Data Engineer - Sally Beauty

Overview

Data Engineer

This position is hybrid working from our Legacy West Support Center located in Plano Texas.

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

• Develop and maintain ETL/ELT data pipelines using Data Bricks, Apache Spark, and SQL.
• Assist with building and supporting Delta Lake tables and Medallion Architecture (Bronze, Silver, Gold).
• Develop data transformations using PySpark and SQL.
• Support ingestion of data from enterprise applications, APIs, databases, and cloud storage.
• Perform data validation, cleansing, and quality assurance activities.
• Monitor data pipelines and troubleshoot processing issues.
• Create and maintain technical documentation for data processes and workflows.
• Assist with implementing data governance, security, and data quality standards.
• Support reporting, analytics, and business intelligence initiatives.
• Participate in Agile planning, sprint reviews, and team meetings.
• Collaborate with senior engineers to implement scalable and reliable data solutions.
• Continuously learn new technologies and data engineering best practices.

Knowledge, skills & abilities requirement

• Bachelor’s degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, or a related technical field.
• 0–2 years of experience in data engineering, software development, analytics, or related technical experience.