Senior Data Ingestion Engineer — Remote (Cloud & Identity)

Epam Systems Inc; La Pampa; Remote; ARS 139,086,000 - 231,811,000; Full time

Benefits offered by this job

Contractor agreement in USD

Remote work 100%

Public holidays (Argentina)

English classes

Referral program

Learning platforms access

Job summary

Darwoft is seeking a Senior Data Engineer focused on data ingestion and connectors for an Identity Security platform. You will ingest data from diverse enterprise sources, design scalable pipelines, and work closely with customers to deliver reliable integrations in cloud environments.

You will develop backend services in Python/Go, leverage Docker and Kubernetes, and collaborate with cross-functional teams to ensure successful deployments across AWS, Azure, and GCP.

Qualifications

• 10+ years of professional software/data engineering experience.
• Strong Python and Go development skills.
• Experience building data ingestion pipelines or connectors.
• Experience with REST APIs and integration platforms.
• Proficiency with SQL and NoSQL databases.
• Experience with Docker and Kubernetes.
• Cloud expertise in AWS/Azure/GCP.
• Proven ability to work with customers and translate requirements.

Responsibilities

• Design, develop, and maintain data collectors, connectors, and ingestion services.
• Integrate enterprise data sources including IdPs, cloud platforms, and SIEM systems.
• Collaborate with customers to understand environments and integration constraints.
• Build scalable ingestion architectures for high-volume data like events and logs.
• Develop backend services in Python and/or Go and deploy via containers.
• Ensure reliability, security, and time-to-production for deployments.

Skills

Python

Go

REST APIs

Data ingestion

SQL

NoSQL

Docker

Kubernetes

CI/CD

AWS

Azure

GCP

Customer-facing

Tools

Python tooling

Cloud services

Job description

Darwoft is seeking a Senior Data Engineer focused on data ingestion and connectors for an Identity Security platform. You will ingest data from diverse enterprise sources, design scalable pipelines, and work closely with customers to deliver reliable integrations in cloud environments.

You will develop backend services in Python/Go, leverage Docker and Kubernetes, and collaborate with cross-functional teams to ensure successful deployments across AWS, Azure, and GCP.