Senior Cloud Data Ingestion Engineer - Remote

EPAM Systems Inc; La Pampa; Remote; ARS 138,361,000 - 199,855,000; Full time

Benefits offered by this job

Contractor USD payment

100% remote work

Argentina 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 customers and engineering. You will design scalable ingestion solutions, work with enterprise data sources, and deploy across AWS, Azure, and GCP in a 100% remote LATAM setup.

You will collaborate with architects and customer teams to ensure reliable, secure data pipelines and provide hands-on implementation across cloud environments.

Qualifications

• 10+ years of professional Software Engineering, Data Engineering, Platform Engineering, or related experience.
• Strong software development experience with Python and Go.
• Strong experience designing and consuming REST APIs.
• Hands-on experience building data ingestion pipelines, connector frameworks, integration platforms, or similar systems.
• Experience integrating complex enterprise systems and third-party platforms.
• Solid understanding of SQL and NoSQL databases.
• Production experience with AWS, Azure, or GCP.
• Experience with Docker and Kubernetes.
• Strong Git-based development workflows and CI/CD practices.
• Experience designing reliable, scalable distributed systems.
• Strong debugging skills across APIs, infrastructure, networking, and data pipelines.
• Experience working directly with customers and stakeholders.
• Ability to translate complex customer requirements into pragmatic technical solutions.
• 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 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 processes from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and high-volume data sources.
• Build integrations using REST APIs, cloud-native 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 deployments across app, infra, 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 on data architecture, collection strategies, and security integrations.
• Identify recurring customer requirements and translate them into reusable connectors or platform improvements.
• Contribute insights to the product roadmap and support production adoption.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

CI/CD

Distributed systems

Customer-facing

Tools

Docker

Kubernetes

AWS

Azure

GCP

Git

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, integrations and collectors to bridge customers and engineering. You will design scalable ingestion solutions, work with enterprise data sources, and deploy across AWS, Azure, and GCP in a 100% remote LATAM setup.

You will collaborate with architects and customer teams to ensure reliable, secure data pipelines and provide hands-on implementation across cloud environments.