Data Engineer

What You Need To Know


Shape a remarkable future with us. Build a career working for an industry leader that truly invests in their people – and equips them with leading technology, continuous learning, and the ability to bring their best selves to work. As North America's largest total beverage distributor, Southern Glazer’s isn't just one of Forbes’ Top Private Companies; it's a family-owned business with deep roots dating back to 1933.

Southern Glazer’s is proud of its well-earned positive reputation, continually achieving accolades for our outstanding workplace culture. We take pride in creating a culture where our people are valued, supported, and provided opportunities for growth and belonging.

As a full-time employee, you can choose from a wide-ranging menu of our Top Shelf Benefits, including comprehensive medical and prescription drug coverage, dental and vision plans, tax-saving Flexible Spending Accounts, disability coverage, life insurance plans, and a 401(k) plan. We also offer tuition assistance, a wellness program, parental leave, vacation accrual, paid sick leave, and more.

By joining Southern Glazer’s, you would be part of a team that values excellence, innovation, and community. This is more than just a job – it's an opportunity to build the future of beverage distribution and grow with a company that truly cares about its people.

Overview


The Staff Data Engineer plays a pivotal role in managing the data strategy and architecture at Southern Glazer's Wine and Spirits (SGWS). This position is responsible for building and maintaining the development, implementation, and support of advanced data systems and solutions that have a significant impact across the organization. The Staff Data Engineer designs and manages scalable data infrastructures to transform raw data into actionable insights, driving value creation, growth, and business results.

This role requires a deep understanding of data engineering principles, advanced analytics, and machine learning techniques. In addition to collaborating and guiding architects, data analysts, and data scientists, the Staff Data Engineer takes ownership of complex projects, leads cross-functional initiatives, and mentors junior team members.

Primary Responsibilities


• Build and maintenance of data management systems that combine core data sources into accessible structures.
• Perform data conversions, imports, and exports of data within and between internal and external software systems.
• Develop programs to extract, transform, and load data between data sources.
• Create data transformation processes (ETL, SQL stored procedures, etc.) to support complex to moderately complex business systems and operational data flows.
• Update data dictionary.
• Maintain the quality of Metadata Repository by adding, modifying, and deleting data.
• Design and implement processes to ensure data integrity and standards.
• Recommend and implement data reliability, efficiency, and quality improvements.

Additional Primary Responsibilities


• Ensure the collected data is within required quality standards.
• Troubleshoot data analytic tools, systems, and software.
• Identify and resolve production and/or development problems that relate to the use of the database management systems.
• Resolve moderately complex conflicts between models and ensure data model consistency across SGWS (e.g., entity names, relationships, and definitions).
• Develop and maintain a query library to support data requests.
• Document and review models, solutions, and implementations (e.g., Data Mapping, Technical Specifications, Production Support, Data Dictionaries, Test Cases, etc.).
• Create custom software components and analytics applications.

Minimum Qualifications


• Bachelor’s or Master’s degree in Computer Science, Data Science, Software Engineering, Information Systems, or related field, or equivalent combination of education and work experience.
• Typically, 6-9+ years of experience in data management disciplines (e.g., data integration, modeling, optimization) or areas relevant to data engineering tasks (e.g., data visualization, business intelligence).
• Excellent verbal, written, presentation, and…