The RoleWe'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.
What You'll DoIn this role, you'll help shape and support the data systems that power smarter decisions across Pabst.
- 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
What You'll Bring- 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
- Experience with Power BI reporting and dashboard development preferred
- Exposure to data science workflows, machine learning, or AI deployments is a plus
- 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
Think you'd be a great fit? Let's talk. 
