Azure Data Engineer

Revel IT United State
Remote
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AI Summary

Design, build, and maintain Azure-based data pipelines using Synapse Analytics. Develop and optimize ETL/ELT processes to ingest, transform, and validate K–12 education data. Collaborate with analysts and vendors to deliver timely, accurate data for federal and state reporting.

Key Highlights
Design and maintain Azure-based data pipelines using Synapse Analytics
Develop and optimize ETL/ELT processes to ingest, transform, and validate K–12 education data
Collaborate with analysts and vendors to deliver timely, accurate data for federal and state reporting
Key Responsibilities
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 K–12 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
Technical Skills Required
Azure Data Factory Synapse Analytics T-SQL Azure SQL Azure DevOps Git CI/CD pipelines Azure Data Engineer Associate certification Common Education Data Standards (CEDS) Student information management systems K-12 data and reporting
Benefits & Perks
Fully remote
8am-5pm CST working hours
Nice to Have
Experience with student information management systems and K-12 data and reporting
Experience with Common Education Data Standards (CEDS)
Azure Data Engineer Associate certification

Job Description


Our direct client has a long-term (multi-year) contract need for an Azure Data Engineer.

Fully remote.


Working hours: 8am-5pm CST

  • 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 K–12 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).
  • Data warehousing and analytics engineering using Azure Synapse Analytics or similar cloud based platforms (dedicated and serverless SQL pools).
  • Strong T-SQL skills, including query optimization, indexing strategies, stored procedures, and performance tuning.
  • Implementation of ETL/ELT frameworks, including incremental loads, CDC patterns, and error handling.
  • Integration of structured and semi-structured data (CSV, JSON, XML) from APIs, SFTP, and vendor systems.
  • Source control and deployment practices using Azure DevOps, Git, and CI/CD pipelines.
  • Bachelor's degree required

Preferred:

  • Experience with student information management systems and K-12 data and reporting
  • Experience with Common Education Data Standards (CEDS)
  • Azure Data Engineer Associate certification


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