Data Engineer - Databricks Lakehouse (Hybrid, TX)

Sally Beauty; Denton (AR); Hybrid; USD 110,000 - 150,000; Full time

Benefits offered by this job

Medical, Dental, Vision

Life Insurance

Paid Vacation & Sick Days

Paid Holidays

Tuition Reimbursement

401(k) with Company Match

Onsite Salon & Store Discounts

Job summary

Sally Beauty Holdings, Inc. is seeking a Data Engineer to design, implement, and maintain data pipelines on the Databricks Lakehouse Platform.

You will collaborate with Data Engineers, Architects, and analytics teams to support reporting, AI, and ML initiatives. The role involves building batch and streaming data processes, ensuring data quality, governance, and scalable architectures while leveraging cloud storage and BI tools like Power BI.

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 hands-on experience with the Databricks Lakehouse Platform.
• Experience with ADLS, S3, or similar cloud storage.
• Experience with 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.

Responsibilities

• Design, develop, and maintain scalable data pipelines using the Databricks Lakehouse Platform.
• Build ETL/ELT processes using 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 and cloud platforms.
• Build reusable data transformation frameworks using PySpark and SQL.
• Optimize Spark jobs and Delta Lake tables for performance and cost efficiency.
• Configure and support Unity Catalog for data governance, security, and lineage.
• Develop workflows using Databricks Workflows and Jobs.
• Support CDC and incremental data processing.
• Build semantic data models for reporting, analytics, AI, and ML.
• Implement automated testing, monitoring, and alerting for data pipelines.
• Create technical documentation and metadata.

Skills

Databricks Lakehouse

Delta Lake

Unity Catalog

Medallion Architecture

ETL/ELT Pipeline Dev

Data Modeling

SQL Development

Python Programming

REST API Integration

Cloud Platforms

Power BI Support

Analytical Thinking

Communication

Cross-Functional Collaboration

Planning & Organization

Education

Bachelor’s degree in Computer Science or related field

Tools

Databricks

Azure Data Lake Storage

Amazon S3

Cloud Platforms (Azure/AWS/GC)

Job description

Sally Beauty Holdings, Inc. is seeking a Data Engineer to design, implement, and maintain data pipelines on the Databricks Lakehouse Platform.

You will collaborate with Data Engineers, Architects, and analytics teams to support reporting, AI, and ML initiatives. The role involves building batch and streaming data processes, ensuring data quality, governance, and scalable architectures while leveraging cloud storage and BI tools like Power BI.