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
-
💰 - Day rate
Unknown
-
🗓️ - Date
February 10, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - 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