Data platform
Pubblicato il 03-10-2026 - Stellar Virtual in Italia
Position Details
Reporting Manager: Director, Digital Learning Systems Status: Salary, Exempt Type: Regular, Full-Time (12 Months) Program: Stellar Virtual OMG - Corp Overview The Data Platform & Systems Engineer will be responsible for developing, maintaining, and progressively assuming day-to-day ownership of Stellar Virtual's data platform, including its ingestion pipelines, data warehouse, transformation layer, orchestration, integrations, and delivery systems. The engineer works across the full stack—Python, Azure, SQL, dbt, orchestration, and downstream delivery to ensure the platform is reliable, scalable, maintainable, and operationally sound.
Effective use of AI-assisted development and automation is an essential part of the role, both to accelerate engineering work and to improve system monitoring, management, and reliability. As familiarity with the platform grows, the engineer will be expected to work increasingly independently, identify opportunities for improvement, and contribute meaningfully to technical architecture and the platform roadmap.
Success in this role requires strong engineering judgment, ownership, clear communication, and consistent follow-through, in support of Stellar Virtual's mission of empowering families and unleashing potential. Essential Duties Data Ingestion Build, maintain, and improve Python-based ingestion pipelines integrating APIs, SFTP sources, files, and other external systems. Design pipelines using reliable engineering patterns, including incremental processing, idempotency, retry and backoff handling, checkpointing, and recoverability.
Diagnose and resolve source-system, authentication, schema, and data-transfer issues. Develop reusable ingestion patterns and shared components to reduce duplication and improve maintainability across integrations Data Modeling & Transformation Develop, maintain, and optimize SQL and dbt models across staging, intermediate, and analytical layers. Translate source-system data into well-d