Azure Data Engineer

Location : Jackson, Mississippi

Work Arrangement : Remote

Employment Type : Contract

Shift : EST

Interview Mode : Online or In-person

Core Responsibilities

Pipeline Development : Design, build, and maintain Azure-based data pipelines using

Synapse Analytics and

Azure Data Factory .

ETL / ELT Optimization : Develop and optimize processes to ingest, transform, and validate structured and semi-structured K 12 education data (CSV, JSON, XML) from various sources, including APIs and SFTP.

Data Modeling : Implement and manage data models and views in Azure SQL and Synapse environments.

Performance Tuning : Perform advanced query optimization, indexing strategies, and performance tuning within dedicated and serverless SQL pools.

Collaboration : Partner with reporting teams and vendors to ensure data integrity for federal and state reporting.

DevOps : Utilize

Azure DevOps and Git for version control and CI / CD deployment practices.

Required Skills & Experience

Candidates must possess a

minimum of 5 years of experience in the following :

Cloud Orchestration : Advanced development of pipelines using Azure Data Factory / Synapse (including triggers, integration runtimes, and parameterization).

Data Warehousing : Professional experience with Azure Synapse Analytics (dedicated and serverless SQL pools).

Advanced T-SQL : Expert-level skills in stored procedures, query optimization, and indexing.

Framework Implementation : Hands-on experience with ETL / ELT frameworks, incremental loads, CDC patterns, and error handling.

Version Control : Proficiency in Azure DevOps and Git CI / CD pipelines.

Preferred Qualifications

Experience with

Student Information Management Systems and K-12 data reporting.

Familiarity with

Common Education Data Standards (CEDS) .

Azure Data Engineer Associate certification.

Scoring Criteria

Your application will be evaluated based on the following :

30% Cost

25% Required Skills / Experience

10% Preferred Skills / Experience

35% Candidate Interview