Senior Data Engineer

Open 47d posting dated last month

About the Role

We 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, , 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, , 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, , 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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