Azure Data Engineer

Design, build, and maintain Azure-based data pipelines using Synapse Analytics to support MSIS and related education systems. Develop and optimize ETL/ELT processes to ingest, transform, and validate K12 education data from multiple source systems. Implement and manage data models, views, and performance tuning in Azure SQL and Synapse environments. Monitor, troubleshoot, and resolve data pipeline and performance issues. Document data flows, transformations, and technical standards. Collaborate with analysts, reporting teams, and vendors to deliver timely, accurate data for federal and state reporting A minimum of 5 years of experience in the following: Advanced development and orchestration of data pipelines using Azure Data Factory/Synapse or similar cloud based platforms. (pipelines, triggers, integration runtimes, parameterization). 2 4. Scoring Method Criteria Score Percentage Must equal 100% Cost 30 Required Skills/Experience 25 Preferred Skills/Experience 10 Candidate Interview ...