Senior Data Ingestion Engineer (Python/Go) - Remote LATAM

Epam Systems Inc; Rosario; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Contractor agreement with payment in U

100% remote work

English classes

Job summary

Darwoft is partnering with a cybersecurity-focused client to build an Identity Security and Observability platform. The Senior Data Engineer will design and implement data ingestion pipelines, connectors, and ingestion services to handle high-volume events and security telemetry in cloud and on-prem environments.

You will work with customers to map data sources, ensure secure integrations, and collaborate with solution architects, product teams, and engineers to deliver scalable, reliable data

Qualifications

• 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 data ingestion pipelines and integration platforms.
• Experience with cloud platforms: AWS, Azure, GCP.
• Experience working directly with customers.
• Strong knowledge of SQL and NoSQL databases.
• Docker and Kubernetes production experience.
• CI/CD practices.
• Strong debugging and troubleshooting across data pipelines and APIs.

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.
• 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.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

AWS

Azure

GCP

CI/CD

Customer-facing

Distributed systems

Job description

Darwoft is partnering with a cybersecurity-focused client to build an Identity Security and Observability platform. The Senior Data Engineer will design and implement data ingestion pipelines, connectors, and ingestion services to handle high-volume events and security telemetry in cloud and on-prem environments.

You will work with customers to map data sources, ensure secure integrations, and collaborate with solution architects, product teams, and engineers to deliver scalable, reliable data