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Intermediate Data Engineer - Commerce Ordering

Job in Lakeland, Polk County, Florida, 33809, USA
Listing for: Publix Super Markets
Full Time position
Listed on 2026-01-15
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst, Data Science Manager, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 95000 USD Yearly USD 95000.00 YEAR
Job Description & How to Apply Below

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This range is provided by Publix Super Markets. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$95,000.00/yr - $/yr

Description

Please note, this is a hybrid position requiring 8 days per month on site in Lakeland, FL. Join Publix Technology – Where Innovation Meets Impact. Publix Super Markets, Inc., the largest employee‑owned company in the U.S., is powered by a dynamic technology team of 2,100+ associates. We deliver modern, cutting‑edge solutions to 1,400+ stores and over 200,000 internal team members across 8 states.

Whether you’re passionate about IT security, platform engineering, architecture, software development, or infrastructure, we offer exciting career paths at every level – from internships to technical leadership. Be part of a Fortune “100 Best Companies to Work For” and help us build more than just great subs – build the future of technology for Publix. Become a کمک of the Commerce – Ordering team!

As an Intermediate Software Engineer, you will play a key role in designing, delivering, and maintaining high‑impact data reports, dashboards, and analytics solutions for leadership and business stakeholders. This position is ideal for individuals who excel at the intersection of software engineering and data analytics, with a strong emphasis on building and optimizing data pipelines, transforming complex datasets into actionable insights, and enabling data‑driven decision‑making across the portfolio.

Job Responsibilities
  • Design, develop, and maintain scalable and automated data pipelines using Azure Databricks, Data Factory, and Python.
  • Perform deep‑dive exploratory data analysis using Excel, Power BI, and Python to uncover trends, anomalies,.alibaba actionable insights.
  • Develop and optimize complex SQL queries to support data modeling, reporting, and analytics.
  • Create and maintain robust workflows for data ingestion, transformation, and integration from multiple systems like SQL Server, COSMOS, Azure SQL, Application Insights, and Snowflake.
  • Automate data refresh processes to ensure timely and accurate data availability for business users.
  • Provide analytical insights and business performance reporting to senior leadership.
  • Build intuitive and effective data visualizations to communicate findings to both technical and non‑technical stakeholders.
  • Collaborate with cross‑functional teams to understand data needs and deliver scalable solutions.
  • Monitor, troubleshoot, and optimize data workflows and pipelines in production environments.
  • Document data processes,一分钟 pipeline architecture, and best practices to support knowledge sharing and maintainability.
Required Qualifications
  • Bachelor’s degree in management information systems, Computer Science, Business.

    Reference, or other analytical disciplines or equivalent experience.
  • 3+ years of experience in application design, development, and delivery in an enterprise environment.
  • 3+ years of hands‑on experience with Azure Databricks, Data Factory, and cloud‑based data engineering tools.
  • 3 ntaub years of strong SQL skills with the ability to write and optimize complex queries.
  • 3+ years of experience with Excel склон Power BI for data analysis and visualization.
  • Familiarity with data modeling concepts and integrating data from diverse sources.
Preferred Qualifications
  • 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 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 deploying enterprise applications using platform services like Azure App Service, COSMOS, Azure SQL, event hubs, Microservices,…
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