Senior Data Engineer - Ingestion & Integrations (Remote)

EPAM Systems Inc; Tandil; Remote; ARS 185,448,000 - 278,173,000; Full time

Benefits offered by this job

Contractor agreement with payment in 1

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 join our remote LATAM team supporting a cybersecurity platform for enterprise customers.

You will design scalable ingestion architectures, work directly with customers, and build connectors using Python and Go while deploying on AWS, Azure, and GCP. This is a 100% remote, contractor-friendly role with international collaboration.

Qualifications

• 10+ years of professional Software/Data/Platform Engineering experience.
• Strong Python and Go development experience.
• Experience building data ingestion pipelines and integration platforms.
• Proficiency with SQL and NoSQL databases.
• Experience with Docker, Kubernetes and CI/CD practices.
• Experience with AWS, Azure, and GCP.

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, architecture design, and production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and high-volume data.
• 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 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 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 or platform capabilities.
• Contribute technical insights from real-world implementations to the product roadmap.
• Support production adoption and 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

CI/CD

Cloud platforms

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to join our remote LATAM team supporting a cybersecurity platform for enterprise customers.

You will design scalable ingestion architectures, work directly with customers, and build connectors using Python and Go while deploying on AWS, Azure, and GCP. This is a 100% remote, contractor-friendly role with international collaboration.