

Noblesoft Technologies
SME Azure Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an SME Azure Data Engineer, remote for 5 years, requiring a Bachelor’s degree and 5+ years of experience with Azure Data Factory/Synapse, T-SQL, and ETL/ELT frameworks. Preferred experience includes K-12 data and Azure Data Engineer Associate certification.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Deployment #Azure Synapse Analytics #Indexing #SQL (Structured Query Language) #Synapse #Data Pipeline #Data Engineering #Azure SQL #ADF (Azure Data Factory) #Azure Data Factory #"ETL (Extract #Transform #Load)" #JSON (JavaScript Object Notation) #XML (eXtensible Markup Language) #GIT #Cloud #Azure DevOps #Azure #DevOps #Triggers
Role description
Role: SME Azure Data Engineer
Location: Jackson, MS 39211 – Remote
Duration: 5 years
Position Description
Bachelor’s degree required
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.
Required Skills
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.
Preferred Skills
• Experience with student information management systems and K-12 data and reporting
• Experience with Common Education Data Standards (CEDS)
• Azure Data Engineer Associate certification
Role: SME Azure Data Engineer
Location: Jackson, MS 39211 – Remote
Duration: 5 years
Position Description
Bachelor’s degree required
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.
Required Skills
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.
Preferred Skills
• Experience with student information management systems and K-12 data and reporting
• Experience with Common Education Data Standards (CEDS)
• Azure Data Engineer Associate certification






