Data Engineer

Pabst Brewing Company•San Antonio, TX

1d•Hybrid

About The Position

We’re looking for a Data Engineer to join our Data Systems team in San Antonio and help build the modern data foundation behind our business. This role is all about turning complex data into scalable, reliable solutions that power reporting, analytics, integrations, and AI-driven insights across the company. You’ll design and support cloud-native data platforms using Microsoft’s modern data ecosystem, while helping modernize legacy systems and shape the future of our data environment. We’re looking for someone who enjoys solving problems, building scalable systems, and partnering across teams to turn ideas into action.

Requirements

3-5+ years of overall IT experience, including 3+ years focused on data engineering
Strong experience with Microsoft SQL Server, T-SQL, stored procedures, views, and SSIS
Hands-on experience with Microsoft Azure and Microsoft Fabric
Experience with Azure Data Factory, Azure Data Lake Storage Gen2, Azure SQL, and Logic Apps
Familiarity with Medallion Architecture (Bronze/Silver/Gold) data modeling approaches
Strong analytical and problem-solving skills
Ability to communicate technical concepts clearly to both technical and non-technical audiences
A collaborative mindset with the ability to work independently and cross-functionally

Nice To Haves

Experience with Power BI reporting and dashboard development preferred
Exposure to data science workflows, machine learning, or AI deployments is a plus

Responsibilities

Design, develop, and optimize database objects including tables, views, and stored procedures within Microsoft Fabric
Build and maintain scalable ETL/ELT pipelines using Microsoft Fabric Pipelines, Azure Data Factory, SSIS, and Azure Data Lake Storage Gen2
Modernize and migrate legacy SSIS solutions into cloud-native Azure and Fabric environments
Partner with engineers, analysts, and business teams to develop scalable data warehouse and lakehouse solutions
Integrate data from internal and third-party systems using APIs, FTP/SFTP, and cloud ingestion patterns
Monitor and support production data pipelines to ensure reliability, performance, and data quality
Contribute to data architecture best practices around governance, security, scalability, and optimization
Help support a modern analytics environment that enables enterprise reporting, advanced analytics, and AI-driven insights