Senior Data Engineer: Ingestion & Integrations (Remote)

Epam Systems; La Pampa; Remote; ARS 184,482,000 - 276,723,000; Full time

Benefits offered by this job

Contractor agreement with payment in %

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 with engineering. You will design scalable ingestion mechanisms, ingest data from complex environments, and collaborate across teams to deliver secure, reliable data flows.

This role emphasizes hands-on data engineering, software engineering, and solution architecture for cloud environments and security-oriented platforms. Remote work from LATAM is supported.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Proficient in Python and Go.
• Experience designing and consuming REST APIs.
• Experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of both SQL and NoSQL databases.
• Production experience with at least one major cloud platform (AWS, Azure, GCP).
• Experience working with Docker and Kubernetes.
• Strong Git-based development workflows and CI/CD practices.
• Excellent communication for customer-facing technical conversations.

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, from discovery to production deployment.
• Design scalable ingestion architectures for high-volume data such as security events and logs.
• Build integrations using REST APIs, cloud-native services, event-driven architectures.
• Develop backend services using Python and/or Go.
• Work with SQL and NoSQL databases to store and analyze data.
• Operate containerized services with Docker and Kubernetes.
• Deploy and integrate solutions across AWS, Azure, and GCP environments.
• Troubleshoot complex deployment and integration issues across layers.
• Optimize ingestion performance, reliability, and scalability.
• Collaborate with Solution Architects, Sales Engineering, Customer Success, Product, and Engineering teams.
• Act as a trusted advisor on data architecture and integration best practices.
• Transform recurring customer requirements into reusable connectors and platform capabilities.
• Contribute insights to the product roadmap.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

CI/CD

Distributed systems

Customer-facing

Tools

SQL

NoSQL

AWS

Azure

GCP

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations, and collectors to bridge enterprise customers with engineering. You will design scalable ingestion mechanisms, ingest data from complex environments, and collaborate across teams to deliver secure, reliable data flows.

This role emphasizes hands-on data engineering, software engineering, and solution architecture for cloud environments and security-oriented platforms. Remote work from LATAM is supported.