Intermediate Software Engineer - Item Data Management (Hybrid)

Publix Super Markets, Inc. , the largest employee\-owned company in the U. S.

, is driven by a dynamic technology team of 2,300\+ professionals delivering innovative solutions to 1,400\+ stores and 260,000\+ associates across 8 states.

From IT security and platform engineering to architecture, software development, and infrastructure, we offer career opportunities at every level \- internships through technical leadership.

Join a company consistently ranked among Fortune’s “100 Best Companies to Work For” and help us build more than great subs \- build the future of technology at Publix.

**As an Intermediate Software Engineer supporting the IDM (Item Data Management) team, you will be responsible for building the web application, along with Item Data Management services and solutions that supports capturing item data from various sources and prepare that data to displayed on Publix. com. **

**Location: Hybrid (Lakeland, FL):** To support our hybrid work model, candidates must reside, or be willing to relocate, within a commutable distance of Lakeland, FL.

**Work Model:** Enjoy the best of both worlds \- collaborate in person and innovate remotely.

**Interview Process:** Candidates selected to advance in the interview process will be required to participate in at least one onsite interview at our Lakeland, FL campus.

**Why Join Us? *** **Hybrid Flexibility:** Work remotely when you need focus time and join us onsite for high\-impact collaboration and brainstorming sessions.

• **Operational Efficiency:** Ensure technology solutions support efficient workflows and enable automation to improve operational effectiveness.
• **Empowered Culture:** We value autonomy, creativity, and continuous learning—your ideas shape the future of technology in our organization.

**Your Impact:*** Develop and maintain applications, APIs, and user interfaces using C\#, Blazor, Python, SQL, and cloud\-native technologies.

• Drive continuous improvements to item data management processes to enhance data quality, strengthen data integrity, and streamline business operations.
• Develop, optimize, and maintain scalable data pipelines, integration solutions, and data platforms using Databricks, PySpark, Azure SQL, Azure Data Lake, and other Azure cloud services.
• Utilize AI\-powered development tools such as Databricks Genie, GitHub Copilot, and Microsoft Copilot to improve productivity, accelerate development, and enhance data engineering workflows.
• Build automation solutions using Python, Databricks Workflows, Azure DevOps pipelines, and batch\-processing technologies to reduce manual effort and increase operational efficiency.
• Support application deployments and releases through Azure DevOps pipelines, source code repositories, and CI/CD best practices.
• Monitor application performance, data pipelines, cloud resources, and overall system health while partnering with teammates to improve reliability, scalability, efficiency, and performance.
• Participate in a rotating 24/7 on\-call support schedule to ensure system availability, data reliability, and business continuity in a fast\-paced enterprise environment.
• Stay current with emerging technologies in data engineering, cloud computing, artificial intelligence, and software development, and contribute innovative ideas for process and platform improvements.
• Contribute to the design and development of scalable Item Data Management solutions, ensuring data accuracy, consistency, and compliance with enterprise data governance standards.

\#LI\-JB1