À propos
Pay Rate - $60/hour on W2 or $70/hour on C2C (Can go up a couple of USD; however, please negotiate as much as possible since cost accounts for 30% of the total evaluation)
Azure Data Engineer
100% Remote – Jackson, Mississippi
Long Term Contract
Shift Start Time - 8:00 AM to 5:00 PM (CST)
Position Description and Job Skill Set
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/Experience
A minimum of 5 years of experience in the following:
Advanced development and
orchestration of data pipelines using Azure Data Factory/Synapse orsimilar 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
Experience with student information management systems and K-12 data and reporting
Experience with
Common Education Data Standards (CEDS)
Azure Data Engineer Associate certification
Scoring Method - Score Percentage Must equal 100%
Cost - 30 %
Required Skills/Experience - 25 %
Preferred Skills/Experience - 10 %
Candidate Interview - 35 %
Compétences linguistiques
- English
Avis aux utilisateurs
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