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About the RoleWe are looking for a skilled Data Engineer to play a pivotal role in designing, scaling, and optimizing our modern data platform. In this role, you won't just maintain existing structures—you will actively reshape our data ecosystem. Utilizing tools like Snowflake, Coalesce.io, and Airbyte, you will implement a robust Medallion architecture and mature our dimensional modeling practices. If you love transforming raw data into high-quality, analytics-ready assets and enjoy working in an agile, cross-functional environment, we’d love to have you on board.What You’ll Do (Responsibilities)Architect Data Pipelines: Design, deploy, and optimize scalable ETL/ELT pipelines using a modern data stack centered around Snowflake, Coalesce.io, and Airbyte, while managing legacy workflows via SQL Server/SSIS and Azure Data Factory.Own the Medallion Framework: Drive the implementation and maintenance of our multi-layered data lakehouse (Bronze, Silver, and Gold layers) within Snowflake.Advance Data Modeling: Champion best practices in dimensional data modeling, actively identifying and rectifying gaps in existing models to ensure high-performance reporting.Collaborate & Deliver: Partner with engineering and product teams using Jira for task alignment and GitHub for robust version control and CI/CD workflows.Ensure Data Integrity: Monitor and continuously improve data transformation workflows, ensuring maximum uptime, reliability, and data quality for downstream analytics.What You Bring (Requirements)Hands-on Expertise: Proven experience building data pipelines with Snowflake, Coalesce.io, and Airbyte. Strong foundational knowledge of SQL Server/SSIS and Azure Data Factory is highly valued.Architectural Knowledge: Clear, practical understanding of Medallion architecture principles and Kimball/dimensional modeling concepts.Problem-Solving Mindset: A strong analytical approach to data integration, with the ability to troubleshoot complex transformation workflows.Agile Collaboration: Comfortable working in a team-oriented environment utilizing Git/GitHub and Jira.Time Zone Alignment: Flexibility to ensure a minimum of 4 hours overlap with the US Eastern Time zone daily.Nice to Have (Bonus Points)Analytics Exposure: Experience with Power BI for dashboarding and data visualization.CRM Integrations: Familiarity with migrating and transforming Salesforce data.Domain Knowledge: Prior experience working within the Higher Education or Ed-Tech sectors.

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