Intermediate Data Analytics Engineer - Commerce Ordering

Publix Super Markets • Lakeland, FL

22d • Hybrid

About The Position

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 200,000+ 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. Become a part of the Commerce - Ordering team! As an Intermediate Data Analytics Engineer, you will support both data analytical insight generation and hands on data engineering work. This role blends business focused data analysis with data transformation, modeling, and pipeline development to ensure high quality, analytics ready datasets. The ideal candidate should be equally comfortable writing advanced SQL, building dashboards, and working directly with data pipelines and warehouse structures. Location: Hybrid (Lakeland, FL) Work Model: Enjoy the best of both worlds—collaborate in person and innovate remotely.

Requirements

• Bachelor’s degree in management information systems, Computer Science, Business, or other analytical disciplines or equivalent experience
• 3+ years of Strong SQL skills with the ability to write and optimize complex queries across SQL Server and Snowflake. Comfortable sourcing from Azure Cosmos DB, Azure Application Insights (Kusto/Azure Data Explorer queries), and Azure storage.
• 3+ years of experience with Excel, Power BI for data analysis and visualization.
• 3+ years of Hands-on experience with Azure Databricks building production pipelines and transformations.
• 3+ years of Proficiency in Python for data manipulation and transformation.
• 3+ years of experience in application design, development, and delivery in an enterprise environment
• Familiarity with data modeling concepts and integrating data from diverse sources.
• 5+ years of experience in application design, development, and delivery in an enterprise environment
• 5+ years of experience developing large-scale data manipulation processes.
• 4+ years of experience utilizing Databricks for Python
• 5+ years of experience working with relational databases.
• 5+ years of experience implementing large scale enterprise applications.
• 5+ years of experience in analyzing complex, enterprise business problems or processes and translating business requirements into technology solutions that factor in system performance, usability, quality, cross-system interdependencies, scalability, and total cost of ownership.
• Experience in implementing enterprise applications using platform services like azure App service, COSMOS, Azure SQL, event hubs, Microservices, Snowflake DB, application insights, etc.
• Experience with Azure DevOps for managing project tasks, managing code repositories, and creating YAML pipelines for CI/CD builds and deployments.
• Experience with C# and/or Angular development
• Relevant Certifications in Data Analysis/Engineering

Responsibilities

• Analyze large, structured datasets from SQL Server, Snowflake, Application Insights, and COSMOS to identify trends, patterns, and anomalies.
• Translating business questions into analytical approaches and measurable KPIs.
• Perform ad hoc and recurring analyses to support leadership and business needs.
• Design, build, and maintain scalable batch and near real time data pipelines using Azure Databricks
• Ingesting data from multiple sources including databases like SQL Server, Azure SQL, Snowflake, Application Insights, and COSMOS.
• Design, build, and maintain dashboards and reports in tools like Excel using advanced formulas and pivots, Power BI using DAX, measures, visuals, drill downs.
• Automate data refresh processes to ensure timely and accurate data availability for business users.
• Collaborate with stakeholders to understand business needs and analytical requirements.
• Present findings and recommendations to stakeholders and leadership.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees