Data Engineer

📋 Description

• Develop and maintain data ingestion pipelines, transformation logic, and data quality processes
• Implement and maintain Bronze, Silver, and Gold medallion architecture layers for assigned data
• Extract, transform, and load data from enterprise source systems, including: Student information
• Develop ETL and ELT pipelines that ingest source-system data into the Microsoft Fabric Lakehouse
• Build and maintain data integration pipelines, API connections, and automated synchronization
• Develop Ed-Fi REST API integrations supporting education data workstreams

🎯 Requirements

• Experience building data pipelines, ETL/ELT processes, and integrations
• Experience with Microsoft Fabric, Azure Data Factory, or comparable cloud data platforms
• Strong SQL skills for querying and transformation
• Experience with Python or PySpark for data engineering
• Experience with structured and semi-structured enterprise data
• Understanding of cloud-based data lake, lakehouse, or warehouse architectures

🎁 Benefits

• Company-supported certifications aligned to current and future program work, covering cloud
• Clear advancement tracks and future leadership opportunities
• 401(k) with 100% match up to 6%
• Comprehensive medical, dental, vision, life, and disability coverage
• Generous PTO and paid holidays
• Home-office equipment plan and remote work support