Data Engineer
Core
Build and maintain ingestion pipelines, CDC streams, and Bronze-layer infrastructure to bring source-system data into Snowflake reliably, ensuring data completeness and historical preservation for Analytics Engineers.
Role type
Data Engineer (Ingestion & Bronze/Silver Layer)
Builds
Production data pipelines, CDC streams, and Bronze/Silver data models in Snowflake
Domain
Higher Education / Payment Technology / Data Engineering
Deliverable
production ML models | product features
Required skills
Python, SQL, Snowflake, Redpanda, Dagster, data quality checks, schema drift detection, idempotent load patterns, multi-tenant data modeling
Preferred skills
MongoDB, Kafka, Docker, financial data reconciliation, data governance practices
Technologies
Snowflake, Redpanda, Dagster, SQL Server, Oracle, PostgreSQL, MongoDB, Docker
Responsibilities
Build and maintain CDC and batch pipelines from source systems into Snowflake; Manage source-specific adapters across relational, document, API, and file-based sources; Design and maintain raw snapshot tables with historical tracking; Build conformed Silver models and own Bronze-to-Silver reconciliation; Run and monitor Dagster orchestration and implement data-quality checks at the ingestion boundary; Participate in severity-1 incident response for pipeline failures.
Seniority
Mid-level, early hire with clear growth path
