Job description

Data Engineer “The Company does not provide visa sponsorship for this position. Applicants must be currently authorized to work in the U.S.” About Sally Beauty Holdings, Inc. At SBH, our purpose is to inspire a more colorful, confident, and welcoming world. We are the leader in professional hair color, selling and distributing professional beauty supplies across 11 countries through our Sally Beauty and Beauty Systems Group businesses. Sally Beauty offers products for hair color, hair care, nails, and skin care to retail customers looking for salon-quality products at a value price. Beauty Systems Group, branded as Cosmo Prof or Armstrong McCall stores, along with its direct sales consultants, sell professionally branded products intended for use and resale by salons to retail consumers. About the role This is a hybrid position working from our Legacy West Support Center in Plano, Texas. The Data Engineer is responsible for supporting the design, development, and maintenance of enterprise data solutions on the Data Bricks Lake House Platform. This role works closely with senior Data Engineers, Data Architects, Analytics Engineers, and business stakeholders to develop data pipelines, transform and validate data, and support reporting, analytics, artificial intelligence (AI), and machine learning (ML) initiatives. The Data Engineer I will participate in the implementation of modern cloud-based data solutions while developing technical expertise in data engineering best practices. Responsibilities • Design, develop, and maintain scalable data pipelines using the Databricks Lakehouse Platform. • Build ETL/ELT processes utilizing Apache Spark, PySpark, Spark SQL, and Delta Lake. • Design and implement Medallion Architecture (Bronze, Silver, Gold). • Develop batch and streaming data ingestion pipelines from enterprise systems, APIs, and cloud platforms. • Build reusable data 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 Knowledge, skills & abilities requirement • 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. Competencies & attributes • Databricks Lakehouse Platform • Delta Lake and Delta Live Tables (DLT) • Unity Catalog • Medallion Architecture (Bronze, Silver, Gold) • ETL/ELT Pipeline Development • Data Modeling and Data Warehousing • Lakehouse Architecture • SQL Development and Performance Optimization • Python Programming • REST API and Enterprise System Integration • Azure Data Lake Storage (ADLS) or Cloud Object Storage • Azure, AWS, or Google Cloud Platform • Business Intelligence and Analytics Support • Analytical and Problem-Solving Skills • Strong Written and Verbal Communication • Cross-Functional Collaboration • Planning, Organization, and Time Management • Results-Oriented with Strong Attention to Detail Working conditions & physical requirements • The work environment involves everyday risks or discomforts which require normal safety precautions typical of such places as offices, meeting and training rooms, retail stores, and residences or commercial vehicles, e.g., use of safe work practices with office equipment, avoidance of trips and falls, observance of fire regulations and traffic signals, etc. The work area is adequately lighted, heated, and ventilated. • The work is sedentary. Typically, the employee may sit comfortably to do the work. However, there may be some walking; standing; bending; carrying of light items such as papers, files, books, small parts; using a keyboard, driving an automobile, etc. No special physical demands are required to perform the work. Benefits We offer a competitive salary and outstanding benefits package that includes medical, dental, vision, life Insurance, paid vacation and sick days, paid holidays, tuition reimbursement and 401(k) with company match. In addition, associates of SBH may take advantage of our in-house salon with complementary services and a varied selection of food options at our corporate campus. Also, featured at our corporate campus, is both a Sally Beauty and CosmoProf Professional onsite store, where associates enjoy a great merchandise discount! #LI-Hybrid Come be a part of something bigger at Sally Beauty! The Data Engineer designs, builds, and supports scalable data solutions on the Databricks Lakehouse Platform that power reporting, analytics, AI/ML, and data science initiatives. This role develops cloud-native data pipelines, delivers trusted and governed data products, and partners with cross-functional teams to create secure, high-performing data solutions that drive informed business decisions.

Requirements

Must-haves

Data Engineer
“The Company does not provide visa sponsorship for this position. Applicants must be currently authorized to work in the U.S.”
About Sally Beauty Holdings, Inc.
This is a hybrid position working from our Legacy West Support Center in Plano, Texas.
Design, develop, and maintain scalable data pipelines using the Databricks Lakehouse Platform.
Build ETL/ELT processes utilizing Apache Spark, PySpark, Spark SQL, and Delta Lake.
Design and implement Medallion Architecture (Bronze, Silver, Gold).
Develop batch and streaming data ingestion pipelines from enterprise systems, APIs, and cloud platforms.
Build reusable data 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
Knowledge, skills & abilities requirement
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.

Nice-to-haves

Experience with Microsoft Azure, AWS, or Google Cloud Platform (Azure preferred).
Retail, merchandising, supply chain, or eCommerce experience preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningmlsqlazureawspythonrestapi

Platform: oracle-cloud
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)