Data Engineer: Databricks Lakehouse Pipelines (Hybrid)

Sally Beauty Holdings, LLC; Denton (TX); Hybrid; USD 100,000 - 140,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) with company match

Paid vacation

Job summary

Sally Beauty Holdings, Inc. seeks a Data Engineer to design, develop, and maintain scalable data pipelines on the Databricks Lakehouse Platform. You will work with engineers, data architects, analytics teams, and stakeholders to enable AI/ML and reporting initiatives.

The role focuses on modern cloud-based data solutions, data governance, and performance optimization while collaborating across cloud vendors. Hybrid work from Plano, TX is offered.

Qualifications

• Bachelor's degree in computer science, information systems, software engineering, data engineering, or a related field.
• 3+ years of experience in Data Engineering or Software Engineering.
• 1+ years of hands-on experience with the Databricks Lakehouse Platform.

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 ML.
• Implement automated testing, monitoring, and alerting for data pipelines.
• Create technical documentation, metadata, and operational standards.
• Research and recommend new technologies and platform enhancements

Skills

Python Programming

SQL Development

Databricks Lakehouse Platform

ETL/ELT Pipeline Development

Data Modeling

Education

Bachelor's degree in CS/IS/SE/Data Eng

Tools

Databricks

Spark

Azure

AWS

Google Cloud Platform

Power BI

Job description

Sally Beauty Holdings, Inc. seeks a Data Engineer to design, develop, and maintain scalable data pipelines on the Databricks Lakehouse Platform. You will work with engineers, data architects, analytics teams, and stakeholders to enable AI/ML and reporting initiatives.

The role focuses on modern cloud-based data solutions, data governance, and performance optimization while collaborating across cloud vendors. Hybrid work from Plano, TX is offered.