Data Engineer

Austin, Texas - Field Sales Austin, TX 78701, USA Description About Pabst Nearly two centuries in, Pabst is still rewriting the playbook. We’re the team behind some of America’s most recognizable beer brands – driven by creativity, grit, and a passion for what’s next. We honor our heritage while pushing forward with bold ideas, fresh thinking, and a people-first culture. Because great brands are built by great people. The Role We’re looking for a Data Engineer to join our Data Systems teamand 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. Why You'll Love It Here Flexibility Work that fits your life – with a remote work schedule, unlimited vacation, 9 sick days, 10 company holidays, and 2 paid volunteer days. Great Benefits Comprehensive healthcare plans, a 401(k) with company match and immediate vesting, paid parental leave, disability coverage, life insurance, and more. Great People A casual, high-energy environment where authenticity is celebrated, curiosity is welcomed, and creativity is supported. It's a place where you can show up as yourself, take on meaningful challenges, and help build brands people actually care about. What You'll Do In 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 PBC takes pride in developing and promoting talent as an Equal Employment Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, national origin, gender, age, religion, disability, veteran status, or any other category protected by law. By fostering a diverse business environment, PBC welcomes opportunities to learn from each other, our customers, and business partners. California Residents click HERE for our Privacy Notice. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws.For further information, please review the Know Your Rights notice from the Department of Labor. #J-18808-Ljbffr