Senior Data Ingestion Engineer - Remote (Identity Security)

EPAM Systems Inc; Tandil; Remote; ARS 139,086,000 - 200,903,000; Full time

Benefits offered by this job

Contractor payment in USD

100% remote work

Argentina holidays

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations to join our remote team. You will design and build production-grade data collectors, ingest pipelines, and integration services for enterprise customers across cloud and on-prem environments.

You will work directly with clients to understand data sources, security requirements, and APIs, then implement scalable ingestion architectures using Python/Go, REST, Docker, and Kubernetes in AWS/Azure/GCP

Qualifications

• 10+ years of professional Software/Solutions/Data/Platform Engineering or related experience.
• Strong software development experience in Python and Go.
• Experience designing and consuming REST APIs.
• Hands-on data ingestion pipelines and integration platforms.

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 from discovery to production deployment.
• Design scalable ingestion architectures for processing security events, logs, identity activity, and network telemetry.
• 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.
• Troubleshoot complex customer 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 technical advisor on data architecture and security integrations.
• Identify recurring requirements and transform them into reusable connectors and platform improvements.
• Contribute technical insights to the product roadmap.
• Support production adoption and time-to-value for customers.
• Participate in occasional customer-facing technical sessions and onsite engagements.

Skills

Python

Go

REST APIs

Data ingestion

Cloud platforms

Docker

Kubernetes

SQL

NoSQL

CI/CD

Customer-facing

Tools

Docker

Kubernetes

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion, connectors, and integrations to join our remote team. You will design and build production-grade data collectors, ingest pipelines, and integration services for enterprise customers across cloud and on-prem environments.

You will work directly with clients to understand data sources, security requirements, and APIs, then implement scalable ingestion architectures using Python/Go, REST, Docker, and Kubernetes in AWS/Azure/GCP