa; Remote; ARS 139,086,000 - 185,448,000; Full time

Benefits offered by this job

Contractor agreement with payment in 0

100% remote work

Argentina's public holidays

English classes

Referral program

Access to learning platforms

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and the engineering organization. You will design scalable ingestion pipelines using Python and Go, work with cloud services (AWS, Azure, GCP), Docker and Kubernetes, and collaborate with multiple teams to deliver reliable, secure data flows.

Join a customer-facing role that combines software engineering, architecture, and consulting skills to accelerate

Qualifications

• 10+ years of professional software or data engineering experience.
• Strong Python and Go development skills.
• Experience with REST APIs.
• Experience building data ingestion pipelines and integration platforms.
• Cloud experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Experience with SQL and NoSQL databases.
• Ability to work directly with customers and translate requirements.
• Strong communication and autonomous problem solving.

Responsibilities

• Design, develop, and maintain production-grade data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including identity providers, cloud platforms, SASE, 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 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

Data ingestion

REST APIs

SQL

NoSQL

Docker

Kubernetes

Cloud platforms

Tools

Docker

Kubernetes

AWS / Azure / GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers and the engineering organization. You will design scalable ingestion pipelines using Python and Go, work with cloud services (AWS, Azure, GCP), Docker and Kubernetes, and collaborate with multiple teams to deliver reliable, secure data flows.

Join a customer-facing role that combines software engineering, architecture, and consulting skills to accelerate