Data Engineer

Sally Beauty Supply LLC is building enterprise-grade data solutions to power reporting, analytics, AI, and machine learning. In this hybrid role based in Plano, Texas (Denton, TX area), you will design and deliver scalable data pipelines on the Databricks Lakehouse Platform while collaborating with stakeholders to support data-driven initiatives.

What you’ll be doing

The Data Engineer will support the design, development, and maintenance of enterprise data solutions, with a focus on reliability, performance, and governance.

• Design, develop, and maintain scalable data pipelines using the Databricks Lakehouse Platform
• Build ETL/ELT processes using Apache Spark, PySpark, Spark SQL, and Delta Lake
• Design and implement Medallion Architecture (Bronze, Silver, Gold)
• Develop batch and streaming ingestion pipelines from enterprise systems, APIs, and cloud platforms
• Create reusable transformation frameworks using PySpark and SQL
• Optimize Spark jobs and Delta Lake tables for performance, scalability, and cost efficiency
• Configure and support Unity Catalog for data governance, security, and lineage
• Develop workflows using Databricks Workflows and Jobs
• Support Change Data Capture (CDC) and incremental data processing
• Build semantic data models supporting reporting, analytics, AI, and machine learning
• Implement automated testing, monitoring, and alerting for data pipelines
• Create technical documentation, metadata, and operational standards
• Research and recommend new technologies and platform enhancements

Required qualifications

• Bachelor’s degree in computer science, Information Systems, Software Engineering, Data Engineering, or a related technical field
• 3+ years of experience in Data Engineering or Software Engineering
• 1+ years of hands-on experience with the Databricks Lakehouse Platform
• Experience with Azure Data Lake Storage (ADLS), Amazon S3, or similar cloud storage platforms
• Experience with Microsoft Azure, AWS, or Google Cloud Platform (Azure preferred)
• Experience supporting enterprise analytics platforms such as Power BI
• Retail, merchandising, supply chain, or eCommerce experience preferred

Tools and technologies you’ll work with

• Databricks Lakehouse Platform, Apache Spark, PySpark, Spark SQL, Delta Lake
• Medallion Architecture, Unity Catalog, Databricks Workflows and Jobs
• Change Data Capture (CDC), SQL, Delta Live Tables (DLT), REST API
• Azure Data Lake Storage (ADLS), Amazon S3, Microsoft Azure, AWS, Google Cloud Platform
• Power BI, Enterprise system integration, Databricks Workflows

Benefits

• Medical, dental, and vision insurance
• Life insurance
• Paid vacation and sick days
• Paid holidays
• Tuition reimbursement
• 401(k) with company match
• In-house salon with complementary services
• Varied selection of food options at the corporate campus
• Sally Beauty and CosmoProf Professional onsite store merchandise discount

About the role

This is a hybrid position working from the Legacy West Support Center in Plano, Texas.

Working conditions and physical requirements

The work environment includes everyday risks or discomforts typical of offices, meeting and training rooms, retail stores, residences, or commercial vehicles. The work area is adequately lighted, heated, and ventilated. The role is sedentary, typically involving sitting while working, with occasional walking, standing, bending, carrying light items, using a keyboard, and driving. No special physical demands are required.