Data Engineer
Sally Beauty Holdings•Denton, TX
•Hybrid
About The Position
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.
Requirements
- 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.
Nice To Haves
- Retail, merchandising, supply chain, or eCommerce experience preferred.
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.
Benefits
- medical
- dental
- vision
- 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 our corporate campus
- Sally Beauty and CosmoProf Professional onsite store, where associates enjoy a great merchandise discount!
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
