Azure Data Integration Engineer

Glazer's Beer and Beverage, LLC; Dallas, Northern (TX, KY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

Glazer's Beer and Beverage, LLC is seeking a Data Integration Specialist to design, build, and maintain enterprise data pipelines across reporting platforms and data stores. The role focuses on Azure cloud data services, Azure SQL, and secure integrations to enable reliable analytics and decision‑making.

You will partner with Enterprise Solutions and business teams to design practical data integration solutions, monitor pipeline health, and ensure data quality and performance across systems.

Qualifications

• 3–5+ years hands‑on data integration/engineering experience.
• Strong SQL, data transformation, and troubleshooting skills.
• Hands‑on with Azure data services (Azure Data Factory, Azure SQL/SQL Server, Blob Storage).
• Experience building and debugging production data pipelines and integration workflows.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory and related services.
• Monitor pipeline health, troubleshoot failures, and coordinate remediation to ensure timely data processing.
• Integrate data from APIs, FTP/SFTP, structured files, and common data formats.
• Maintain database, warehouse, lakehouse, and staging objects for data movement and consumption.
• Document data flows, mappings, dependencies, and runbooks.
• Support cloud modernization of on‑premise integrations to Azure‑based solutions.

Skills

SQL

Azure Data Factory

ETL/ELT

Data integration

Azure DevOps

Education

Bachelor's degree

Tools

Azure SQL

SQL Server

Git

Azure Data Factory

Job description

Glazer's Beer and Beverage, LLC is seeking a Data Integration Specialist to design, build, and maintain enterprise data pipelines across reporting platforms and data stores. The role focuses on Azure cloud data services, Azure SQL, and secure integrations to enable reliable analytics and decision‑making.

You will partner with Enterprise Solutions and business teams to design practical data integration solutions, monitor pipeline health, and ensure data quality and performance across systems.